Data stage docx
0 likes213 views
About us BISP is an IT Training and Consulting Company. We are Subject Matter Experts for DHW and BI technologies. We provide Live virtual Online global IT support and services like online software training, live virtual online lab services, virtual online job support with highly intellectual professional trainers and skilled resources , predominantly In Oracle BI, Oracle Data Integrator, Hyperion Product stack, Oracle Middleware solution, Oracle SoA, AIA Informatica, IBM Datastage and IBM Cognos . BISP has footprints virtually across USA, CANADA, UK, SINGAPORE, SAUDI ARABIA, AUSTRALIA and more by providing live virtual support services from India for fresh graduates, opt students, working professionals etc. Being a live virtual online training the support , training and service methodology is just click away considerably reducing your TIME,INFRASTRUCTURE and Cost effective.
1 of 2
Download to read offline
Ad
Recommended
Ibm data stage implementing etl solution using ibm datastage
Ibm data stage implementing etl solution using ibm datastagebispsolutions This 30-hour online course covers implementing extract, transform, and load (ETL) solutions using IBM DataStage. Students will learn ETL fundamentals and techniques like data transformation rules, data quality checks, and basic and advanced business rules. The course focuses on hands-on case studies and problem-solving models to teach real-world ETL optimization strategies and data loading approaches. Students receive a guide, lab guide, and case studies to apply the skills learned processing, debugging, and managing data pipelines in DataStage.
Online Datastage training
Online Datastage trainingchpriyaa1 DataStage Online Training, Job Oriented Data Stage Training Classes by Real Time Expert for India, USA, Canada, UK, Japan, Singapore , Hyderabad, Bangalore, Pune @ +91 7680813158
Mule database connector
Mule database connectorD.Rajesh Kumar The Database connector allows connecting to relational databases using JDBC and performing SQL operations like select, insert, update, delete, and stored procedures. It supports predefined and dynamic queries, templates, and bulk updates. DataSense uses query metadata to extract message data types for mapping. The DataMapper transformer can automatically map fields when used with a DataSense-enabled Database connector. Supported operations include select, insert, update, delete, stored procedures, bulk execute, and DDL. Configuration requires a Database connector, global connector, and installed driver.
ReactJS
ReactJSRam Murat Sharma This document provides an overview of React including: key features like components, JSX, and unidirectional data flow; installation and technical requirements; the component lifecycle; differences from Angular; popular companies using React; and links to examples. It covers React concepts like states, props, and events. Questions from attendees are invited at the end.
Hadoop admin online training
Hadoop admin online trainingonline trainings expert About online training expert trainers
Online trainings expert prides itself on ensuring that our online trainers are real time experts.only the online training company deliver online training programs to our valued candidates.
As part of online trainings expert continuous improvement in online trainings. Each trainer is regularly assessed to candidates given the best quality of training every time.
All our trainers are skilled trainers and addition have the real time experience with proven track record in online trainings. This experience qualifies them as a specialist in their online training delivery in their course.
Intro to Database Design
Intro to Database DesignSondra Willhite No matches found
What is C A on DOB = Appt Date?
Clients Appointments
Joins
Service Appt Date
Nails 5/1/2013
Hair 7/5/2013
Hair 9/1/2013
Name Phone Address DOB
Anna 215-123-4567 123 City
Lane
8/14/1995
Nathan 267-333-4444 999 Oak
Blvd
6/1/1998
What is C A on DOB = Appt Date ?
Clients Appointments
second iteration: find every appointment with an Appt Date of 6/1/1998
Joins
Service Appt Date
Nails 5/1/2013
Parallel processing in data warehousing and big data
Parallel processing in data warehousing and big dataAbhishek Sharma A database is optimized for transactional processing like writes, while a data warehouse is optimized for analytical queries on historical data from multiple sources. A data warehouse contains transformed and aggregated data structured for analysis. It partitions analytical and operational tasks to improve performance and limit locking during data updates. Parallel processing in a data warehouse distributes queries across multiple CPUs to enable faster and more flexible reporting and business intelligence.
Dbm 380 Motivated Minds/newtonhelp.com
Dbm 380 Motivated Minds/newtonhelp.comamaranthbeg56 This document contains instructions and summaries for assignments in the DBM 380 course. It includes assignments related to database recommendations, normalized database design, creating and populating databases, querying and updating related tables, and assuming the role of a database administrator. The course also includes weekly discussion questions and individual/team assignments involving database concepts.
Graduate Project Summary
Graduate Project SummaryJustAnotherAbstraction This document presents the design and implementation of MySQL/JVM, a framework for embedding the Java Virtual Machine (JVM) runtime environment into the MySQL database server. This allows stored procedures and functions in MySQL to be written in the Java programming language, leveraging Java's robust libraries. Currently, MySQL only supports a basic procedural language for stored procedures. MySQL/JVM aims to address this limitation and enable functionality like XML validation and encryption that are difficult to implement in MySQL's native language.
Mule database-connectors
Mule database-connectorsPhaniu This document summarizes various database connectors available through Anypoint Platform from MuleSoft. It lists connectors for Oracle Database, MySQL, JDBC, PostgreSQL, DB2 and Cassandra database. The connectors allow applications to connect and perform CRUD operations on databases. They enable integration of databases with applications, systems and services.
Олексій Калініченко — Configuration Management in Drupal8
Олексій Калініченко — Configuration Management in Drupal8LEDC 2016 What configuration is, and what other types of information exist in Drupal 8: Configuration, Content, Session, State.
Hibernate an introduction
Hibernate an introductionjoseluismms This document provides an introduction to Hibernate, an object-relational mapping tool. It discusses the problems Hibernate solves like having SQL statements in code and the object-relational impedance mismatch. It outlines the advantages of Hibernate like database abstraction, automatic state changes, and configuration through XML files. It also provides a high-level overview of how Hibernate works by mapping objects to database tables, its configuration file, and object state changes with examples.
Milan jain resume
Milan jain resumeMilan Jain Milan Jain is an experienced IT professional with over 6 years of experience in Oracle database administration, performance tuning, PL/SQL, and Golden Gate. He currently works as an Oracle DBA/Developer at CVS Health in Woonsocket, RI where he performs tasks like data migration, backup and restoration, patch application, query tuning, and GoldenGate script development. Previously, he worked as an Oracle DBA/Developer at GE in Mumbai where he was responsible for database creation, monitoring, performance issue resolution, statistics analysis, and query optimization. Milan holds a B.Tech in IT and certifications in Oracle OCA 11g, Six Sigma Green Belt, and other technical training.
Xml
XmlKartheek Kanthu This document describes an XML database migration project that converts existing databases into XML file format. It discusses migrating from an existing single database conversion system to a new system that allows conversion of multiple database types like MS Access and SQL. The new system stores data in XML format as flat files for enhanced security, reduced memory usage and data access speed compared to the existing database system. It outlines the introduction, existing system, proposed improved system, module breakdown, software/hardware requirements and conclusion.
Datastage parallell jobs vs datastage server jobs
Datastage parallell jobs vs datastage server jobsshanker_uma The document compares Datastage parallel jobs and server jobs. Parallel jobs can take advantage of parallelism through features like partitioning and pipelining to enhance speed and performance when loading large amounts of data. Parallel jobs run on a multiprocessor system allowing both pipeline parallelism, where data is exchanged between stages as soon as it is available, and partitioning parallelism, where records are divided among nodes. In contrast, server jobs do not have built-in mechanisms for parallelism between stages.
Datastage coursecontent
Datastage coursecontentAmit Sharma This 30-hour online course covers implementing extract, transform, and load (ETL) solutions using IBM DataStage. Students will learn about DataStage fundamentals, ETL strategies, data transformation rules, data quality checks, business rules, data loading techniques, and optimized ETL solutions. The course materials include a student guide, lab guide, and case studies. Topics covered include DataStage architecture, components, administration, job design, debugging stages, and containers.
Datastage details
Datastage detailsKrishna Prasad This document provides an overview of the Data Stage course, which covers topics like the IBM Information Server architecture, Datastage components, the Datastage Administrator for creating and managing projects, the Datastage Director for monitoring jobs, the Designer tool for creating jobs, the Manager for importing and exporting jobs, containers, the Job Sequencer for arranging job activities, Information Analyzer for data profiling, Websphere Quality Stage for data quality stages, and IBM Information Server administration.
Datastage Online Training @ Adithya Elearning
Datastage Online Training @ Adithya Elearningshanmukha rao dondapati The document discusses the fundamentals and components of data warehousing and IBM WebSphere DataStage. It covers topics such as data warehousing architecture and lifecycle, data modeling, ETL processing, DataStage installation, job design, parallel job processing, DataStage components like Director and Administrator, data quality stages, and highlights of training on DataStage.
Camunda BPM 7.2: Performance and Scalability (English)
Camunda BPM 7.2: Performance and Scalability (English)camunda services GmbH Executing hundreds or thousands of process instances per second? Yes, it's possible. This webinar is about best practices for high-load situations, and how to scale Camunda BPM horizontally.
Informatica course curriculum
Informatica course curriculumAmit Sharma About us
BISP is an IT Training and Consulting Company. We are Subject Matter Experts for DHW and BI technologies. We provide Live virtual Online global IT support and services like online software training, live virtual online lab services, virtual online job support with highly intellectual professional trainers and skilled resources , predominantly In Oracle BI, Oracle Data Integrator, Hyperion Product stack, Oracle Middleware solution, Oracle SoA, AIA Informatica, IBM Datastage and IBM Cognos .
BISP has footprints virtually across USA, CANADA, UK, SINGAPORE, SAUDI ARABIA, AUSTRALIA and more by providing live virtual support services from India for fresh graduates, opt students, working professionals etc. Being a live virtual online training the support , training and service methodology is just click away considerably reducing your TIME,INFRASTRUCTURE and Cost effective.
What is struts_en
What is struts_entechbed Struts is a framework that uses the MVC pattern to separate the presentation, business logic, and user interface components of web applications. It provides tag libraries and configuration files to help developers build dynamic web applications in Java. Struts handles common tasks like internationalization, validation, and error handling. The framework uses Java servlets as controllers, JavaBeans for the business model, and JSP pages as views. Configuration files map actions to Java classes and views, allowing flexibility. Struts helps enforce separation of concerns and centralizes control of web application workflow and interaction between components.
Lombardi intro full 
Lombardi intro full Guang Ying Yuan The document provides an overview of the Lombardi Teamworks product, including its architecture, deployment topology, and key components. It discusses the model-driven approach, shared process model, and integrated platform for rapid development. Key capabilities mentioned include process modeling, simulation, optimization, integration, and human workflow features.
Datastage trining
Datastage triningSrinivas Rayankula This document provides an overview of IBM WebSphere DataStage and QualityStage version 8.0.1. It discusses key concepts in data warehousing and ETL using DataStage such as dimensional modeling, fact tables, slowly changing dimensions, and DataStage job components. It also compares server jobs to parallel jobs, and partitioning techniques. Finally, it introduces QualityStage and its data quality stages for standardizing, matching, and deduplicating data.
Oracle soa course_content
Oracle soa course_contentXAVIERCONSULTANTS The document outlines the course content for an Oracle SOA Suite 11g course. It covers introduction to SOA and key concepts like XML, WSDL, and building blocks of SOA. It also covers topics like creating SOA composites, building synchronous and asynchronous services with BPEL, working with adapters, mediators, human workflow, business rules, fault handling, compensation handlers, security, and transactions. The course includes tutorials on creating artifacts and deploying SOA composites.
Be a database professional
Be a database professionalSayed Ahmed The document provides information on skills needed to be a database professional. It lists logical data modeling, translating logical models into real database systems, special design challenges like security and access, normalization from 1NF to 5NF, and tools for data modeling like ER-Studio and ER-Win as important skills. It also discusses star schemas and snowflake schemas for data warehousing, with star schemas being better for performance in most cases.
Data modeling star schema
Data modeling star schemaSayed Ahmed The document provides information on skills needed to be a database professional. It lists logical data modeling, translating logical models into real database systems, special design challenges like security and access, normalization from 1NF to 5NF, and tools for data modeling like ER-Studio and ER-Win as important skills. It also discusses star schemas and snowflake schemas for data warehousing, with star schemas being better for performance in most cases.
Be a database professional
Be a database professionalSayed Ahmed The document provides information on skills needed to be a database professional. It lists logical data modeling, translating logical models into real database systems, special design challenges like security and access, normalization from 1NF to 5NF, and tools for data modeling like ER-Studio and ER-Win as important skills. It also discusses star schemas and snowflake schemas for data warehousing, with star schemas being better for performance in most cases.
Struts Ppt 1
Struts Ppt 1JayaPrakash.m The document provides an overview of the Struts framework, including its advantages and components. It discusses the Model 1 and Model 2 architectures, and explains that Struts implements the MVC pattern. It describes the controller elements like the action servlet and request processor, the model components like Java classes and beans, and the view components like JSP tag libraries. The document also provides examples of how Struts can be implemented in a sample application.
ORACLE APPS DBA ONLINE TRAINING
ORACLE APPS DBA ONLINE TRAININGSanthosh Sap This document provides an overview of an Oracle Apps DBA online training offered by AcuteSoft. The training covers topics such as Oracle database architecture, installation, configuration, maintenance, performance tuning, backup and recovery. It provides contact information for AcuteSoft, an online training provider based in India, the US and the UK. The training is aimed at helping students learn skills for administering Oracle databases and applications.
J2EE Batch Processing
J2EE Batch ProcessingChris Adkin The document summarizes findings from a project testing batch processing performance using J2EE. It discusses considerations for batch frameworks, infrastructure, caching, logging, design challenges, and whether to use batch processing. It also outlines the design of the batch process used, including leveraging raw JDBC, Oracle caching, and tools for performance monitoring.
Ad
More Related Content
What's hot (7)
Graduate Project Summary
Graduate Project SummaryJustAnotherAbstraction This document presents the design and implementation of MySQL/JVM, a framework for embedding the Java Virtual Machine (JVM) runtime environment into the MySQL database server. This allows stored procedures and functions in MySQL to be written in the Java programming language, leveraging Java's robust libraries. Currently, MySQL only supports a basic procedural language for stored procedures. MySQL/JVM aims to address this limitation and enable functionality like XML validation and encryption that are difficult to implement in MySQL's native language.
Mule database-connectors
Mule database-connectorsPhaniu This document summarizes various database connectors available through Anypoint Platform from MuleSoft. It lists connectors for Oracle Database, MySQL, JDBC, PostgreSQL, DB2 and Cassandra database. The connectors allow applications to connect and perform CRUD operations on databases. They enable integration of databases with applications, systems and services.
Олексій Калініченко — Configuration Management in Drupal8
Олексій Калініченко — Configuration Management in Drupal8LEDC 2016 What configuration is, and what other types of information exist in Drupal 8: Configuration, Content, Session, State.
Hibernate an introduction
Hibernate an introductionjoseluismms This document provides an introduction to Hibernate, an object-relational mapping tool. It discusses the problems Hibernate solves like having SQL statements in code and the object-relational impedance mismatch. It outlines the advantages of Hibernate like database abstraction, automatic state changes, and configuration through XML files. It also provides a high-level overview of how Hibernate works by mapping objects to database tables, its configuration file, and object state changes with examples.
Milan jain resume
Milan jain resumeMilan Jain Milan Jain is an experienced IT professional with over 6 years of experience in Oracle database administration, performance tuning, PL/SQL, and Golden Gate. He currently works as an Oracle DBA/Developer at CVS Health in Woonsocket, RI where he performs tasks like data migration, backup and restoration, patch application, query tuning, and GoldenGate script development. Previously, he worked as an Oracle DBA/Developer at GE in Mumbai where he was responsible for database creation, monitoring, performance issue resolution, statistics analysis, and query optimization. Milan holds a B.Tech in IT and certifications in Oracle OCA 11g, Six Sigma Green Belt, and other technical training.
Xml
XmlKartheek Kanthu This document describes an XML database migration project that converts existing databases into XML file format. It discusses migrating from an existing single database conversion system to a new system that allows conversion of multiple database types like MS Access and SQL. The new system stores data in XML format as flat files for enhanced security, reduced memory usage and data access speed compared to the existing database system. It outlines the introduction, existing system, proposed improved system, module breakdown, software/hardware requirements and conclusion.
Datastage parallell jobs vs datastage server jobs
Datastage parallell jobs vs datastage server jobsshanker_uma The document compares Datastage parallel jobs and server jobs. Parallel jobs can take advantage of parallelism through features like partitioning and pipelining to enhance speed and performance when loading large amounts of data. Parallel jobs run on a multiprocessor system allowing both pipeline parallelism, where data is exchanged between stages as soon as it is available, and partitioning parallelism, where records are divided among nodes. In contrast, server jobs do not have built-in mechanisms for parallelism between stages.
Similar to Data stage docx (20)
Datastage coursecontent
Datastage coursecontentAmit Sharma This 30-hour online course covers implementing extract, transform, and load (ETL) solutions using IBM DataStage. Students will learn about DataStage fundamentals, ETL strategies, data transformation rules, data quality checks, business rules, data loading techniques, and optimized ETL solutions. The course materials include a student guide, lab guide, and case studies. Topics covered include DataStage architecture, components, administration, job design, debugging stages, and containers.
Datastage details
Datastage detailsKrishna Prasad This document provides an overview of the Data Stage course, which covers topics like the IBM Information Server architecture, Datastage components, the Datastage Administrator for creating and managing projects, the Datastage Director for monitoring jobs, the Designer tool for creating jobs, the Manager for importing and exporting jobs, containers, the Job Sequencer for arranging job activities, Information Analyzer for data profiling, Websphere Quality Stage for data quality stages, and IBM Information Server administration.
Datastage Online Training @ Adithya Elearning
Datastage Online Training @ Adithya Elearningshanmukha rao dondapati The document discusses the fundamentals and components of data warehousing and IBM WebSphere DataStage. It covers topics such as data warehousing architecture and lifecycle, data modeling, ETL processing, DataStage installation, job design, parallel job processing, DataStage components like Director and Administrator, data quality stages, and highlights of training on DataStage.
Camunda BPM 7.2: Performance and Scalability (English)
Camunda BPM 7.2: Performance and Scalability (English)camunda services GmbH Executing hundreds or thousands of process instances per second? Yes, it's possible. This webinar is about best practices for high-load situations, and how to scale Camunda BPM horizontally.
Informatica course curriculum
Informatica course curriculumAmit Sharma About us
BISP is an IT Training and Consulting Company. We are Subject Matter Experts for DHW and BI technologies. We provide Live virtual Online global IT support and services like online software training, live virtual online lab services, virtual online job support with highly intellectual professional trainers and skilled resources , predominantly In Oracle BI, Oracle Data Integrator, Hyperion Product stack, Oracle Middleware solution, Oracle SoA, AIA Informatica, IBM Datastage and IBM Cognos .
BISP has footprints virtually across USA, CANADA, UK, SINGAPORE, SAUDI ARABIA, AUSTRALIA and more by providing live virtual support services from India for fresh graduates, opt students, working professionals etc. Being a live virtual online training the support , training and service methodology is just click away considerably reducing your TIME,INFRASTRUCTURE and Cost effective.
What is struts_en
What is struts_entechbed Struts is a framework that uses the MVC pattern to separate the presentation, business logic, and user interface components of web applications. It provides tag libraries and configuration files to help developers build dynamic web applications in Java. Struts handles common tasks like internationalization, validation, and error handling. The framework uses Java servlets as controllers, JavaBeans for the business model, and JSP pages as views. Configuration files map actions to Java classes and views, allowing flexibility. Struts helps enforce separation of concerns and centralizes control of web application workflow and interaction between components.
Lombardi intro full
Lombardi intro full Guang Ying Yuan The document provides an overview of the Lombardi Teamworks product, including its architecture, deployment topology, and key components. It discusses the model-driven approach, shared process model, and integrated platform for rapid development. Key capabilities mentioned include process modeling, simulation, optimization, integration, and human workflow features.
Datastage trining
Datastage triningSrinivas Rayankula This document provides an overview of IBM WebSphere DataStage and QualityStage version 8.0.1. It discusses key concepts in data warehousing and ETL using DataStage such as dimensional modeling, fact tables, slowly changing dimensions, and DataStage job components. It also compares server jobs to parallel jobs, and partitioning techniques. Finally, it introduces QualityStage and its data quality stages for standardizing, matching, and deduplicating data.
Oracle soa course_content
Oracle soa course_contentXAVIERCONSULTANTS The document outlines the course content for an Oracle SOA Suite 11g course. It covers introduction to SOA and key concepts like XML, WSDL, and building blocks of SOA. It also covers topics like creating SOA composites, building synchronous and asynchronous services with BPEL, working with adapters, mediators, human workflow, business rules, fault handling, compensation handlers, security, and transactions. The course includes tutorials on creating artifacts and deploying SOA composites.
Be a database professional
Be a database professionalSayed Ahmed The document provides information on skills needed to be a database professional. It lists logical data modeling, translating logical models into real database systems, special design challenges like security and access, normalization from 1NF to 5NF, and tools for data modeling like ER-Studio and ER-Win as important skills. It also discusses star schemas and snowflake schemas for data warehousing, with star schemas being better for performance in most cases.
Data modeling star schema
Data modeling star schemaSayed Ahmed The document provides information on skills needed to be a database professional. It lists logical data modeling, translating logical models into real database systems, special design challenges like security and access, normalization from 1NF to 5NF, and tools for data modeling like ER-Studio and ER-Win as important skills. It also discusses star schemas and snowflake schemas for data warehousing, with star schemas being better for performance in most cases.
Be a database professional
Be a database professionalSayed Ahmed The document provides information on skills needed to be a database professional. It lists logical data modeling, translating logical models into real database systems, special design challenges like security and access, normalization from 1NF to 5NF, and tools for data modeling like ER-Studio and ER-Win as important skills. It also discusses star schemas and snowflake schemas for data warehousing, with star schemas being better for performance in most cases.
Struts Ppt 1
Struts Ppt 1JayaPrakash.m The document provides an overview of the Struts framework, including its advantages and components. It discusses the Model 1 and Model 2 architectures, and explains that Struts implements the MVC pattern. It describes the controller elements like the action servlet and request processor, the model components like Java classes and beans, and the view components like JSP tag libraries. The document also provides examples of how Struts can be implemented in a sample application.
ORACLE APPS DBA ONLINE TRAINING
ORACLE APPS DBA ONLINE TRAININGSanthosh Sap This document provides an overview of an Oracle Apps DBA online training offered by AcuteSoft. The training covers topics such as Oracle database architecture, installation, configuration, maintenance, performance tuning, backup and recovery. It provides contact information for AcuteSoft, an online training provider based in India, the US and the UK. The training is aimed at helping students learn skills for administering Oracle databases and applications.
J2EE Batch Processing
J2EE Batch ProcessingChris Adkin The document summarizes findings from a project testing batch processing performance using J2EE. It discusses considerations for batch frameworks, infrastructure, caching, logging, design challenges, and whether to use batch processing. It also outlines the design of the batch process used, including leveraging raw JDBC, Oracle caching, and tools for performance monitoring.
Informatica9.0
Informatica9.0Amit Sharma This document outlines the course content for Informatica 9.0, including topics such as ETL and Informatica architecture, the Informatica Admin Console, Repository Service, Repository Manager, Informatica Designer, transformations, Workflow Manager, Workflow Monitor, reusable objects, and advanced topics. The contact provided can provide more information on the course.
Data Access Tech Ed India
Data Access Tech Ed Indiarsnarayanan The document provides an agenda and overview for a presentation on data access layer patterns and options. It discusses considerations for keeping data entities consistent or managing differences between objects and schemas. It also covers common patterns for each approach, including row and table data gateways, active record, domain models, data mappers, repositories, and unit of work. The presentation will assess data access technologies and discuss additional challenges like domain model responsibilities. Attendees can contact the presenter with any other questions.
Virtual Classroom
Virtual Classroomchintanshah007 The document summarizes the design of a virtual classroom system that allows students to take online courses. It describes the key requirements of having instructor-led courses with quizzes and lectures available online. The system uses Java EE technologies like EJBs and JBoss for the server-side and Swing for the client. Key aspects covered are the architecture design using session facades, entity beans for data modeling, and sequence diagrams demonstrating features like registration and quizzes.
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010Bhupesh Bansal Jan 22nd, 2010 Hadoop meetup presentation on project voldemort and how it plays well with Hadoop at linkedin. The talk focus on Linkedin Hadoop ecosystem. How linkedin manage complex workflows, data ETL , data storage and online serving of 100GB to TB of data.
Hadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedInHadoop User Group The document discusses Project Voldemort, a distributed key-value storage system developed at LinkedIn. It provides an overview of Voldemort's motivation and features, including high availability, horizontal scalability, and consistency guarantees. It also describes LinkedIn's use of Voldemort and Hadoop for applications like event logging, online lookups, and batch processing of large datasets.
Ad
More from Amit Sharma (20)
Oracle enteprise pbcs drivers and assumptions
Oracle enteprise pbcs drivers and assumptionsAmit Sharma This document discusses driver-based planning and budgeting solutions using Oracle Enterprise Planning and Budgeting. It allows adjusting numbers based on internal or external factors through defining key drivers that impact areas like revenue, expenses, balance sheets, and cash flows. Drivers can be standard or custom defined and then used to calculate and adjust planned numbers across various areas. The document provides examples of common drivers for revenue, expenses, balance sheet accounts, and cash flows that can significantly impact the planning and budgeting process.
Oracle EPBCS Driver 
Oracle EPBCS Driver Amit Sharma This is driver based planning model. In the model Planning is configured with driver as to driver change impacts on entire application
Oracle Sales Quotation Planning
Oracle Sales Quotation PlanningAmit Sharma This document provides step by step instructions to create and configure Oracle Sales Quotation Planning
Oracle strategic workforce planning cloud hcmswp converted
Oracle strategic workforce planning cloud hcmswp convertedAmit Sharma Oracle Strategic Workforce Planning Cloud is a tool to help companies align workforce strategy with business goals. It assesses skills across categories like behavioral, managerial, and technical. It identifies gaps between current and future skill needs through supply and demand analysis. Recommendations include establishing reliable data processes and using intelligent software to link HR transactions to workforce planning and strategic goals.
Basics of fdmee
Basics of fdmeeAmit Sharma This document provides an overview of Oracle's Financial Data Quality Management, Enterprise Edition (FDMEE). It describes FDMEE's introduction, architecture, key differences from the previous Financial Data Management product, and value-added features. The document also walks through the FDMEE graphical user interface and components for navigation, setup, integration, data loading, and batch processing.
FDMEE script examples
FDMEE script examplesAmit Sharma This document provides examples of using import and mapping scripts in Oracle Hyperion Financial Data Quality Management. There are four examples that demonstrate different ways to apply import and mapping scripts, including using string expressions to extract data from import files, conditional expressions to convert credit and debit columns into a single amount column, and using the "IGNORE" expression to skip rows with negative amounts in a mapping script. The examples are intended to illustrate the flexibility of using Jython scripts to customize data import and mapping tasks.
Oracle PBCS creating standard application
Oracle PBCS creating standard applicationAmit Sharma This document provides steps for creating a standard application in Oracle Enterprise Performance Management Cloud. It discusses selecting the application type as standard, which builds advanced applications. It also covers setting up currencies, custom dimensions and metadata, and the calendar. The complete creation process involves 7 steps: 1) Creating the application 2) Loading metadata 3) Modifying metadata 4) Configuring components 5) Assigning security 6) Loading data 7) Creating and deploying business rules.
Hfm rule custom consolidation
Hfm rule custom consolidationAmit Sharma The document provides information about creating consolidation and elimination rules in HFM Calc Manager. It describes the default consolidation calculation process and functions like PCon and Con that are used to calculate the proportion and elimination members. It explains that custom rules can override the default process. A standard consolidation template is presented that can be used as a starting point, which uses PCon to get the consolidation percentage and Con to calculate proportions and eliminations.
Hfm calculating RoA
Hfm calculating RoAAmit Sharma This document discusses calculating return on assets (ROA) using a dynamic procedure in HFM Calc Manager. It defines ROA as net profit divided by average total assets. It then shows a dynamic sub routine that calculates periodic, quarter-to-date, half-year-to-date, and year-to-date ROA by dividing net income by assets over different time periods. An example calculation is provided to demonstrate how it works.
Adding metadata using smartview
Adding metadata using smartviewAmit Sharma There are two modes for adding new members in the Oracle Hyperion Planning Smartview grid: Dimension Editor Mode and Submit without Refresh Mode. Dimension Editor Mode requires a refresh after each addition but is generally faster, and marks new members with an asterisk. Submit without Refresh Mode does not require a refresh but is slower, and does not mark new members. By default, the mode is Dimension Editor, but it can be changed to Submit without Refresh by setting a property to "True".
Hyperion planning weekly distribution
Hyperion planning weekly distributionAmit Sharma This document provides an overview of weekly distribution in Oracle Hyperion Planning 11.1.2.4 presented by Amit Sharma of BISP Solutions. It includes instructions for forecasting salaries, miscellaneous expenses, and total expenses by setting calculation options, fixing a forecast cell, and using formulas to calculate salaries based on headcount and average salaries and miscellaneous expenses as a percentage of salaries. It concludes by asking if there are any questions.
Hyperion planning scheduling data import
Hyperion planning scheduling data importAmit Sharma This document discusses putting Oracle Hyperion Planning in maintenance mode via the command line, forecasting salaries and expenses in a salary forecast data form, and fixing a forecast for salaries, miscellaneous expenses, and total expenses based on headcount, average salaries, and an employee benefits percentage. It ends by asking if there are any questions.
Hyperion planning new features
Hyperion planning new featuresAmit Sharma Oracle Hyperion Planning 11.1.2.4 includes a new simplified interface designed for tablets with faster client-side scripting, rich planning dashboards combining forms, charts, links and commentary. The presentation discusses new features in Oracle Hyperion Planning 11.1.2.4, focusing on the simplified interface optimized for tablets and including rich dashboards combining different planning elements.
Microsoft dynamics crm videos
Microsoft dynamics crm videosAmit Sharma Learn how to use Microsoft Dynamics CRM, from beginner basics to advanced techniques, with hundreds of online video tutorials taught.
Oracle apex-hands-on-guide lab#1
Oracle apex-hands-on-guide lab#1Amit Sharma The document provides an overview and hands-on guide for using Oracle Application Express (APEX). It describes the key components of APEX including the Application Builder, SQL Workshop, and Administration. The SQL Workshop component allows users to browse, create, and manage database objects using the Object Browser, run SQL commands, work with SQL scripts, and use the Query Builder. Step-by-step instructions are provided on creating a workspace and logging in, using the Object Browser to create tables and insert data, and running SQL queries using the SQL Commands component.
Oracle apex hands on lab#2
Oracle apex hands on lab#2Amit Sharma The document provides instructions for creating different types of applications in Oracle Application Express (APEX) using the Application Builder component. It describes how to create database applications, spreadsheet applications, and websheet applications step-by-step. It also explains how to install pre-built packaged applications available in APEX. The goal is to provide beginners with guidance on building their first APEX applications through the different subcomponents of the Application Builder.
Security and-data-access-document
Security and-data-access-documentAmit Sharma This document provides an overview of security and data access in Salesforce CRM, including how to restrict logins by hours, IP addresses, and profiles; set object, record, and field-level security; manage access with roles and permission sets; and handle exceptions. It discusses viewing and customizing field-level security for standard and custom objects.
Sales force managing-data
Sales force managing-dataAmit Sharma at the beginning:
[DOCUMENT]
Getting Started with SalesForce CRM
Managing Data in SALESFORCE Part 1
Description:
BISP is committed to provide B
Salesforce interview-preparation-toolkit-formula-and-validation-rules-in-sale...
Salesforce interview-preparation-toolkit-formula-and-validation-rules-in-sale...Amit Sharma The document provides a summary of Salesforce formulas and validation rules that are commonly asked about during interviews. It includes 17 questions related to formulas and validation rules, each with a description of the requirement and the solution in the form of Salesforce code. The document is intended to help both beginners and advanced learners prepare for Salesforce interviews by providing real-world examples of formulas and validation rules.
Sales force certification-lab-ii
Sales force certification-lab-iiAmit Sharma The document provides information about various data management tools in Salesforce including analytic snapshots, the data import wizard, export data, and mass transfer and delete records. It describes how to use these tools to import, export, and manage data in 3 steps or less for each tool. The analytic snapshots tool allows users to save report results as custom object records while the import wizard provides a unified interface to import standard and custom objects from a CSV file by mapping fields. Users can also export data on-demand or on a scheduled basis and mass transfer or delete multiple records at once.
Ad
Data stage docx
- 1. www.bispsolutions.com www.bisptrainings.com www.hyperionguru.com Page 1 IBM DataStage : Implementing ETL Solution using IBM DataStage Course Description: This course covers the basic of Data Warehousing fundamentals, ETL Fundamentals and focuses on implementing Extract, Transform and Load strategy using IBM DataStage. Learn the real work Data Transformation rules, Data Quality Check, Basic and Advance Business Rules, Data Loading Strategies and optimized ETL solutions. The training is full of real time case studies, Problem/Solutions based model and based on current job requirements. Course Duration: 30 hours. Take Away: Student Guide, Lab Guide and Case Studies. Class Delivery: On-Line (Interactive Web Based ) Contents Introduction about Data Stage Difference between Server Jobs and Parallel Jobs Difference between Pipeline Parallelisms Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules,Range,DB2,Auto) Configuration File Difference between SMP/MPD architecture Data Stage Components (Server components/Client Components) Package Installer Data Stage Administrator Creating project, Editing project and Deleting project Permissions to user .Apt Config file Environment variable creation, permission Data stage director Introduction to Data stage Director Job status View View logs Scheduling Batches Creation Designer Introduction about Designer Repository Palatte Types of Links File Stages Sequential File Data set File Lookup file set Difference between Sequential file/Dataset/File set Database stages Dynamic RDBMS Oracle Enterprise ODBC Enterprise
- 2. www.bispsolutions.com www.bisptrainings.com www.hyperionguru.com Page 2 Stored Procedure Processing stages Change Capture (Caption) Compare stage Difference Stage Aggregate Stage Transformer Stage Surrogate Generator Stage Join Generator Stage Merge Generator Stage Lookup Generator Stage Difference between join/Lookup/Merge Difference between join/Lookup Remove Duplicates Switch Pivot Modify Funnel Debugging stage Head Tail Pea Row Generator Column Generator Sample Job Parameters Manager Introduction About Data stage Manager Importing the Job Exporting the Job Importing Table Definition Importing Flat File Definition Routines Containers Difference between Local Container and Shared Container Local Container Shared Container