What is Informatica Powercenter
Download as PPTX, PDF0 likes1,533 views
Informatica PowerCenter is an ETL tool used to extract data from source systems like OLTP databases, transform it to meet business needs, and load it into data warehouses like OLAP systems. It provides capabilities for understanding, cleaning, and modifying source data as well as assigning keys and loading data into the target. Mappings in PowerCenter define the ETL process. PowerCenter has been released in multiple versions since 2002 and is used by companies to integrate and move data between different systems.
1 of 8
Downloaded 21 times
Ad
Recommended
1. informatica power center architecture
1. informatica power center architectureMuhammad Salah ElOkda This slides presents the architecture of the Informatica PowerCenter and each of its component.
This can help ETL PowerCenter developers understand how their mapping works internally and it's an introduction to the Informatica Administration.
Informatica PowerCenter
Informatica PowerCenterRamy Mahrous All about Informatica PowerCenter features for both Business and Technical staff, it illustrates how Informatica PowerCenter solves core business challenges in Data Integration projects.
Informatica basics for beginners | Informatica ppt
Informatica basics for beginners | Informatica pptIQ Online Training Informatica has become a market leader in ETL because of its wide usage. Live interactive and best in industry Informatica Online Training is provided at IQ Online Training. For a FREE LIVE demo, register at IQ OnlineTraining.
ETL Using Informatica Power Center
ETL Using Informatica Power CenterEdureka! This document provides an overview of an Informatica training course offered by Edureka. The course covers topics such as ETL fundamentals, Informatica PowerCenter components, transformations, debugging techniques, and performance tuning. It aims to help students of varying experience levels learn skills for roles like ETL developer, data specialist, and Informatica administrator. The course contains modules on PowerCenter installation, administration, architecture, and best practices, along with hands-on labs and projects. Students will receive a certificate upon completion. More details on the course structure and registration are available on Edureka's website.
Informatica session
Informatica sessionvinuthanallam The document provides an overview of the ETL tool Informatica. It discusses that ETL stands for Extraction, Transformation, and Loading and is the process of extracting data from sources, transforming it, and loading it into a data warehouse or other target. It describes the key components of Informatica including the repository, client, server, transformations like filters and aggregators, and how mappings are used to move data from sources to targets. Finally, it provides examples of how to create simple mappings in Informatica Designer.
Building Lakehouses on Delta Lake with SQL Analytics Primer
Building Lakehouses on Delta Lake with SQL Analytics PrimerDatabricks You’ve heard the marketing buzz, maybe you have been to a workshop and worked with some Spark, Delta, SQL, Python, or R, but you still need some help putting all the pieces together? Join us as we review some common techniques to build a lakehouse using Delta Lake, use SQL Analytics to perform exploratory analysis, and build connectivity for BI applications.
Informatica PowerCenter Tutorial | Informatica Tutorial for Beginners | Edureka
Informatica PowerCenter Tutorial | Informatica Tutorial for Beginners | EdurekaEdureka! This Edureka Informatica PowerCenter Tutorial will help you in understanding the various components of Informatica PowerCenter in detail with examples. You will be given a detailed understanding of each client and administrator tool. You will also understand the role of these tools in various phases to solve a use case. Below are the topics covered in this tutorial:
1. Informatica PowerCenter Overview
2. Why Do We Need Data Integration?
3. ETL Process
4. Informatica PowerCenter Administrator Console.
5. Informatica PowerCenter Repository Manager.
6. Informatica PowerCenter Designer
7. Informatica PowerCenter Workflow Manager
8. Informatica PowerCenter Workflow Monitor
Informatica Tutorial For Beginners | Informatica Powercenter Tutorial | Edureka
Informatica Tutorial For Beginners | Informatica Powercenter Tutorial | EdurekaEdureka! This Edureka Informatica Tutorial helps you understand Informatica PowerCenter in detail. This Informatica tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Informatica concepts. Below are the topics covered in this tutorial:
1. What Is Informatica?
2. Informatica Products and Functionalities
3. Informatica Architecture Overview and Components
4. Domain and Nodes
5. Informatica Services
6. Overview of ETL
7. Component Based Development
Considerations for Data Access in the Lakehouse
Considerations for Data Access in the LakehouseDatabricks Organizations are increasingly exploring lakehouse architectures with Databricks to combine the best of data lakes and data warehouses. Databricks SQL Analytics introduces new innovation on the “house” to deliver data warehousing performance with the flexibility of data lakes. The lakehouse supports a diverse set of use cases and workloads that require distinct considerations for data access. On the lake side, tables with sensitive data require fine-grained access control that are enforced across the raw data and derivative data products via feature engineering or transformations. Whereas on the house side, tables can require fine-grained data access such as row level segmentation for data sharing, and additional transformations using analytics engineering tools. On the consumption side, there are additional considerations for managing access from popular BI tools such as Tableau, Power BI or Looker.
The product team at Immuta, a Databricks partner, will share their experience building data access governance solutions for lakehouse architectures across different data lake and warehouse platforms to show how to set up data access for common scenarios for Databricks teams new to SQL Analytics.
Best Practices for Building and Deploying Data Pipelines in Apache Spark
Best Practices for Building and Deploying Data Pipelines in Apache SparkDatabricks Many data pipelines share common characteristics and are often built in similar but bespoke ways, even within a single organisation. In this talk, we will outline the key considerations which need to be applied when building data pipelines, such as performance, idempotency, reproducibility, and tackling the small file problem. We’ll work towards describing a common Data Engineering toolkit which separates these concerns from business logic code, allowing non-Data-Engineers (e.g. Business Analysts and Data Scientists) to define data pipelines without worrying about the nitty-gritty production considerations.
We’ll then introduce an implementation of such a toolkit in the form of Waimak, our open-source library for Apache Spark (https://github.com/CoxAutomotiveDataSolutions/waimak), which has massively shortened our route from prototype to production. Finally, we’ll define new approaches and best practices about what we believe is the most overlooked aspect of Data Engineering: deploying data pipelines.
Understanding Multitenancy and the Architecture of the Salesforce Platform
Understanding Multitenancy and the Architecture of the Salesforce PlatformSalesforce Developers Join us as we take a deep dive into the architecture of the Salesforce platform, explain how multitenancy actually works, and how it affects you as a developer. Showing the technology we use and the design principles we adhere to, you'll see how our platform teams manage three major upgrades a year without causing any issues to existing development. We'll cover the performance and security implications around the platform to give you an understanding of how limits have evolved. By the end of the session you'll have a better grasp of the architecture underpinning Force.com and understand how to get the most out of it.
Oracle Apps Technical Syllabus
Oracle Apps Technical SyllabusOracle Financial R12 Online Training PERUSE Technologies offers online and offline courses in IT and business topics, including functional Oracle courses. The company provides a comprehensive range of state-of-the-art training and courses targeted at working professionals, experienced consultants, and new graduates. The document then lists the technical syllabus for Oracle Apps training, outlining topics such as the Oracle application architecture, database structure, concurrent programs, reports, modules, forms, interfaces, conversions, flex fields, and XML Publisher.
Informatica Training | Informatica PowerCenter | Informatica Tutorial | Edureka
Informatica Training | Informatica PowerCenter | Informatica Tutorial | EdurekaEdureka! This Edureka Informatica Training tutorial will help you in understanding the various components of Informatica PowerCenter in detail with examples. You will be given a detailed understanding of Informatica PowerCenter architecture and ETL process. You will also understand the role of these tools in various phases to solve a use case. Below are the topics covered in this tutorial:
1) Informatica PowerCenter Overview
2) Informatica Architecture overview
3) ETL Process
4) Informatica PowerCenter Designer
5) Informatica PowerCenter Workflow Manger
6) Informatica PowerCenter Workflow Monitor
Intro to Delta Lake
Intro to Delta LakeDatabricks Delta Lake brings reliability, performance, and security to data lakes. It provides ACID transactions, schema enforcement, and unified handling of batch and streaming data to make data lakes more reliable. Delta Lake also features lightning fast query performance through its optimized Delta Engine. It enables security and compliance at scale through access controls and versioning of data. Delta Lake further offers an open approach and avoids vendor lock-in by using open formats like Parquet that can integrate with various ecosystems.
Data warehouse
Data warehouseRamkrishna bhagat Data warehousing involves collecting data from different sources and organizing it in a way that allows for analysis to make business decisions. It provides a single, complete view of data that end users can easily understand. A data warehouse stores integrated data from multiple sources and provides historical views of data to support analysis. It allows organizations to access critical information to support reporting, queries and decision making. Common applications of data warehousing include banking, healthcare, airlines and telecommunications.
Informatica slides
Informatica slidessureshpaladi12 The document provides an overview of the Informatica PowerCenter 7.1 product, describing its major components for ETL development, how to build basic mappings and workflows, and available options for loading target data. It also outlines the course objectives to understand PowerCenter architecture and components, build mappings and workflows, and troubleshoot common problems. Resources available from Informatica like documentation, support, and certification programs are also summarized.
The delta architecture
The delta architecturePrakash Chockalingam Lambda architecture is a popular technique where records are processed by a batch system and streaming system in parallel. The results are then combined during query time to provide a complete answer. Strict latency requirements to process old and recently generated events made this architecture popular. The key downside to this architecture is the development and operational overhead of managing two different systems.
There have been attempts to unify batch and streaming into a single system in the past. Organizations have not been that successful though in those attempts. But, with the advent of Delta Lake, we are seeing lot of engineers adopting a simple continuous data flow model to process data as it arrives. We call this architecture, The Delta Architecture.
Snowflake Datawarehouse Architecturing
Snowflake Datawarehouse ArchitecturingIshan Bhawantha Hewanayake Introduction to Snowflake Datawarehouse and Architecture for Big data company. Centralized data management. Snowpipe and Copy into a command for data loading. Stream loading and Batch Processing.
Data & analytics challenges in a microservice architecture
Data & analytics challenges in a microservice architectureNiels Naglé DataSaturday 2019 session:
Domain driven design, microservices, event-driven, polyglot data storage. All popular developments within software architecture to realize modular and ultra-scalable solutions. But what is the impact on the Data & Analytics side? So how to contain a global vision on the data and processes when every service contains their own logic, data and enrichments? which data is leading? How to avoid conflicts? So what do these architectures mean for Data & Analytics.
Data Catalog for Better Data Discovery and Governance
Data Catalog for Better Data Discovery and GovernanceDenodo Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
Elastic Stack Introduction
Elastic Stack IntroductionVikram Shinde Getting Started with Elastic Stack.
Detailed blog for the same
http://vikshinde.blogspot.co.uk/2017/08/elastic-stack-introduction.html
Informatica Products and Usage
Informatica Products and UsageBigClasses Com Informatica products and usage, informatica developer,informatica analyst,informatica powerexchange,informatica powercenter,informatica data quality,master data management,data masking,data visualization,informatica products list
Informatica interview questions
Informatica interview questionsmarukonda This document contains interview questions about Informatica transformations and concepts. Some key points include:
- Transformations like Filter, Joiner, Aggregator, Lookup are discussed along with their properties and usage.
- The differences between various transformations like Source Qualifier, Filter, Router, and types of joins are explained.
- Performance tuning techniques for transformations like Joiner are provided.
- Mapping concepts like parameters, variables, reusable transformations are covered.
- Lookup transformations and cache types are described.
Introduction to snowflake
Introduction to snowflakeSunil Gurav Snowflake is an analytic data warehouse provided as software-as-a-service (SaaS). It uses a unique architecture designed for the cloud, with a shared-disk database and shared-nothing architecture. Snowflake's architecture consists of three layers - the database layer, query processing layer, and cloud services layer - which are deployed and managed entirely on cloud platforms like AWS and Azure. Snowflake offers different editions like Standard, Premier, Enterprise, and Enterprise for Sensitive Data that provide additional features, support, and security capabilities.
Talend Components | tMap, tJoin, tFileList, tInputFileDelimited | Talend Onli...
Talend Components | tMap, tJoin, tFileList, tInputFileDelimited | Talend Onli...Edureka! ***** Talend Training: https://www.edureka.co/talend-for-big-data *****
This Edureka tutorial on Talend Components will demonstrate the usage of few of the majorly used components in Talend like tMap, tJoin, tFileInputDelimited, tMysqlRow etc.This video helps you to learn the following topics:
1. What is Talend?
2. Talend Component Families
3. Talend File Components
4. Talend Processing Components
5. Talend Database Components
ETL Made Easy with Azure Data Factory and Azure Databricks
ETL Made Easy with Azure Data Factory and Azure DatabricksDatabricks This document summarizes Mark Kromer's presentation on using Azure Data Factory and Azure Databricks for ETL. It discusses using ADF for nightly data loads, slowly changing dimensions, and loading star schemas into data warehouses. It also covers using ADF for data science scenarios with data lakes. The presentation describes ADF mapping data flows for code-free data transformations at scale in the cloud without needing expertise in Spark, Scala, Python or Java. It highlights how mapping data flows allow users to focus on business logic and data transformations through an expression language and provides debugging and monitoring of data flows.
Building Modern Data Platform with Microsoft Azure
Building Modern Data Platform with Microsoft AzureDmitry Anoshin This document provides an overview of building a modern cloud analytics solution using Microsoft Azure. It discusses the role of analytics, a history of cloud computing, and a data warehouse modernization project. Key challenges covered include lack of notifications, logging, self-service BI, and integrating streaming data. The document proposes solutions to these challenges using Azure services like Data Factory, Kafka, Databricks, and SQL Data Warehouse. It also discusses alternative implementations using tools like Matillion ETL and Snowflake.
SAP Data Services
SAP Data ServicesGeetika SAP Data Services is a data integration and transformation software application. It also supports changed-data capture (CDC), which is an important capability for providing input data to both data-warehousing and stream-processing systems.
It is an ETL tool which gives a single enterprises level solution for data integration, Transformation, Data quality, Data profiling and text data processing from the heterogeneous source into a target database or data warehouse.
Informatica Powercenter Architecture
Informatica Powercenter ArchitectureBigClasses Com Watch Tutorial On Informatica Powercenter Architecture with video,informatica powercenter architecture diagram,informatica powercenter architecture over view,informatica powercenter architecture 8 diagram,informatica powercenter 9.5 architecture,informatica powercenter architecture ppt
01 power center 8.6 basics
01 power center 8.6 basicsuthayan87 This document provides an overview of an Informatica PowerCenter 8.6 Basics Training Course. The training course will cover understanding PowerCenter components, performing basic administration tasks, building basic mappings and mapplets, understanding transformations and loading target data, and troubleshooting common issues. It will also cover ETL concepts, the PowerCenter architecture, connecting components, extracting and transforming source data, loading to targets, and transformation concepts like types, views, functions, and basic transformations.
Ad
More Related Content
What's hot (20)
Considerations for Data Access in the Lakehouse
Considerations for Data Access in the LakehouseDatabricks Organizations are increasingly exploring lakehouse architectures with Databricks to combine the best of data lakes and data warehouses. Databricks SQL Analytics introduces new innovation on the “house” to deliver data warehousing performance with the flexibility of data lakes. The lakehouse supports a diverse set of use cases and workloads that require distinct considerations for data access. On the lake side, tables with sensitive data require fine-grained access control that are enforced across the raw data and derivative data products via feature engineering or transformations. Whereas on the house side, tables can require fine-grained data access such as row level segmentation for data sharing, and additional transformations using analytics engineering tools. On the consumption side, there are additional considerations for managing access from popular BI tools such as Tableau, Power BI or Looker.
The product team at Immuta, a Databricks partner, will share their experience building data access governance solutions for lakehouse architectures across different data lake and warehouse platforms to show how to set up data access for common scenarios for Databricks teams new to SQL Analytics.
Best Practices for Building and Deploying Data Pipelines in Apache Spark
Best Practices for Building and Deploying Data Pipelines in Apache SparkDatabricks Many data pipelines share common characteristics and are often built in similar but bespoke ways, even within a single organisation. In this talk, we will outline the key considerations which need to be applied when building data pipelines, such as performance, idempotency, reproducibility, and tackling the small file problem. We’ll work towards describing a common Data Engineering toolkit which separates these concerns from business logic code, allowing non-Data-Engineers (e.g. Business Analysts and Data Scientists) to define data pipelines without worrying about the nitty-gritty production considerations.
We’ll then introduce an implementation of such a toolkit in the form of Waimak, our open-source library for Apache Spark (https://github.com/CoxAutomotiveDataSolutions/waimak), which has massively shortened our route from prototype to production. Finally, we’ll define new approaches and best practices about what we believe is the most overlooked aspect of Data Engineering: deploying data pipelines.
Understanding Multitenancy and the Architecture of the Salesforce Platform
Understanding Multitenancy and the Architecture of the Salesforce PlatformSalesforce Developers Join us as we take a deep dive into the architecture of the Salesforce platform, explain how multitenancy actually works, and how it affects you as a developer. Showing the technology we use and the design principles we adhere to, you'll see how our platform teams manage three major upgrades a year without causing any issues to existing development. We'll cover the performance and security implications around the platform to give you an understanding of how limits have evolved. By the end of the session you'll have a better grasp of the architecture underpinning Force.com and understand how to get the most out of it.
Oracle Apps Technical Syllabus
Oracle Apps Technical SyllabusOracle Financial R12 Online Training PERUSE Technologies offers online and offline courses in IT and business topics, including functional Oracle courses. The company provides a comprehensive range of state-of-the-art training and courses targeted at working professionals, experienced consultants, and new graduates. The document then lists the technical syllabus for Oracle Apps training, outlining topics such as the Oracle application architecture, database structure, concurrent programs, reports, modules, forms, interfaces, conversions, flex fields, and XML Publisher.
Informatica Training | Informatica PowerCenter | Informatica Tutorial | Edureka
Informatica Training | Informatica PowerCenter | Informatica Tutorial | EdurekaEdureka! This Edureka Informatica Training tutorial will help you in understanding the various components of Informatica PowerCenter in detail with examples. You will be given a detailed understanding of Informatica PowerCenter architecture and ETL process. You will also understand the role of these tools in various phases to solve a use case. Below are the topics covered in this tutorial:
1) Informatica PowerCenter Overview
2) Informatica Architecture overview
3) ETL Process
4) Informatica PowerCenter Designer
5) Informatica PowerCenter Workflow Manger
6) Informatica PowerCenter Workflow Monitor
Intro to Delta Lake
Intro to Delta LakeDatabricks Delta Lake brings reliability, performance, and security to data lakes. It provides ACID transactions, schema enforcement, and unified handling of batch and streaming data to make data lakes more reliable. Delta Lake also features lightning fast query performance through its optimized Delta Engine. It enables security and compliance at scale through access controls and versioning of data. Delta Lake further offers an open approach and avoids vendor lock-in by using open formats like Parquet that can integrate with various ecosystems.
Data warehouse
Data warehouseRamkrishna bhagat Data warehousing involves collecting data from different sources and organizing it in a way that allows for analysis to make business decisions. It provides a single, complete view of data that end users can easily understand. A data warehouse stores integrated data from multiple sources and provides historical views of data to support analysis. It allows organizations to access critical information to support reporting, queries and decision making. Common applications of data warehousing include banking, healthcare, airlines and telecommunications.
Informatica slides
Informatica slidessureshpaladi12 The document provides an overview of the Informatica PowerCenter 7.1 product, describing its major components for ETL development, how to build basic mappings and workflows, and available options for loading target data. It also outlines the course objectives to understand PowerCenter architecture and components, build mappings and workflows, and troubleshoot common problems. Resources available from Informatica like documentation, support, and certification programs are also summarized.
The delta architecture
The delta architecturePrakash Chockalingam Lambda architecture is a popular technique where records are processed by a batch system and streaming system in parallel. The results are then combined during query time to provide a complete answer. Strict latency requirements to process old and recently generated events made this architecture popular. The key downside to this architecture is the development and operational overhead of managing two different systems.
There have been attempts to unify batch and streaming into a single system in the past. Organizations have not been that successful though in those attempts. But, with the advent of Delta Lake, we are seeing lot of engineers adopting a simple continuous data flow model to process data as it arrives. We call this architecture, The Delta Architecture.
Snowflake Datawarehouse Architecturing
Snowflake Datawarehouse ArchitecturingIshan Bhawantha Hewanayake Introduction to Snowflake Datawarehouse and Architecture for Big data company. Centralized data management. Snowpipe and Copy into a command for data loading. Stream loading and Batch Processing.
Data & analytics challenges in a microservice architecture
Data & analytics challenges in a microservice architectureNiels Naglé DataSaturday 2019 session:
Domain driven design, microservices, event-driven, polyglot data storage. All popular developments within software architecture to realize modular and ultra-scalable solutions. But what is the impact on the Data & Analytics side? So how to contain a global vision on the data and processes when every service contains their own logic, data and enrichments? which data is leading? How to avoid conflicts? So what do these architectures mean for Data & Analytics.
Data Catalog for Better Data Discovery and Governance
Data Catalog for Better Data Discovery and GovernanceDenodo Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
Elastic Stack Introduction
Elastic Stack IntroductionVikram Shinde Getting Started with Elastic Stack.
Detailed blog for the same
http://vikshinde.blogspot.co.uk/2017/08/elastic-stack-introduction.html
Informatica Products and Usage
Informatica Products and UsageBigClasses Com Informatica products and usage, informatica developer,informatica analyst,informatica powerexchange,informatica powercenter,informatica data quality,master data management,data masking,data visualization,informatica products list
Informatica interview questions
Informatica interview questionsmarukonda This document contains interview questions about Informatica transformations and concepts. Some key points include:
- Transformations like Filter, Joiner, Aggregator, Lookup are discussed along with their properties and usage.
- The differences between various transformations like Source Qualifier, Filter, Router, and types of joins are explained.
- Performance tuning techniques for transformations like Joiner are provided.
- Mapping concepts like parameters, variables, reusable transformations are covered.
- Lookup transformations and cache types are described.
Introduction to snowflake
Introduction to snowflakeSunil Gurav Snowflake is an analytic data warehouse provided as software-as-a-service (SaaS). It uses a unique architecture designed for the cloud, with a shared-disk database and shared-nothing architecture. Snowflake's architecture consists of three layers - the database layer, query processing layer, and cloud services layer - which are deployed and managed entirely on cloud platforms like AWS and Azure. Snowflake offers different editions like Standard, Premier, Enterprise, and Enterprise for Sensitive Data that provide additional features, support, and security capabilities.
Talend Components | tMap, tJoin, tFileList, tInputFileDelimited | Talend Onli...
Talend Components | tMap, tJoin, tFileList, tInputFileDelimited | Talend Onli...Edureka! ***** Talend Training: https://www.edureka.co/talend-for-big-data *****
This Edureka tutorial on Talend Components will demonstrate the usage of few of the majorly used components in Talend like tMap, tJoin, tFileInputDelimited, tMysqlRow etc.This video helps you to learn the following topics:
1. What is Talend?
2. Talend Component Families
3. Talend File Components
4. Talend Processing Components
5. Talend Database Components
ETL Made Easy with Azure Data Factory and Azure Databricks
ETL Made Easy with Azure Data Factory and Azure DatabricksDatabricks This document summarizes Mark Kromer's presentation on using Azure Data Factory and Azure Databricks for ETL. It discusses using ADF for nightly data loads, slowly changing dimensions, and loading star schemas into data warehouses. It also covers using ADF for data science scenarios with data lakes. The presentation describes ADF mapping data flows for code-free data transformations at scale in the cloud without needing expertise in Spark, Scala, Python or Java. It highlights how mapping data flows allow users to focus on business logic and data transformations through an expression language and provides debugging and monitoring of data flows.
Building Modern Data Platform with Microsoft Azure
Building Modern Data Platform with Microsoft AzureDmitry Anoshin This document provides an overview of building a modern cloud analytics solution using Microsoft Azure. It discusses the role of analytics, a history of cloud computing, and a data warehouse modernization project. Key challenges covered include lack of notifications, logging, self-service BI, and integrating streaming data. The document proposes solutions to these challenges using Azure services like Data Factory, Kafka, Databricks, and SQL Data Warehouse. It also discusses alternative implementations using tools like Matillion ETL and Snowflake.
SAP Data Services
SAP Data ServicesGeetika SAP Data Services is a data integration and transformation software application. It also supports changed-data capture (CDC), which is an important capability for providing input data to both data-warehousing and stream-processing systems.
It is an ETL tool which gives a single enterprises level solution for data integration, Transformation, Data quality, Data profiling and text data processing from the heterogeneous source into a target database or data warehouse.
Viewers also liked (20)
Informatica Powercenter Architecture
Informatica Powercenter ArchitectureBigClasses Com Watch Tutorial On Informatica Powercenter Architecture with video,informatica powercenter architecture diagram,informatica powercenter architecture over view,informatica powercenter architecture 8 diagram,informatica powercenter 9.5 architecture,informatica powercenter architecture ppt
01 power center 8.6 basics
01 power center 8.6 basicsuthayan87 This document provides an overview of an Informatica PowerCenter 8.6 Basics Training Course. The training course will cover understanding PowerCenter components, performing basic administration tasks, building basic mappings and mapplets, understanding transformations and loading target data, and troubleshooting common issues. It will also cover ETL concepts, the PowerCenter architecture, connecting components, extracting and transforming source data, loading to targets, and transformation concepts like types, views, functions, and basic transformations.
Three magazine front covers. 
Three magazine front covers. sarahchapman92 The document summarizes and analyzes aspects of the covers of three magazines - NME Magazine, BLENDER Magazine, and Kerrang! Magazine. For NME, it notes the simple cover with few lines highlighting Lilly Allen. For BLENDER, it discusses Fergie using sexuality to sell the magazine in black underwear. And for Kerrang!, it observes the rock genre implied by the black and red colors, two pictures partially covering the masthead, and the 100 cover line standing out on a dark background.
Evaluation qu. 1
Evaluation qu. 1Christina Worby The document discusses the production of a music video for the song "Skeletons & Spirits" by Allison Crowe. In creating the video, the producer drew inspiration from Tim Burton's style and movies like Nightmare Before Christmas. Storyboards were created during pre-production that told a story matching the lyrics through animated characters in Burton's quirky style. Unlike Andrew Goodwin's conventions, the final video did not include the artist and was fully animated rather than including live-action footage.
Mikro Sembelihan
Mikro SembelihanStar99 Dokumen ini membahas tentang sembelihan binatang menurut Islam. Sembelihan adalah menghilangkan nyawa binatang halal dengan benda tajam untuk dimakan. Semua binatang halal harus disembelih kecuali ikan dan belalang. Sembelihan wajib kecuali untuk ikan dan belalang, dan ada syarat-syarat sah seperti putusnya urat pernafasan dan makanan.
Photoshoot Presentation
Photoshoot PresentationChristina Worby The document outlines photo shoot designs for a gothic band's album. The front cover will feature the lead singer sitting and looking up with clasped hands beneath his chin, taking a high and threatening pose. Interior pages will show screenshots of music platforms and the model striking gothic and threatening poses in front of backdrops. Double page spreads will depict the model sitting in a chair with relaxed or threatening expressions, with some images in black and white or sepia and smaller than the main close-up image of the model with dominating gothic makeup and stance.
Meiert avis presentation
Meiert avis presentationChristina Worby Meiert Avis is an Irish music video and film director who has been working since 1980. He is known for directing music videos for major artists like Bob Dylan, Bruce Springsteen, U2, and Jennifer Lopez. He also directs commercials for companies such as Lexus, Toyota, and Adidas. Avis' music video style typically uses narrative elements and involves the artist. He employs techniques like fade ins/outs, close-ups, and animations. Some examples that demonstrate his style are the videos for Flyleaf's "Again" and Paramore's "Brick by Boring Brick".
Music Industry -UMG
Music Industry -UMGChristina Worby Universal Music Group (UMG) is a major music label that owns and distributes music from various artists. UMG uses a variety of marketing techniques like YouTube channels and music festivals to promote its artists. The rise of digital music distribution through iTunes and streaming services has benefited UMG by providing new ways to distribute music, but has also harmed CD sales. UMG adapts to changing media technologies to find new artists and reach music fans.
P2P And Web 2.0 Creative Commons
P2P And Web 2.0 Creative CommonsPablomp2p A brief walk on what will happen when P2P meets Social Web, and how Creative Commons licenses will be affected.
Mhm strategy for national council meeting 97 2003 version
Mhm strategy for national council meeting 97 2003 versionMissio This document outlines a new strategy to improve fundraising efforts for APF-Mill Hill through regular parish appeals and ongoing mission animation. Key elements include redefining the role of diocesan organizers, recruiting additional appealers and administrators, developing a coordinated volunteer recruitment campaign, and satisfying the goal of conducting an appeal in every parish every 5 years. If successful, the strategy aims to increase the number of annual appeals by 100 and raise donation levels through greater support for and awareness of the mission.
Notes on visual representation
Notes on visual representationBrock Craft Some notes regarding the representation of information. London College of Communication, MSc Information Environments
SAP BusinessObjects Web Intelligence Report
SAP BusinessObjects Web Intelligence ReportBigClasses Com Watch Here SAP BusinessObjects Web Intelligence Report
and with Video tutorial ,Learn SAP BusinessObjects Web Intelligence Report and how to use.
My Screen Shot Presentation.
My Screen Shot Presentation.sarahchapman92 The document describes the process of designing the front cover and contents page for a winter magazine. Key steps included choosing a pattern background and purple color scheme for the cover, adding a title with a purple overlay in a basic font, and including additional design elements like a star shape, barcode, and cover lines. For the contents page, the same background and consistent color scheme was used, along with snowflake graphics, section titles in Papyrus font, and photos cut out using the magic lasso tool.
SAP BusinessObjects Dashboards
SAP BusinessObjects DashboardsBigClasses Com Learn how to create interactive sap businessobjects dashboards. sap bo dashboards charts, graphs, and buttons.SAP Crystal (BusinessObjects Xcelsius) dashboards.
Watch SAP BO Dashboards video
Why Informatica
Why InformaticaBigClasses Com The document discusses Informatica and provides an overview of its benefits and uses. It also outlines some common job roles in Informatica, example projects, prerequisites, and the modules covered in an Informatica training course, including data warehousing concepts, administration concepts, and developer concepts.
presentation
presentationpremvardhan1986 - The document provides tips for creating effective PowerPoint slides, including using outlines, limiting text per slide, font size and type, color, backgrounds, graphs, and proofreading.
- Key recommendations are to use bullet points instead of paragraphs, 18pt font or larger, high contrast colors, simple backgrounds, properly formatted graphs, and checking for spelling and grammar errors.
- The conclusion recommends ending with a slide summarizing main points and inviting questions.
Income Tax Defense
Income Tax Defenseguest29ef4a Q. Would it be worthwhile to you to have a team of Tax Attorneys and CPAs review your tax return for errors and additional refund money?
Chances are your return has errors on it
Mystery of light trasnfiguration
Mystery of light trasnfigurationMissio The document discusses the Catholic tradition of praying the rosary during the month of October. It describes one of the mysteries of light, the Transfiguration of Jesus, and includes the prayers said during each decade of the rosary, including repetitions of the Hail Mary prayer focusing on events in the life of Jesus and praising Mary.
Ad
Similar to What is Informatica Powercenter (20)
Informatica_ Basics_Demo_9.6.ppt
Informatica_ Basics_Demo_9.6.pptCarlCj1 The document provides an overview of business intelligence (BI) and data integration concepts. It defines BI as transforming data into useful information and knowledge to enhance decision-making. Key components discussed include data integration tools like Informatica and Cognos that extract, transform, and load (ETL) data from various sources into a centralized data warehouse for reporting and analysis. The document also examines the ETL process and transformations used to cleanse and integrate data from different sources.
Informatica Interview Questions & Answers
Informatica Interview Questions & AnswersZaranTech LLC 50-55 hours Training + Assignments + Actual Project Based Case Studies
All attendees will receive,
Assignment after each module, Video recording of every session
Notes and study material for examples covered.
Access to the Training Blog & Repository of Materials
Datawarehousing & DSS
Datawarehousing & DSSDeepali Raut The document discusses various concepts related to database design and data warehousing. It describes how DBMS minimize problems like data redundancy, isolation, and inconsistency through techniques like normalization, indexing, and using data dictionaries. It then discusses data warehousing concepts like the need for data warehouses, their key characteristics of being subject-oriented, integrated, and time-variant. Common data warehouse architectures and components like the ETL process, OLAP, and decision support systems are also summarized.
UNIT 2 DATA WAREHOUSING AND DATA MINING PRESENTATION.pptx
UNIT 2 DATA WAREHOUSING AND DATA MINING PRESENTATION.pptxshruthisweety4 The document discusses data warehousing and data warehouse architectures. It defines a data warehouse as a system that aggregates data from different sources into a consistent data store to support analysis and machine learning on huge volumes of historical data. It describes three common types of data warehouses and characteristics like being subject-oriented, integrated, and time-variant. It then outlines common data warehouse architectures including single tier, two tier, and three tier architectures and discusses components like the source layer, data staging, data warehouse layer, and analysis layer. Finally, it discusses properties of data warehouse architectures like separation of analytical and transactional processing and scalability.
Data warehousing
Data warehousingfactscomputersoftware A Data Warehouse can be defined as a centralized, consistent data store or Decision Support System (OLAP), for the end business users for analysis, prediction and decision making in their business operations. Data from various enterprise-wide application/transactional source systems (OLTP), are extracted, cleansed, integrated, transformed and loaded in the Data Warehouse.
What is a Data Warehouse and How Do I Test It?
What is a Data Warehouse and How Do I Test It?RTTS ETL Testing: A primer for Testers on Data Warehouses, ETL, Business Intelligence and how to test them.
Are you hearing and reading about Big Data, Enterprise Data Warehouses (EDW), the ETL Process and Business Intelligence (BI)? The software markets for EDW and BI are quickly approaching $22 billion, according to Gartner, and Big Data is growing at an exponential pace.
Are you being tasked to test these environments or would you like to learn about them and be prepared for when you are asked to test them?
RTTS, the Software Quality Experts, provided this groundbreaking webinar, based upon our many years of experience in providing software quality solutions for more than 400 companies.
You will learn the answer to the following questions:
• What is Big Data and what does it mean to me?
• What are the business reasons for a building a Data Warehouse and for using Business Intelligence software?
• How do Data Warehouses, Business Intelligence tools and ETL work from a technical perspective?
• Who are the primary players in this software space?
• How do I test these environments?
• What tools should I use?
This slide deck is geared towards:
QA Testers
Data Architects
Business Analysts
ETL Developers
Operations Teams
Project Managers
...and anyone else who is (a) new to the EDW space, (b) wants to be educated in the business and technical sides and (c) wants to understand how to test them.
Data Warehousing And Data Mining Presentation Transcript
Data Warehousing And Data Mining Presentation TranscriptSUBODH009 Data warehousing combines data from multiple sources into a centralized database to provide businesses with analytics. It involves extracting, transforming, and loading data from various operational systems into a data warehouse for analysis. Data mining is the process of analyzing large datasets to discover hidden patterns and relationships to derive useful information. It has various applications in fields like engineering, medicine, business, and research.
Data warehousing
Data warehousingJuhi Mahajan This document provides an overview of key concepts related to data warehousing including what a data warehouse is, common data warehouse architectures, types of data warehouses, and dimensional modeling techniques. It defines key terms like facts, dimensions, star schemas, and snowflake schemas and provides examples of each. It also discusses business intelligence tools that can analyze and extract insights from data warehouses.
OLTP vs OLAP
OLTP vs OLAPBI_Solutions OLTP systems are used for operational tasks like processing transactions, while OLAP systems are used for analysis of historical data extracted from OLTP systems. OLAP systems allow for complex queries and reporting on aggregated and multidimensional views of the data. Both systems are complementary, with OLTP housing and processing the source transactional data and OLAP leveraging that data for planning, problem solving, and decision making.
ETL processes , Datawarehouse and Datamarts.pptx
ETL processes , Datawarehouse and Datamarts.pptxParnalSatle The document discusses ETL processes, data warehousing, and data marts. It defines ETL as extracting data from source systems, transforming it, and loading it into a data warehouse. Data warehouses integrate data from multiple sources to support business intelligence and analytics. Data marts are focused subsets of data warehouses that serve specific business functions or departments. The document outlines the key components and architecture of data warehousing systems, including source data, data staging, data storage in warehouses and marts, and analytical applications.
DATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MININGLovely Professional University Data warehousing combines data from multiple sources into a single database to provide businesses with analytics results from data mining, OLAP, scorecarding and reporting. It addresses the need to gather, analyze, understand and act on information from various sources. Data warehousing includes extracting, transforming and loading data from operational data stores and data marts into a data warehouse staging area and data warehouse to integrate corporate data at a deep level of detail. Data mining is the non-trivial extraction of implicit and previously unknown information from large databases to improve processes through classification, estimation and prediction.
DATA WAREHOUSING AND DATA MINING
DATA WAREHOUSING AND DATA MININGLovely Professional University Data warehousing combines data from multiple sources into a single database to provide businesses with analytics results from data mining, OLAP, scorecarding and reporting. It extracts, transforms and loads data from operational data stores and data marts into a data warehouse and staging area to integrate and store large amounts of corporate data. Data mining analyzes large databases to extract previously unknown and potentially useful patterns and relationships to improve business processes.
Exadata experiences: discussion 
Exadata experiences: discussion Rolta The document summarizes an expert panel discussion on Oracle Exadata. It provides background on Exadata's history starting in 2008. It discusses Gartner and Forrester research reports that found Exadata achieved significant adoption and customers reported large performance improvements. The document also outlines Oracle's goals to triple Exadata installations and that over 1,000 Exadatas are currently installed supporting a variety of workloads. It concludes with introductions to the panelists.
Proexcellency informatica power center online training
Proexcellency informatica power center online trainingCosmic5 Informatica PowerCenter is an ETL tool used to extract, transform, and load data from sources. We can build enterprise data warehouses with the help of the Informatica PowerCenter. The Informatica PowerCenter produces the Informatica Crop. The Informatica PowerCenter extracts data from its source, transforms it according to requirement, and loads it into a target data warehouse. The main components of Informatica PowerCenter are its client tools, server, repository, and repository server. The PowerCenter server and the repository server make up the ETL layer, which is used to complete the ETL processing.
Proexcellency informatica power center online training
Proexcellency informatica power center online trainingRahul994570 Informatica PowerCenter is an ETL tool used to extract, transform, and load data from sources. We can build enterprise data warehouses with the help of the Informatica PowerCenter. The Informatica PowerCenter produces the Informatica Crop. The Informatica PowerCenter extracts data from its source, transforms it according to requirement, and loads it into a target data warehouse. The main components of Informatica PowerCenter are its client tools, server, repository, and repository server. The PowerCenter server and the repository server make up the ETL layer, which is used to complete the ETL processing.
DataWarehousingandAbInitioConcepts.ppt
DataWarehousingandAbInitioConcepts.pptPurnenduMaity2 The document provides an introduction to Ab Initio, an ETL tool. It discusses the history and meaning of Ab Initio, and describes the key components of Ab Initio including the Co>Operating System, Component Library, and Graphical Development Environment. It also covers data warehouse concepts such as the ETL process, star schemas, and data marts that are relevant for understanding how Ab Initio is used.
Informatica overview
Informatica overviewSwetha Naveen This document provides an overview of data warehousing and ETL concepts like OLTP vs OLAP, data warehouse architecture, and Informatica PowerCenter. It defines key terms, describes why organizations implement data warehouses to help with analytics and decision making, and outlines the typical layers of a data warehouse including the ETL process. The document also provides high-level information on Informatica PowerCenter's architecture and functionality for automating ETL jobs, and discusses some common errors and Unix commands for monitoring and managing Informatica services.
Seems MPPs (b)eat Hardware Strict DBs (Teradata/Greenplum) ?
Seems MPPs (b)eat Hardware Strict DBs (Teradata/Greenplum) ?ShivrajBiradar This document compares Oracle Exadata and Netezza TwinFin appliances for data warehousing. It begins by noting that Netezza focuses exclusively on data warehousing needs while Oracle adapted its OLTP database for Exadata. The document then discusses key differences between online transaction processing (OLTP) and data warehousing workloads. Specifically, it notes that OLTP involves many short reads and writes of small records, while data warehousing focuses on large analytic queries across huge datasets. It also distinguishes between first-generation overnight data warehouses and newer second-generation warehouses that support constant updates and advanced analytics.
A Comparitive Study Of ETL Tools
A Comparitive Study Of ETL ToolsRhonda Cetnar This document provides a comparative study of various ETL (Extraction, Transformation, Loading) tools. It first discusses the ETL process and concepts. It then reviews some popular ETL tools, including Pentaho Data Integration, Talend Open Studio, Informatica Power Center, Oracle Warehouse Builder, IBM Information Server, and Microsoft SQL Server Integration Services. The document establishes criteria for comparing ETL tools, such as architecture, functionality, usability, reusability, connectivity, and interoperability. It then provides a comparative analysis and graphs ranking the tools based on their support for each criteria. The analysis finds that Informatica Power Center and Oracle Warehouse Builder provide strong architectural support, while Informatica and SQL Server Integration Services
Business Analytics System
Business Analytics SystemMahesh Patwardhan A Business Analytics solution implementation which is a Web-based decision support solution which collates data from various sources, performs the analysis required on the data which is then presented in a customised format to the end users.
Ad
More from BigClasses Com (20)
SAP BW Powered by SAP HANA
SAP BW Powered by SAP HANABigClasses Com learn sap bw powered by sap hana introduction & what is sap bw on hana,benefits & drawbacks of BW on HANA,Features,Who can learn SAP BW on HANA
Why Java Professionals Should Learn Hadoop
Why Java Professionals Should Learn HadoopBigClasses Com Why java professionals should learn hadoop. Reasons to learn hadoop,job roles with hadoop,domains looking for hadoop developer,job responsibilities of hadoop,skills requires for hadoop,hadoop trends,java trends
Hadoop course content
Hadoop course contentBigClasses Com This document outlines the content of a course on BIG DATA & HADOOP. The course is intended for developers and data warehouse professionals and will provide both lectures and hands-on experience working with Hadoop. It will cover key concepts like HDFS, MapReduce, YARN, and popular Hadoop ecosystems including Hive, Pig, HBase, Spark, and Impala. Lectures will be complemented by assignments and exercises working directly in a local virtual Hadoop cluster to gain experience administering, configuring, and troubleshooting Hadoop systems.
Why Hadoop and benefits 
Why Hadoop and benefits BigClasses Com Why HADOOP ?
Oen-Source Implementaion Software
Massive Storage
Processing Large Amounts of Data
Fast Results
Fastest Growing Technology
Better Managemant & Analytical Applications
Simple Frame Work
Benefits of HADOOP
Quick Data Processing
Friendly Database
Low Cost
Scalability
More Data Leads to Better Insights
capturing and storing of data from every touch point in an organization
Scalable Map- MapReduce NextGeneration
Pluggable Shuffle and Pluggable Sort
Capacity Scheduler and Fair Scheduler
Hadoop Distributed File System (HDFS) snapshots
Distributed job life cycle management
Security Improvements
REST interface for communication
Universal jar
Memory and I/O efficient
Cascading support
Microstrategy Mobile
Microstrategy MobileBigClasses Com MicroStrategy Mobile allows organizations to build a variety of essential mobile apps that deliver workflows, transactions, mobile operations systems access, multimedia, and business intelligence in compelling custom native apps. It brings capabilities around performance, scalability, security, internationalization, and monitoring to enterprise apps on day one. MicroStrategy Usher replaces traditional forms of ID with a secure mobile digital "badge" making authentication convenient, seamless, and secure across the entire enterprise.
Microstrategy Administration
Microstrategy AdministrationBigClasses Com microstrategy administration guide,microstrategy administration configuration and security,microstrategy administration guide 9.4.1,microstrategy system administration guide download,microstrategy system administration guide 9.3,microstrategy administratation configuration and security,microstrategy administrator authentication,mstr administration
Microstrategy Architect and Developer
Microstrategy Architect and DeveloperBigClasses Com Microstrategy architect,microstrategy developer,microstrategy architect pdf,microstrategy developer,microstrategy developer zone,microstrategy developer tutorial,microstrategy developer roles & responsibilities
Microstrategy Architecture
Microstrategy ArchitectureBigClasses Com Watch Microstrategy Architecutr with a Free tutorial video,microstrategy architecture,microstrategy architecture overview,microstrategy architecture tutorial ,microstrategy olap analysis,
Where is microstrategy used and job trends
Where is microstrategy used and job trendsBigClasses Com Where is microstrategy used,microstrategy job trends,using microstrategy business intelligence,why we use microstrategy,microstrategy visual dashboard,microstrategy easy to use,microstrategy supports interactive dashboards
Why MicroStrategy
Why MicroStrategyBigClasses Com Why Microstrategy and why learn microstrategy training ,Business Analytics with Microstrategy,Microstrategy Business Intelligence, Why we are using Microstrategy,microstrategy business intelligence software
Teradata Training Course Content
Teradata Training Course ContentBigClasses Com This document outlines an 8-session training course on Teradata that covers topics such as the Teradata architecture and logical design, space management, data distribution, indexing, SQL functions, join strategies, utilities, best practices, and includes hands-on exercises and a case study. The total training duration is 20 hours.
Teradata Architecture 
Teradata Architecture BigClasses Com teradata architecture,teradata architecture ppt,teradata architecture diagram,teradata reference architecture,teradata architecture tutorial,teradata architecture training,teradata technical architecture,Terdata Unified Data Architecture
Introduction to Teradata And How Teradata Works
Introduction to Teradata And How Teradata WorksBigClasses Com Watch How Teradata works with Introduction to teradata ,How Teradata Visual Explain Works,teradata database and tools,teradata database model,teradata hardware and software architecture,teradata database security,teradata storage based on primary index
SAP Business Objects BI Architecture
SAP Business Objects BI ArchitectureBigClasses Com Learn SAP BusinessObjects BI platform 4.1 Architecture with a neat diagram and overview, And also watch sap bo architecture business intelligence Architecture video tutorial
SAP Business Objects Administration 
SAP Business Objects Administration BigClasses Com Learn SAP Business Objects Administration With a FREE Tutorial Demo Video ,SAP BO Administrator is easily deploy the BI Standard Implementations
SAP BusinessObjects BI LaunchPad
SAP BusinessObjects BI LaunchPadBigClasses Com Watch Full Tutorial On SAP BusinessObjects BI Launch Pad,SAP BI Launch pad is a standard web Application easy to access the Crystal reports & Web Intelligence Docs
SAP BusinessObjects Crystal Reports
SAP BusinessObjects Crystal ReportsBigClasses Com Learn How SAP BO Crystal Reports Accessing Off-line and Online From Your Portal ,Applications and Devices. Crystal Reports help to create flexible and powerful reports .watch video tutorial
SAP Business Objects Universe Designer & Introduction to Business Intelligenc...
SAP Business Objects Universe Designer & Introduction to Business Intelligenc...BigClasses Com Universe is a middle layer between the database and reports that includes only required table structures to avoid burdening the database. It can generate multiple reports from a single universe. Changes to the database will impact the universe and reports, while changes to the universe only impact reports, not the database. The new release of SAP Business Objects BI 4.0 introduces native connectivity to SAP BW and SAP HANA via BICS connections for Web Intelligence reporting.
Apache hadoop hue overview and introduction
Apache hadoop hue overview and introductionBigClasses Com Apache Hadoop Hue view form,Apache Hadoop Hue eco system,Apache Hadoop Hue data analysis,Apache Hadoop Hue file browser,Apache Hadoop Hue user,Apache Hadoop Hue query editor,Apache Hadoop Hue table creation,Apache Hadoop Hue job browser,Apache Hadoop Hue job designer,Apache Hadoop Hue dashboard,Apache Hadoop Hue workfolw manager,Apache Hadoop Hue integration shell
Apache hadoop pig overview and introduction
Apache hadoop pig overview and introductionBigClasses Com Apache hadoop pig architecture,Apache hadoop pig eco system components,Apache hadoop pig framework,Apache hadoop pig data processing,Apache hadoop pig script creation,Apache hadoop pig features,Apache hadoop pig sample script,Apache hadoop pig first script,Apache hadoop pig example scripts,Apache hadoop pig advanced scripts,Apache hadoop pig functions,Apache hadoop pig storage,Apache hadoop pig interfaces and connectors
Recently uploaded (20)
apa-style-referencing-visual-guide-2025.pdf
apa-style-referencing-visual-guide-2025.pdfIshika Ghosh Title: A Quick and Illustrated Guide to APA Style Referencing (7th Edition)
This visual and beginner-friendly guide simplifies the APA referencing style (7th edition) for academic writing. Designed especially for commerce students and research beginners, it includes:
✅ Real examples from original research papers
✅ Color-coded diagrams for clarity
✅ Key rules for in-text citation and reference list formatting
✅ Free citation tools like Mendeley & Zotero explained
Whether you're writing a college assignment, dissertation, or academic article, this guide will help you cite your sources correctly, confidently, and consistent.
Created by: Prof. Ishika Ghosh,
Faculty.
📩 For queries or feedback: [email protected]
Political History of Pala dynasty Pala Rulers NEP.pptx
Political History of Pala dynasty Pala Rulers NEP.pptxArya Mahila P. G. College, Banaras Hindu University, Varanasi, India. The Pala kings were people-protectors. In fact, Gopal was elected to the throne only to end Matsya Nyaya. Bhagalpur Abhiledh states that Dharmapala imposed only fair taxes on the people. Rampala abolished the unjust taxes imposed by Bhima. The Pala rulers were lovers of learning. Vikramshila University was established by Dharmapala. He opened 50 other learning centers. A famous Buddhist scholar named Haribhadra was to be present in his court. Devpala appointed another Buddhist scholar named Veerdeva as the vice president of Nalanda Vihar. Among other scholars of this period, Sandhyakar Nandi, Chakrapani Dutta and Vajradatta are especially famous. Sandhyakar Nandi wrote the famous poem of this period 'Ramcharit'.
Multi-currency in odoo accounting and Update exchange rates automatically in ...
Multi-currency in odoo accounting and Update exchange rates automatically in ...Celine George Most business transactions use the currencies of several countries for financial operations. For global transactions, multi-currency management is essential for enabling international trade.
Niamh Lucey, Mary Dunne. Health Sciences Libraries Group (LAI). Lighting the ...
Niamh Lucey, Mary Dunne. Health Sciences Libraries Group (LAI). Lighting the ...Library Association of Ireland
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schools
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schoolsdogden2 Algebra 1 is often described as a “gateway” class, a pivotal moment that can shape the rest of a student’s K–12 education. Early access is key: successfully completing Algebra 1 in middle school allows students to complete advanced math and science coursework in high school, which research shows lead to higher wages and lower rates of unemployment in adulthood.
Learn how The Atlanta Public Schools is using their data to create a more equitable enrollment in middle school Algebra classes.
Metamorphosis: Life's Transformative Journey
Metamorphosis: Life's Transformative JourneyArshad Shaikh *Metamorphosis* is a biological process where an animal undergoes a dramatic transformation from a juvenile or larval stage to a adult stage, often involving significant changes in form and structure. This process is commonly seen in insects, amphibians, and some other animals.
How to Subscribe Newsletter From Odoo 18 Website
How to Subscribe Newsletter From Odoo 18 WebsiteCeline George Newsletter is a powerful tool that effectively manage the email marketing . It allows us to send professional looking HTML formatted emails. Under the Mailing Lists in Email Marketing we can find all the Newsletter.
To study the nervous system of insect.pptx
To study the nervous system of insect.pptxArshad Shaikh The *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responThe *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responses*: Insects can exhibit complex behaviors, such as mating, foraging, and social interactions.
Characteristics
1. *Decentralized*: Insect nervous systems have some autonomy in different body parts.
2. *Specialized*: Different parts of the nervous system are specialized for specific functions.
3. *Efficient*: Insect nervous systems are highly efficient, allowing for rapid processing and response to stimuli.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive in diverse environments.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive
Phoenix – A Collaborative Renewal of Children’s and Young People’s Services C...
Phoenix – A Collaborative Renewal of Children’s and Young People’s Services C...Library Association of Ireland
CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - Worksheet
CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - WorksheetSritoma Majumder Introduction
All the materials around us are made up of elements. These elements can be broadly divided into two major groups:
Metals
Non-Metals
Each group has its own unique physical and chemical properties. Let's understand them one by one.
Physical Properties
1. Appearance
Metals: Shiny (lustrous). Example: gold, silver, copper.
Non-metals: Dull appearance (except iodine, which is shiny).
2. Hardness
Metals: Generally hard. Example: iron.
Non-metals: Usually soft (except diamond, a form of carbon, which is very hard).
3. State
Metals: Mostly solids at room temperature (except mercury, which is a liquid).
Non-metals: Can be solids, liquids, or gases. Example: oxygen (gas), bromine (liquid), sulphur (solid).
4. Malleability
Metals: Can be hammered into thin sheets (malleable).
Non-metals: Not malleable. They break when hammered (brittle).
5. Ductility
Metals: Can be drawn into wires (ductile).
Non-metals: Not ductile.
6. Conductivity
Metals: Good conductors of heat and electricity.
Non-metals: Poor conductors (except graphite, which is a good conductor).
7. Sonorous Nature
Metals: Produce a ringing sound when struck.
Non-metals: Do not produce sound.
Chemical Properties
1. Reaction with Oxygen
Metals react with oxygen to form metal oxides.
These metal oxides are usually basic.
Non-metals react with oxygen to form non-metallic oxides.
These oxides are usually acidic.
2. Reaction with Water
Metals:
Some react vigorously (e.g., sodium).
Some react slowly (e.g., iron).
Some do not react at all (e.g., gold, silver).
Non-metals: Generally do not react with water.
3. Reaction with Acids
Metals react with acids to produce salt and hydrogen gas.
Non-metals: Do not react with acids.
4. Reaction with Bases
Some non-metals react with bases to form salts, but this is rare.
Metals generally do not react with bases directly (except amphoteric metals like aluminum and zinc).
Displacement Reaction
More reactive metals can displace less reactive metals from their salt solutions.
Uses of Metals
Iron: Making machines, tools, and buildings.
Aluminum: Used in aircraft, utensils.
Copper: Electrical wires.
Gold and Silver: Jewelry.
Zinc: Coating iron to prevent rusting (galvanization).
Uses of Non-Metals
Oxygen: Breathing.
Nitrogen: Fertilizers.
Chlorine: Water purification.
Carbon: Fuel (coal), steel-making (coke).
Iodine: Medicines.
Alloys
An alloy is a mixture of metals or a metal with a non-metal.
Alloys have improved properties like strength, resistance to rusting.
Marie Boran Special Collections Librarian Hardiman Library, University of Gal...
Marie Boran Special Collections Librarian Hardiman Library, University of Gal...Library Association of Ireland Phoenix – A Collaborative Renewal of Children’s and Young People’s Services Clare Doyle - Cork City Libraries
Quality Contril Analysis of Containers.pdf
Quality Contril Analysis of Containers.pdfDr. Bindiya Chauhan Quality control test for containers, rubber closures and secondary packing materials.
Understanding P–N Junction Semiconductors: A Beginner’s Guide
Understanding P–N Junction Semiconductors: A Beginner’s GuideGS Virdi Dive into the fundamentals of P–N junctions, the heart of every diode and semiconductor device. In this concise presentation, Dr. G.S. Virdi (Former Chief Scientist, CSIR-CEERI Pilani) covers:
What Is a P–N Junction? Learn how P-type and N-type materials join to create a diode.
Depletion Region & Biasing: See how forward and reverse bias shape the voltage–current behavior.
V–I Characteristics: Understand the curve that defines diode operation.
Real-World Uses: Discover common applications in rectifiers, signal clipping, and more.
Ideal for electronics students, hobbyists, and engineers seeking a clear, practical introduction to P–N junction semiconductors.
Introduction to Vibe Coding and Vibe Engineering
Introduction to Vibe Coding and Vibe EngineeringDamian T. Gordon Introduction to Vibe Coding and Vibe Engineering
How to Set warnings for invoicing specific customers in odoo
How to Set warnings for invoicing specific customers in odooCeline George Odoo 16 offers a powerful platform for managing sales documents and invoicing efficiently. One of its standout features is the ability to set warnings and block messages for specific customers during the invoicing process.
How to Customize Your Financial Reports & Tax Reports With Odoo 17 Accounting
How to Customize Your Financial Reports & Tax Reports With Odoo 17 AccountingCeline George The Accounting module in Odoo 17 is a complete tool designed to manage all financial aspects of a business. Odoo offers a comprehensive set of tools for generating financial and tax reports, which are crucial for managing a company's finances and ensuring compliance with tax regulations.
Biophysics Chapter 3 Methods of Studying Macromolecules.pdf
Biophysics Chapter 3 Methods of Studying Macromolecules.pdfPKLI-Institute of Nursing and Allied Health Sciences Lahore , Pakistan. This chapter provides an in-depth overview of the viscosity of macromolecules, an essential concept in biophysics and medical sciences, especially in understanding fluid behavior like blood flow in the human body.
Key concepts covered include:
✅ Definition and Types of Viscosity: Dynamic vs. Kinematic viscosity, cohesion, and adhesion.
⚙️ Methods of Measuring Viscosity:
Rotary Viscometer
Vibrational Viscometer
Falling Object Method
Capillary Viscometer
🌡️ Factors Affecting Viscosity: Temperature, composition, flow rate.
🩺 Clinical Relevance: Impact of blood viscosity in cardiovascular health.
🌊 Fluid Dynamics: Laminar vs. turbulent flow, Reynolds number.
🔬 Extension Techniques:
Chromatography (adsorption, partition, TLC, etc.)
Electrophoresis (protein/DNA separation)
Sedimentation and Centrifugation methods.
Michelle Rumley & Mairéad Mooney, Boole Library, University College Cork. Tra...
Michelle Rumley & Mairéad Mooney, Boole Library, University College Cork. Tra...Library Association of Ireland
Political History of Pala dynasty Pala Rulers NEP.pptx
Political History of Pala dynasty Pala Rulers NEP.pptxArya Mahila P. G. College, Banaras Hindu University, Varanasi, India.
Niamh Lucey, Mary Dunne. Health Sciences Libraries Group (LAI). Lighting the ...
Niamh Lucey, Mary Dunne. Health Sciences Libraries Group (LAI). Lighting the ...Library Association of Ireland
Phoenix – A Collaborative Renewal of Children’s and Young People’s Services C...
Phoenix – A Collaborative Renewal of Children’s and Young People’s Services C...Library Association of Ireland
Marie Boran Special Collections Librarian Hardiman Library, University of Gal...
Marie Boran Special Collections Librarian Hardiman Library, University of Gal...Library Association of Ireland
Biophysics Chapter 3 Methods of Studying Macromolecules.pdf
Biophysics Chapter 3 Methods of Studying Macromolecules.pdfPKLI-Institute of Nursing and Allied Health Sciences Lahore , Pakistan.
Michelle Rumley & Mairéad Mooney, Boole Library, University College Cork. Tra...
Michelle Rumley & Mairéad Mooney, Boole Library, University College Cork. Tra...Library Association of Ireland
What is Informatica Powercenter
- 1. What is Informatica Powercenter ?
- 3. OLTP SYSTEM Operational data is the data you use to run your business.This data is what is typically stored, retrieved, and updated by your OnlineTransactional Processing (OLTP) system. An OLTP system may be, for example, a reservations system, an accounting application, or an order entry application. OLAP SYSTEM Informational data is created from the wealth of operational data that exists in your business and some external data useful to analyze your business. Informational data is what makes up a data warehouse.
- 4. Informatica PowerCenter is one of the Enterprise Data Integration products developed by Informatica Corporation. Informatica PowerCenter is an ETL tool used for extracting data from the source, transforming and loading data in to the target. •The Extraction part involves understanding, analyzing and cleaning of the source data. •Transformation part involves cleaning of the data more precisely and modifying the data as per the business requirements. • Loading part involves assigning the dimensional keys and loading into the warehouse. • ETL Process in Informatica Powercenter is called as Mapping WHAT IS INFORMATICA POWERCENTER ?
- 6. DifferentVersions Version Release Date 6.x September 2002 7.x March 2004 8.1.x May 2006 8.5.x October 2007 8.6.x June 2008 9.0.x 9.1 9.5.x 9.6 December 2009 March 2011 June 2012 Feb 2014
- 7. Learn Informatica Contact: USA: +1 732 325 1626 India: +91 800 811 4040 Mail: [email protected] /bigclasses /bigclasses /bigclasses http://bigclasses.com/informatica-online-training.html
- 8. Watch Informatica DEMOVideos OnYouTube www.youtube.com/user/bigclassescom