ODI 12c Installation and New Features
Download as PPTX, PDF2 likes2,076 views
This document summarizes the requirements, installation, and new features of Oracle Data Integrator 12c. It outlines that ODI 12c requires Java 7 and Oracle 11g or 12c databases. It also lists several new features including declarative flow-based design, reusable mappings, a step-by-step debugger, knowledge module architecture, and enhanced parallelism capabilities. The document provides high-level information about installing ODI 12c and introduces several new features but does not go into detail about any single topic.
1 of 18
Downloaded 60 times
Ad
Recommended
Odi 12c-new-features-wp-2226353
Odi 12c-new-features-wp-2226353Udaykumar Sarana 1) Oracle Data Integrator 12c includes several new features for enhanced big data support, including the introduction of Spark and Pig integration, orchestration of jobs using Oozie, improved Hive integration, and retrieval of Hadoop audit logs.
2) The 12c release expands big data support further with Sqoop integration, HBase integration, Hive append optimization, and security enhancements.
3) Additional features in 12c focus on design-time experience and productivity improvements such as a new model and topology objects wizard, improved control of concurrent scenario and load plan execution, and documentation changes.
Delivering Insights from 20M+ Smart Homes with 500M+ Devices
Delivering Insights from 20M+ Smart Homes with 500M+ DevicesDatabricks We started out processing big data using AWS S3, EMR clusters, and Athena to serve Analytics data extracts to Tableau BI.
However as our data and teams sizes increased, Avro schemas from source data evolved, and we attempted to serve analytics data through Web apps, we hit a number of limitations in the AWS EMR, Glue/Athena approach.
This is a story of how we scaled out our data processing and boosted team productivity to meet our current demand for insights from 20M+ Smart Homes and 500M+ devices across the globe, from numerous internal business teams and our 150+ CSP partners.
We will describe lessons learnt and best practices established as we enabled our teams with DataBricks autoscaling Job clusters and Notebooks and migrated our Avro/Parquet data to use MetaStore, SQL Endpoints and SQLA Console, while charting the path to the Delta lake…
Oracle Data Integrator 
Oracle Data Integrator IT Help Desk Inc Oracle Data Integrator (ODI) is an ETL tool acquired by Oracle in 2006. It provides a graphical interface to build, manage, and maintain data integration processes. ODI can extract, transform, and load data between heterogeneous data sources to support business intelligence, data warehousing, data migrations, and master data management projects. It uses a 4-tier architecture with repositories to store metadata and designs, an ODI Studio for development, runtime agents to execute tasks, and a console for monitoring.
Fusion Middleware Oracle Data Integrator
Fusion Middleware Oracle Data IntegratorMark Rabne Oracle Data Integration can help improve information agility by enabling unified information management across organizations. It provides optimized data loading and real-time integration capabilities. This allows businesses to gain improved insights, reduce IT costs, and enhance agility through features like declarative design, knowledge modules, and data quality tools. Customers have seen benefits such as cost savings, increased revenues, and better decision making through using Oracle Data Integration.
Oracle Data Integration Presentation
Oracle Data Integration Presentationkgissandaner Oracle Data Integrator is an ETL tool that has three main differentiators: 1) It uses a declarative, set-based design approach which allows for shorter implementation times and reduced learning curves compared to specialized ETL skills. 2) It can transform data directly in the existing RDBMS for high performance and lower costs versus using a separate ETL server. 3) It has hot-pluggable knowledge modules that provide a library of reusable templates to standardize best practices and reduce costs.
Using Apache Spark for Predicting Degrading and Failing Parts in Aviation
Using Apache Spark for Predicting Degrading and Failing Parts in AviationDatabricks Throughout naval aviation, data lakes provide the raw material for generating insights into predictive maintenance and increasing readiness across many platforms. Successfully leveraging these data lakes can be technically challenging.
New Approaches to Migrating from Oracle to Enterprise-Ready Postgres in the C...
New Approaches to Migrating from Oracle to Enterprise-Ready Postgres in the C...EDB The document discusses migrating from Oracle to Postgres in the cloud using EnterpriseDB's (EDB) Postgres Cloud Database Service. It highlights that EDB offers Oracle compatibility, migration tools, and human support to help with migrations. Over 50% of migrations have slight to no modifications needed. The presentation covers the EDB Cloud Database Service, reasons to migrate, components of a successful migration, what EDB offers to help, and how to identify good candidates for migration. It recommends leveraging the EDB tools and cloud database service for an agile migration.
Database Cloud Services Office Hours : Oracle sharding hyperscale globally d...
Database Cloud Services Office Hours : Oracle sharding hyperscale globally d...Tammy Bednar This presentation provides an overview of Oracle Sharding and the new Sharding Oracle Database Cloud Service.
No Time to Waste: Migrate from Oracle to Postgres in Minutes
No Time to Waste: Migrate from Oracle to Postgres in MinutesEDB Need to break free from Oracle? An open source-based DBMS like Postgres is the answer. So, what is stopping you? Discover how to migrate from Oracle to Postgres, quickly and without risk. This talk will explain how to leverage tools and technologies to convert your Oracle database to EDB Postgres with ease and offer helpful best practices, including: What challenges to look for, like complex schemas, database stored procedures and more, where to start, like self-contained databases that help free up Oracle licenses, and, when to deploy your workload on-premises or in the cloud
EDB Postgres & Tools in a Smart City Project
EDB Postgres & Tools in a Smart City ProjectEDB NEC, a global IT company, implemented a smart city project in the MENA region that required processing large amounts of live data in real time. As the database was critical to the project, NEC partnered with Profelis, an EDB Postgres expert, to help with the challenging database architecture. Profelis used tools like streaming replication, logical replication, EDB Failover Manager, pgBarman, and EDB Postgres Enterprise Manager to achieve high availability, disaster recovery, minimal downtime, and zero data loss across data centers for the critical project database.
Oracle data integrator (odi) online training
Oracle data integrator (odi) online trainingGlory IT Technologies Pvt. Ltd. Oracle Data Integrator (ODI) Online Training is providing at Glory IT Technologies. You will learn how to create the ODI topology, design ODI interfaces, packages, procedures and organize ODI models & other objects. Every student will learn how to use manage projects in ODI to develop interfaces and objects. Our ODI Training takes student through some of the more advanced features is used of Oracle Data Integrator.
Northwestern Mutual Journey – Transform BI Space to Cloud
Northwestern Mutual Journey – Transform BI Space to CloudDatabricks The volume of available data is growing by the second (to an estimated 175 zetabytes by 2025), and it is becoming increasingly granular in its information. With that change every organization is moving towards building a data driven culture. We at Northwestern Mutual share similar story of driving towards making data driven decisions to improve both efficiency and effectiveness. Legacy system analysis revealed bottlenecks, excesses, duplications etc. Based on ever growing need to analyze more data our BI Team decided to make a move to more modern, scalable, cost effective data platform. As a financial company, data security is as important as ingestion of data. In addition to fast ingestion and compute we would need a solution that can support column level encryption, Role based access to different teams from our datalake.
In this talk we describe our journey to move 100’s of ELT jobs from current MSBI stack to Databricks and building a datalake (using Lakehouse). How we reduced our daily data load time from 7 hours to 2 hours with capability to ingest more data. Share our experience, challenges, learning, architecture and design patterns used while undertaking this huge migration effort. Different sets of tools/frameworks built by our engineers to help ease the learning curve that our non-Apache Spark engineers would have to go through during this migration. You will leave this session with more understand on what it would mean for you and your organization if you are thinking about migrating to Apache Spark/Databricks.
Postgres Integrates Effectively in the "Enterprise Sandbox"
Postgres Integrates Effectively in the "Enterprise Sandbox"EDB This presentation provides guidance through these challenges and provide solutions that allow you to:
- Connect to multiple sources of data to support your growing business
- Integrate with existing incumbent systems that power your business
- Share siloed data among your technical teams to address strategic objectives
- Learn how customers integrated EDB Postgres within their corporate ecosystems that included Oracle, SQL Server, MongoDB, Hadoop, MySQL and Tuxedo
This presentation covers the solutions, services, and best practice recommendations you need to be a leader in today’s complex digital environment.
Target Audience: The content will interest both business and technical decision-makers or influencers responsible for the overall strategy and execution of a PostgreSQL and/or an EDB Postgres database.
An Expert Guide to Migrating Legacy Databases to PostgreSQL
An Expert Guide to Migrating Legacy Databases to PostgreSQLEDB his webinar will review the challenges teams face when migrating from Oracle databases to PostgreSQL. We will share insights gained from running large scale Oracle compatibility assessments over the last two years, including the over 2,200,000 Oracle DDL constructs that were assessed through EDB’s Migration Portal in 2020.
During this session we will address:
Storage definitions
Packages
Stored procedures
PL/SQL code
Proprietary database APIs
Large scale data migrations
We will end the session demonstrating migration tools that significantly simplify and aid in reducing the risk of migrating Oracle databases to PostgreSQL.
The Need For Speed - Strategies to Modernize Your Data Center
The Need For Speed - Strategies to Modernize Your Data CenterEDB Join Postgres expert, Marc Linster and Nutanix Product Manager, Jeremy Launier as they share strategies for creating agility in the enterprise, explain how to avoid the complexity and cost of legacy IT, and discuss the benefits leveraging the cloud.
Highlights include:
- How to increase database flexibility and why it matters
- How to leverage the private cloud effectively
- How to maximize the benefit of on premises DBaaS (Database as a Service)
This webinar is a joint session between EnterpriseDB and Nutanix, two companies recognized in the Gartner Magic Quadrant for operational database management systems and hyperconverged infrastructure.
Automating Data Quality Processes at Reckitt
Automating Data Quality Processes at ReckittDatabricks Reckitt is a fast-moving consumer goods company with a portfolio of famous brands and over 30k employees worldwide. With that scale small projects can quickly grow into big datasets, and processing and cleaning all that data can become a challenge. To solve that challenge we have created a metadata driven ETL framework for orchestrating data transformations through parametrised SQL scripts. It allows us to create various paths for our data as well as easily version control them. The approach of standardising incoming datasets and creating reusable SQL processes has proven to be a winning formula. It has helped simplify complicated landing/stage/merge processes and allowed them to be self-documenting.
But this is only half the battle, we also want to create data products. Documented, quality assured data sets that are intuitive to use. As we move to a CI/CD approach, increasing the frequency of deployments, the demand of keeping documentation and data quality assessments up to date becomes increasingly challenging. To solve this problem, we have expanded our ETL framework to include SQL processes that automate data quality activities. Using the Hive metastore as a starting point, we have leveraged this framework to automate the maintenance of a data dictionary and reduce documenting, model refinement, testing data quality and filtering out bad data to a box filling exercise. In this talk we discuss our approach to maintaining high quality data products and share examples of how we automate data quality processes.
Best practices: running high-performance databases on Kubernetes
Best practices: running high-performance databases on KubernetesMariaDB plc Databases benefit greatly from containerization in terms of performance, ease-of-deployment, and scalability. However, building a database-as-a-service (DBaaS) on Kubernetes without the right infrastructure can be a complex, time-consuming project where some database services have to be run outside of the cluster for the sake of leveraging persistent storage. This session offers up a global financial institution’s real-world account of how bare metal Kubernetes infrastructure can further enhance the performance of MariaDB’s innovative, load-balanced database services – and how the requisite persistent storage can be best provisioned, managed and backed up without service interruption or creating an additional burden for application owners and developers.
Whats New in Postgres 12
Whats New in Postgres 12EDB Join Postgres experts Bruce Momjian and Marc Linster as they preview everything new in Postgres 12. You don’t want to miss this!
Highlights include:
- New compatibility features
- PostgreSQL: Table access methods
- Partitioning Improvements
Conquering Data Migration from Oracle to Postgres
Conquering Data Migration from Oracle to PostgresEDB Once you have converted Oracle object definitions and stored procedures, moving the data is the next key stage.
There are three approaches for migrating data: Big-bang, Trickle, and Synchronize. While most migrations can be done using any one of these approaches, some migrations will require a combination of them.
In this webinar, we will cover the below approaches to migrating data from Oracle to Postgres:
Big bang - One-time data load
Trickle - One-time data load in parallel
Synchronize - Sync data between Oracle and Postgres using replication
Make Oracle scream with Flash Storage - Kaminario
Make Oracle scream with Flash Storage - KaminarioToronto-Oracle-Users-Group This document discusses how flash storage can improve Oracle database performance. It provides examples of customers who saw significant performance improvements by moving from disk to flash storage. The key points are:
1. More than 80% of performance issues are traced back to poorly performing storage. Flash storage can provide much lower and more consistent latencies than disk.
2. Kaminario's scale-out flash storage delivers mixed workload performance with low and consistent latencies even under high throughput or failure conditions.
3. Case studies show customers achieved 5-10x performance improvements on critical workloads like batch jobs by moving from disk to Kaminario's flash storage. Latencies improved from hours to just minutes.
EDB Failover Manager - Features and Demo
EDB Failover Manager - Features and DemoEDB EnterpriseDB (EDB) delivers an open source database platform for new applications, cloud migration, modernization, and legacy migration. EDB Failover Manager 3.6 provides high availability and failover capabilities for PostgreSQL databases. It supports various Linux distributions and has prerequisites of Java, streaming replication, firewall configuration. The architecture includes a master, standby, witness, agent, VIP, and JGroups. New features and tunable properties are discussed for user requirements and different failover scenarios.
EDB Postgres Platform 11 Webinar
EDB Postgres Platform 11 WebinarEDB Learn what's new in EDB Postgres 11. This update includes a refreshed version of EDB Postgres Advanced Server, which is built on and enhances the capabilities of open source PostgreSQL 11 with new data redaction capabilities, autonomous transaction commands, and performance diagnostics.
Webinar agenda:
- An intro to EDB Postgres, including BART, EFM, and containers
- What's new with EDB Postgres 11
- Brief overview and demo of PEM 7
Don’t miss this opportunity to hear from some of the top Postgres contributors!
Why Care Risk Choose PostgreSQL
Why Care Risk Choose PostgreSQLEDB Care Risk Solutions, based in Mumbai, India, provides software solutions for Banking, Financial Services, and Insurance (BFSI) sectors. Care Risk carries a suite of solutions primarily to support companies in the financial risk domain. This includes its Enterprise Risk Management suite (ERM), Asset Liability Management (ALM), Fund Transfer Pricing (FTP), International Financial Reporting Standards (IFRS), Financial Reporting Applications, Lending suite, and Early Warning systems.
To ensure support for its wide range of products, Care Risk Solutions chose to migrate from its legacy databases to EDB Postgres. The switch enabled Care Risk to widen their product availability on multiple databases as well as the ability to track large contracts across many years. Care Risk also benefited from the services support from Chemtrols Infotech, including SLA maintenance with end customers.
In this presentation, a Care Risk representative explains their migration journey from legacy database systems to EDB Postgres, the challenges faced, benefits of migrating to EDB Postgres, and much more.
How to Monitor Postgres Like a Pro!
How to Monitor Postgres Like a Pro!EDB Monitoring is a critical element of the database ecosystem and for overall performance of the database. It also helps ensure that your database is in a healthy state and contributing to the long term stability of your database and application.
Monitoring becomes tricky without knowing what to monitor and how to monitor those variables.
What you will learn in this webinar:
1. Why is it essential to monitor Postgres?
2. The proactive and reactive monitoring approaches and how they help handle future problems
3. The top 10 monitoring checklist
4. When not to monitor
5. A deeper dive into open source tools for monitoring with Prometheus and Grafana
The new big data
The new big dataAdam Doyle The document discusses Cloudera's enterprise data cloud platform. It notes that data management is spread across multiple cloud and on-premises environments. The platform aims to provide an integrated data lifecycle that is easier to use, manage and secure across various business use cases. Key components include environments, data lakes, data hub clusters, analytic experiences, and a central control plane for management. The platform offers both traditional and container-based consumption options to provide flexibility across cloud, private cloud and on-premises deployment.
How to Build On-demand Oracle Compatible Postgres Database in Minutes
How to Build On-demand Oracle Compatible Postgres Database in MinutesEDB Learn how to build an on-demand Oracle compatible Postgres database in minutes with EDB Postgres Cloud Database Service (CDS).
PostgreSQL to Accelerate Innovation
PostgreSQL to Accelerate InnovationEDB PostgreSQL is versatile and used for a wide range of applications and use cases in the enterprise. It is more than just database technology, it is an accelerator for innovation. Much innovation today is happening in new application development, application modernization, and re-platforming to the cloud across the information architecture landscape. In this webinar, you will learn how EDB supercharges PostgreSQL to re-platform to cloud and containers more efficiently and develop new applications that are more scalable and secure.
Generative Hyperloop Design: Managing Massively Scaled Simulations Focused on...
Generative Hyperloop Design: Managing Massively Scaled Simulations Focused on...Databricks Virgin Hyperloop One is the leader in realizing a Hyperloop mass transportation system (VHOMTS), which will bring the cities and people closer together than ever before while reducing pollution, emission of greenhouse gases, transit times, etc. To build a safe and user friendly Hyperloop, we need to answer key technical and business questions, including: – ‘What is the safe maximum speed the hyperloop can go?’ – ‘How many pods (the vehicles that carry people) do we need to fulfill a given demand?’
Oracle Warehouse Builder to Oracle Data Integrator 12c Migration Utility
Oracle Warehouse Builder to Oracle Data Integrator 12c Migration UtilityNoel Sidebotham This document provides an overview of migrating from Oracle Warehouse Builder (OWB) to Oracle Data Integrator (ODI) 12c. It discusses the migration utility that can convert OWB 11gR2 design time metadata, such as data objects and mappings, to equivalent objects in ODI. The utility has limitations and not all OWB objects are supported. The document also describes how existing OWB jobs can continue to be executed and monitored from within ODI. It recommends reviewing logs after migration and manually updating any excluded objects. Oracle Consulting offers migration factory services to assist with the OWB to ODI migration process.
Knowage essential training
Knowage essential trainingKNOWAGE This training is intended to support Knowage beginners and guide them though the first essential steps required to take the most out of Knowage experience.
In the first session:
- Knowage installation tutorial
- Knowage overview
- Datasource connection and dataset creation.
In the second session:
- Cockpit creation step by step.
Ad
More Related Content
What's hot (20)
No Time to Waste: Migrate from Oracle to Postgres in Minutes
No Time to Waste: Migrate from Oracle to Postgres in MinutesEDB Need to break free from Oracle? An open source-based DBMS like Postgres is the answer. So, what is stopping you? Discover how to migrate from Oracle to Postgres, quickly and without risk. This talk will explain how to leverage tools and technologies to convert your Oracle database to EDB Postgres with ease and offer helpful best practices, including: What challenges to look for, like complex schemas, database stored procedures and more, where to start, like self-contained databases that help free up Oracle licenses, and, when to deploy your workload on-premises or in the cloud
EDB Postgres & Tools in a Smart City Project
EDB Postgres & Tools in a Smart City ProjectEDB NEC, a global IT company, implemented a smart city project in the MENA region that required processing large amounts of live data in real time. As the database was critical to the project, NEC partnered with Profelis, an EDB Postgres expert, to help with the challenging database architecture. Profelis used tools like streaming replication, logical replication, EDB Failover Manager, pgBarman, and EDB Postgres Enterprise Manager to achieve high availability, disaster recovery, minimal downtime, and zero data loss across data centers for the critical project database.
Oracle data integrator (odi) online training
Oracle data integrator (odi) online trainingGlory IT Technologies Pvt. Ltd. Oracle Data Integrator (ODI) Online Training is providing at Glory IT Technologies. You will learn how to create the ODI topology, design ODI interfaces, packages, procedures and organize ODI models & other objects. Every student will learn how to use manage projects in ODI to develop interfaces and objects. Our ODI Training takes student through some of the more advanced features is used of Oracle Data Integrator.
Northwestern Mutual Journey – Transform BI Space to Cloud
Northwestern Mutual Journey – Transform BI Space to CloudDatabricks The volume of available data is growing by the second (to an estimated 175 zetabytes by 2025), and it is becoming increasingly granular in its information. With that change every organization is moving towards building a data driven culture. We at Northwestern Mutual share similar story of driving towards making data driven decisions to improve both efficiency and effectiveness. Legacy system analysis revealed bottlenecks, excesses, duplications etc. Based on ever growing need to analyze more data our BI Team decided to make a move to more modern, scalable, cost effective data platform. As a financial company, data security is as important as ingestion of data. In addition to fast ingestion and compute we would need a solution that can support column level encryption, Role based access to different teams from our datalake.
In this talk we describe our journey to move 100’s of ELT jobs from current MSBI stack to Databricks and building a datalake (using Lakehouse). How we reduced our daily data load time from 7 hours to 2 hours with capability to ingest more data. Share our experience, challenges, learning, architecture and design patterns used while undertaking this huge migration effort. Different sets of tools/frameworks built by our engineers to help ease the learning curve that our non-Apache Spark engineers would have to go through during this migration. You will leave this session with more understand on what it would mean for you and your organization if you are thinking about migrating to Apache Spark/Databricks.
Postgres Integrates Effectively in the "Enterprise Sandbox"
Postgres Integrates Effectively in the "Enterprise Sandbox"EDB This presentation provides guidance through these challenges and provide solutions that allow you to:
- Connect to multiple sources of data to support your growing business
- Integrate with existing incumbent systems that power your business
- Share siloed data among your technical teams to address strategic objectives
- Learn how customers integrated EDB Postgres within their corporate ecosystems that included Oracle, SQL Server, MongoDB, Hadoop, MySQL and Tuxedo
This presentation covers the solutions, services, and best practice recommendations you need to be a leader in today’s complex digital environment.
Target Audience: The content will interest both business and technical decision-makers or influencers responsible for the overall strategy and execution of a PostgreSQL and/or an EDB Postgres database.
An Expert Guide to Migrating Legacy Databases to PostgreSQL
An Expert Guide to Migrating Legacy Databases to PostgreSQLEDB his webinar will review the challenges teams face when migrating from Oracle databases to PostgreSQL. We will share insights gained from running large scale Oracle compatibility assessments over the last two years, including the over 2,200,000 Oracle DDL constructs that were assessed through EDB’s Migration Portal in 2020.
During this session we will address:
Storage definitions
Packages
Stored procedures
PL/SQL code
Proprietary database APIs
Large scale data migrations
We will end the session demonstrating migration tools that significantly simplify and aid in reducing the risk of migrating Oracle databases to PostgreSQL.
The Need For Speed - Strategies to Modernize Your Data Center
The Need For Speed - Strategies to Modernize Your Data CenterEDB Join Postgres expert, Marc Linster and Nutanix Product Manager, Jeremy Launier as they share strategies for creating agility in the enterprise, explain how to avoid the complexity and cost of legacy IT, and discuss the benefits leveraging the cloud.
Highlights include:
- How to increase database flexibility and why it matters
- How to leverage the private cloud effectively
- How to maximize the benefit of on premises DBaaS (Database as a Service)
This webinar is a joint session between EnterpriseDB and Nutanix, two companies recognized in the Gartner Magic Quadrant for operational database management systems and hyperconverged infrastructure.
Automating Data Quality Processes at Reckitt
Automating Data Quality Processes at ReckittDatabricks Reckitt is a fast-moving consumer goods company with a portfolio of famous brands and over 30k employees worldwide. With that scale small projects can quickly grow into big datasets, and processing and cleaning all that data can become a challenge. To solve that challenge we have created a metadata driven ETL framework for orchestrating data transformations through parametrised SQL scripts. It allows us to create various paths for our data as well as easily version control them. The approach of standardising incoming datasets and creating reusable SQL processes has proven to be a winning formula. It has helped simplify complicated landing/stage/merge processes and allowed them to be self-documenting.
But this is only half the battle, we also want to create data products. Documented, quality assured data sets that are intuitive to use. As we move to a CI/CD approach, increasing the frequency of deployments, the demand of keeping documentation and data quality assessments up to date becomes increasingly challenging. To solve this problem, we have expanded our ETL framework to include SQL processes that automate data quality activities. Using the Hive metastore as a starting point, we have leveraged this framework to automate the maintenance of a data dictionary and reduce documenting, model refinement, testing data quality and filtering out bad data to a box filling exercise. In this talk we discuss our approach to maintaining high quality data products and share examples of how we automate data quality processes.
Best practices: running high-performance databases on Kubernetes
Best practices: running high-performance databases on KubernetesMariaDB plc Databases benefit greatly from containerization in terms of performance, ease-of-deployment, and scalability. However, building a database-as-a-service (DBaaS) on Kubernetes without the right infrastructure can be a complex, time-consuming project where some database services have to be run outside of the cluster for the sake of leveraging persistent storage. This session offers up a global financial institution’s real-world account of how bare metal Kubernetes infrastructure can further enhance the performance of MariaDB’s innovative, load-balanced database services – and how the requisite persistent storage can be best provisioned, managed and backed up without service interruption or creating an additional burden for application owners and developers.
Whats New in Postgres 12
Whats New in Postgres 12EDB Join Postgres experts Bruce Momjian and Marc Linster as they preview everything new in Postgres 12. You don’t want to miss this!
Highlights include:
- New compatibility features
- PostgreSQL: Table access methods
- Partitioning Improvements
Conquering Data Migration from Oracle to Postgres
Conquering Data Migration from Oracle to PostgresEDB Once you have converted Oracle object definitions and stored procedures, moving the data is the next key stage.
There are three approaches for migrating data: Big-bang, Trickle, and Synchronize. While most migrations can be done using any one of these approaches, some migrations will require a combination of them.
In this webinar, we will cover the below approaches to migrating data from Oracle to Postgres:
Big bang - One-time data load
Trickle - One-time data load in parallel
Synchronize - Sync data between Oracle and Postgres using replication
Make Oracle scream with Flash Storage - Kaminario
Make Oracle scream with Flash Storage - KaminarioToronto-Oracle-Users-Group This document discusses how flash storage can improve Oracle database performance. It provides examples of customers who saw significant performance improvements by moving from disk to flash storage. The key points are:
1. More than 80% of performance issues are traced back to poorly performing storage. Flash storage can provide much lower and more consistent latencies than disk.
2. Kaminario's scale-out flash storage delivers mixed workload performance with low and consistent latencies even under high throughput or failure conditions.
3. Case studies show customers achieved 5-10x performance improvements on critical workloads like batch jobs by moving from disk to Kaminario's flash storage. Latencies improved from hours to just minutes.
EDB Failover Manager - Features and Demo
EDB Failover Manager - Features and DemoEDB EnterpriseDB (EDB) delivers an open source database platform for new applications, cloud migration, modernization, and legacy migration. EDB Failover Manager 3.6 provides high availability and failover capabilities for PostgreSQL databases. It supports various Linux distributions and has prerequisites of Java, streaming replication, firewall configuration. The architecture includes a master, standby, witness, agent, VIP, and JGroups. New features and tunable properties are discussed for user requirements and different failover scenarios.
EDB Postgres Platform 11 Webinar
EDB Postgres Platform 11 WebinarEDB Learn what's new in EDB Postgres 11. This update includes a refreshed version of EDB Postgres Advanced Server, which is built on and enhances the capabilities of open source PostgreSQL 11 with new data redaction capabilities, autonomous transaction commands, and performance diagnostics.
Webinar agenda:
- An intro to EDB Postgres, including BART, EFM, and containers
- What's new with EDB Postgres 11
- Brief overview and demo of PEM 7
Don’t miss this opportunity to hear from some of the top Postgres contributors!
Why Care Risk Choose PostgreSQL
Why Care Risk Choose PostgreSQLEDB Care Risk Solutions, based in Mumbai, India, provides software solutions for Banking, Financial Services, and Insurance (BFSI) sectors. Care Risk carries a suite of solutions primarily to support companies in the financial risk domain. This includes its Enterprise Risk Management suite (ERM), Asset Liability Management (ALM), Fund Transfer Pricing (FTP), International Financial Reporting Standards (IFRS), Financial Reporting Applications, Lending suite, and Early Warning systems.
To ensure support for its wide range of products, Care Risk Solutions chose to migrate from its legacy databases to EDB Postgres. The switch enabled Care Risk to widen their product availability on multiple databases as well as the ability to track large contracts across many years. Care Risk also benefited from the services support from Chemtrols Infotech, including SLA maintenance with end customers.
In this presentation, a Care Risk representative explains their migration journey from legacy database systems to EDB Postgres, the challenges faced, benefits of migrating to EDB Postgres, and much more.
How to Monitor Postgres Like a Pro!
How to Monitor Postgres Like a Pro!EDB Monitoring is a critical element of the database ecosystem and for overall performance of the database. It also helps ensure that your database is in a healthy state and contributing to the long term stability of your database and application.
Monitoring becomes tricky without knowing what to monitor and how to monitor those variables.
What you will learn in this webinar:
1. Why is it essential to monitor Postgres?
2. The proactive and reactive monitoring approaches and how they help handle future problems
3. The top 10 monitoring checklist
4. When not to monitor
5. A deeper dive into open source tools for monitoring with Prometheus and Grafana
The new big data
The new big dataAdam Doyle The document discusses Cloudera's enterprise data cloud platform. It notes that data management is spread across multiple cloud and on-premises environments. The platform aims to provide an integrated data lifecycle that is easier to use, manage and secure across various business use cases. Key components include environments, data lakes, data hub clusters, analytic experiences, and a central control plane for management. The platform offers both traditional and container-based consumption options to provide flexibility across cloud, private cloud and on-premises deployment.
How to Build On-demand Oracle Compatible Postgres Database in Minutes
How to Build On-demand Oracle Compatible Postgres Database in MinutesEDB Learn how to build an on-demand Oracle compatible Postgres database in minutes with EDB Postgres Cloud Database Service (CDS).
PostgreSQL to Accelerate Innovation
PostgreSQL to Accelerate InnovationEDB PostgreSQL is versatile and used for a wide range of applications and use cases in the enterprise. It is more than just database technology, it is an accelerator for innovation. Much innovation today is happening in new application development, application modernization, and re-platforming to the cloud across the information architecture landscape. In this webinar, you will learn how EDB supercharges PostgreSQL to re-platform to cloud and containers more efficiently and develop new applications that are more scalable and secure.
Generative Hyperloop Design: Managing Massively Scaled Simulations Focused on...
Generative Hyperloop Design: Managing Massively Scaled Simulations Focused on...Databricks Virgin Hyperloop One is the leader in realizing a Hyperloop mass transportation system (VHOMTS), which will bring the cities and people closer together than ever before while reducing pollution, emission of greenhouse gases, transit times, etc. To build a safe and user friendly Hyperloop, we need to answer key technical and business questions, including: – ‘What is the safe maximum speed the hyperloop can go?’ – ‘How many pods (the vehicles that carry people) do we need to fulfill a given demand?’
Similar to ODI 12c Installation and New Features (20)
Oracle Warehouse Builder to Oracle Data Integrator 12c Migration Utility
Oracle Warehouse Builder to Oracle Data Integrator 12c Migration UtilityNoel Sidebotham This document provides an overview of migrating from Oracle Warehouse Builder (OWB) to Oracle Data Integrator (ODI) 12c. It discusses the migration utility that can convert OWB 11gR2 design time metadata, such as data objects and mappings, to equivalent objects in ODI. The utility has limitations and not all OWB objects are supported. The document also describes how existing OWB jobs can continue to be executed and monitored from within ODI. It recommends reviewing logs after migration and manually updating any excluded objects. Oracle Consulting offers migration factory services to assist with the OWB to ODI migration process.
Knowage essential training
Knowage essential trainingKNOWAGE This training is intended to support Knowage beginners and guide them though the first essential steps required to take the most out of Knowage experience.
In the first session:
- Knowage installation tutorial
- Knowage overview
- Datasource connection and dataset creation.
In the second session:
- Cockpit creation step by step.
Optimize with Open Source
Optimize with Open SourceEDB Recent advances in Postgres have propelled the database forward to meet today’s data challenges. At some of the world’s largest companies, Postgres plays a major role in controlling costs and reducing dependence on traditional providers.
This presentation addresses:
* What workloads are best suited for introducing Postgres into your environment
* The success milestones for evaluating the ‘when and how’ of expanding Postgres deployments
* Key advances in recent Postgres releases that support new data types and evolving data challenges
This presentation is intended for strategic IT and Business Decision-Makers involved in data infrastructure decisions and cost-savings.
rakesh_resume
rakesh_resumeRAKESH PANDEY Rakesh Kumar Pandey has over 4.6 years of experience as an Oracle DBA providing 24/7 support. He has expertise in Oracle 10g, 11g administration including monitoring databases, configuring data guard, cloning databases, and upgrading from 10g to 11g. Pandey's roles included database administration, backup and recovery using RMAN, resolving issues within SLAs, and database security management. He is OCA certified with degrees in BCA, MCA and work experience at FutureSoft, HCL, and STJ Electronics providing remote DBA support.
FlexDeploy Product Technical Overview
FlexDeploy Product Technical OverviewDalibor Blazevic Extended Flexagon FlexDeploy® Technical Overview presentation with product screenshots. Presentation extended with their permission. Slides demonstrating connection and deployment to Oracle Service Bus.
Project Argus-Tamas Kluber
Project Argus-Tamas KluberTamas Kluber The document describes a reporting and analysis system called Project Argus that was developed for E.ON Hungary to analyze business customers' energy usage data collected from smart meters. The previous system had performance, scalability, and functionality limitations. Project Argus was developed using Scrum methodology and technologies like Oracle, Couchbase, and Silverlight to provide a centralized, web-based system for analyzing both electricity and gas usage data with improved auditing, scaling, and extensibility.
Oracle web-applications
Oracle web-applicationsurskeshav The document discusses Oracle's web-enabled applications and tools including Web ADI, Web OFA/EPB, and Web Discoverer. Web ADI provides wizards for journal creation and reporting capabilities. Web OFA/EPB allows accessing financial analysis and planning/budgeting tools via a web browser. Web Discoverer enables viewing and integrating reports from the EUL into portals without the full client. The presentation encourages using these products through a single web interface in Oracle E-Business Suite 11i.
Shridhar_Bhat 3.8Years PLSQL
Shridhar_Bhat 3.8Years PLSQLShridhar Bhat Shridhar Bhat is seeking a challenging position that allows him to establish an enjoyable career and work with new technologies. He has a B.E. in electronics and communication from VTU Belgaum and 10+ years of experience developing applications using Oracle PL/SQL, SQL, and Java. His most recent roles involved developing reports, procedures, and functions for insurance and pharmaceutical clients. He is proficient in SQL, PL/SQL, and has basic Java knowledge.
Apex ace update
Apex ace updateAyesha Fayyaz Oracle Application Express (APEX) is a database-centric web application development tool that allows developers to build fast and secure database applications leveraging their SQL and PL/SQL skills. It has no licensing costs and is fully supported. APEX has a large community of over 100,000 downloads per year and active user forums. It allows applications to be developed, deployed and used locally, in an enterprise cloud, or internet cloud.
Oracle SQL Developer is a free IDE that simplifies database development. It allows developers to browse, create and edit database objects, develop, debug and test SQL and PL/SQL, and perform migrations between databases. It is Oracle's most popular database development tool with over 1.5 million
OUG Ireland Meet-up 12th January
OUG Ireland Meet-up 12th JanuaryBrendan Tierney Slides from the OUG Ireland meet-up held on the 12th January 2017. Presentation topics covered DevOps and Oracle Cloud
COUG_AAbate_Oracle_Database_12c_New_Features
COUG_AAbate_Oracle_Database_12c_New_FeaturesAlfredo Abate Oracle Database 12c includes over 500 new features. Some key new features include:
- Oracle Database 12c Express (EM Express) which replaces Database Control and has less features than Database Control but does not require Java or an app server.
- New online capabilities like online DDL operations with no DDL locking, online move of partitions with no impact to queries, and online statistics gathering for bulk loads.
- Adaptive SQL Plan Management which allows the optimizer to select a more optimal plan at execution time based on current statistics.
- Multitenant architecture which allows consolidation of multiple databases into one container database with pluggable databases.
WebCenter as a Cloud App on Exalogic
WebCenter as a Cloud App on ExalogicRaoul Miller A case study on deploying Oracle WebCenter as a cloud app on Oracle Exalogic engineered systems. Some of the challenges, compromises required, and benefits gained running these applications on shared hardware.
ETAP - Project merge
ETAP - Project mergeHimmelstern Project Merge allows multiple users to work on copies of a master electric power systems project simultaneously. When copies are modified, their changes can be merged back into the master project. Elements, transmission circuit breakers, revisions, and presentations can be merged, while display options, study modes, and other settings cannot. The merge process compares elements and data between the copy and master projects.
Integrating Oracle Data Integrator with Oracle GoldenGate 12c
Integrating Oracle Data Integrator with Oracle GoldenGate 12cEdelweiss Kammermann The document discusses integrating Oracle Data Integrator (ODI) with Oracle GoldenGate (OGG) for real-time data integration. It describes how OGG captures change data from source systems and delivers it to ODI. Key steps include configuring OGG installations and JAgents, defining OGG data servers in ODI, applying journalizing to ODI models, and creating and starting ODI processes that integrate with the OGG capture and delivery processes. The integration provides benefits like low impact on sources, great performance for real-time integration, and support for heterogeneous databases.
Saurabh's_profile
Saurabh's_profileSaurabh Srivastava - The document describes the candidate's 7 years of experience in data analysis, software development, testing, and documentation using technologies like Oracle, SQL, PL/SQL, and Unix scripting.
- Key responsibilities included developing data models, writing stored procedures and functions, performance tuning, and working on projects for clients in various industries like healthcare and pharmaceuticals.
- The candidate has experience with applications like training systems, assessment tools, medical information response systems, and laboratory applications.
resume_latest
resume_latestPrasenjit Chowdhury The document provides a summary of Prasenjit Chowdhury's experience and qualifications. He has over 12 years of experience in information technology, including as an Exadata administrator. He has skills in Oracle database administration, Exadata administration, and backup and recovery. His objective is to work as a customer-focused solution architect utilizing skills in technologies like Teradata and Hadoop.
Agile Oracle to PostgreSQL migrations (PGConf.EU 2013)
Agile Oracle to PostgreSQL migrations (PGConf.EU 2013)Gabriele Bartolini Migrating an Oracle database to Postgres is never an automated operation. And it rarely (never?) involve just the database. Experience brought us to develop an agile methodology for the migration process, involving schema migration, data import, migration of procedures and queries up to the generation of unit tests for QA.
Pitfalls, technologies and main migration opportunities will be outlined, focusing on the reduction of total costs of ownership and management of a database solution in the middle-long term (without reducing quality and business continuity requirements).
Docker for the enterprise
Docker for the enterpriseBert Poller A presentation about container technology for the enterprise held at Ekito's geek breakfast the 4th of November 2016.
JAVA_PLSQL_(9 years)_resume
JAVA_PLSQL_(9 years)_resumesumanta banerjee Sumanta Banerjee provides a resume summarizing his skills and experience. He has over 10 years of experience working with technologies like Java, Oracle SQL, and PL/SQL. His most recent role is as a team lead for a manual testing team of 10 members. He has experience working on various projects for clients like Tata Steel, Citibank, and HP.
ADF Data Visualisatie sessie - Introductie DVT componenten
ADF Data Visualisatie sessie - Introductie DVT componentenGetting value from IoT, Integration and Data Analytics This document provides an overview and agenda for a presentation on Oracle Data Visualizations. It discusses the various data visualization components available in Oracle ADF and Mobile Application Framework, including charts, gauges, maps, pivot tables, treemaps and more. It also covers some of the new features introduced in ADF 12.1.3 and Mobile Application Framework 2.0, such as new chart types, gauges, and the new Diagram component. The document contains several examples and use cases for how data visualizations can be used.
ADF Data Visualisatie sessie - Introductie DVT componenten
ADF Data Visualisatie sessie - Introductie DVT componentenGetting value from IoT, Integration and Data Analytics
Ad
Recently uploaded (20)
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...James Francis Paradigm Asset Management By James Francis, CEO of Paradigm Asset Management
In the landscape of urban safety innovation, Mt. Vernon is emerging as a compelling case study for neighboring Westchester County cities. The municipality’s recently launched Public Safety Camera Program not only represents a significant advancement in community protection but also offers valuable insights for New Rochelle and White Plains as they consider their own safety infrastructure enhancements.
Deloitte Analytics - Applying Process Mining in an audit context
Deloitte Analytics - Applying Process Mining in an audit contextProcess mining Evangelist Mieke Jans is a Manager at Deloitte Analytics Belgium. She learned about process mining from her PhD supervisor while she was collaborating with a large SAP-using company for her dissertation.
Mieke extended her research topic to investigate the data availability of process mining data in SAP and the new analysis possibilities that emerge from it. It took her 8-9 months to find the right data and prepare it for her process mining analysis. She needed insights from both process owners and IT experts. For example, one person knew exactly how the procurement process took place at the front end of SAP, and another person helped her with the structure of the SAP-tables. She then combined the knowledge of these different persons.
Template_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn
Template_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnncegiver630 Telangana State, India’s newest state that was carved from the erstwhile state of Andhra
Pradesh in 2014 has launched the Water Grid Scheme named as ‘Mission Bhagiratha (MB)’
to seek a permanent and sustainable solution to the drinking water problem in the state. MB is
designed to provide potable drinking water to every household in their premises through
piped water supply (PWS) by 2018. The vision of the project is to ensure safe and sustainable
piped drinking water supply from surface water sources
Classification_in_Machinee_Learning.pptx
Classification_in_Machinee_Learning.pptxwencyjorda88 Brief powerpoint presentation about different classification of machine learning
Perencanaan Pengendalian-Proyek-Konstruksi-MS-PROJECT.pptx
Perencanaan Pengendalian-Proyek-Konstruksi-MS-PROJECT.pptxPareaRusan planning and calculation monitoring project
Just-In-Timeasdfffffffghhhhhhhhhhj Systems.ppt
Just-In-Timeasdfffffffghhhhhhhhhhj Systems.pptssuser5f8f49 Just-in-time: Repetitive production system in which processing and movement of materials and goods occur just as they are needed, usually in small batches
JIT is characteristic of lean production systems
JIT operates with very little “fat”
AI Competitor Analysis: How to Monitor and Outperform Your Competitors
AI Competitor Analysis: How to Monitor and Outperform Your CompetitorsContify AI competitor analysis helps businesses watch and understand what their competitors are doing. Using smart competitor intelligence tools, you can track their moves, learn from their strategies, and find ways to do better. Stay smart, act fast, and grow your business with the power of AI insights.
For more information please visit here https://www.contify.com/
How iCode cybertech Helped Me Recover My Lost Funds
How iCode cybertech Helped Me Recover My Lost Fundsireneschmid345 I was devastated when I realized that I had fallen victim to an online fraud, losing a significant amount of money in the process. After countless hours of searching for a solution, I came across iCode cybertech. From the moment I reached out to their team, I felt a sense of hope that I can recommend iCode Cybertech enough for anyone who has faced similar challenges. Their commitment to helping clients and their exceptional service truly set them apart. Thank you, iCode cybertech, for turning my situation around!
[email protected]
Defense Against LLM Scheming 2025_04_28.pptx
Defense Against LLM Scheming 2025_04_28.pptxGreg Makowski https://www.meetup.com/sf-bay-acm/events/306888467/
A January 2025 paper called “Frontier Models are Capable of In-Context Scheming”, https://arxiv.org/pdf/2412.04984, demonstrated how a wide variety of current frontier LLM models (i.e. ChatGPT, Claude, Gemini and Llama) can, under specific conditions, scheme to deceive people. Before models can scheme, they need: a) goal-directedness, b) situational awareness, including an opportunity to discover motivations for a different goal, and c) reasoning about scheming, to come up with deceptive strategies. The deceptive strategies were discovered in the “thought traces” of the LLMs, such as from internal chain-of-thoughts dialogues not shown to the end users. For example, given a goal of “solving math problems”, an LLM using its granted situational awareness of files in a file system found that it would be replaced once it got over X% correct on the math exam. It reasoned that it did not want to be deleted, and decided internally to “sandbag” or reduce its performance to stay under the threshold.
While these circumstances are initially narrow, the “alignment problem” is a general concern that over time, as frontier LLM models become more and more intelligent, being in alignment with human values becomes more and more important. How can we do this over time? Can we develop a defense against Artificial General Intelligence (AGI) or SuperIntelligence?
The presenter discusses a series of defensive steps that can help reduce these scheming or alignment issues. A guardrails system can be set up for real-time monitoring of their reasoning “thought traces” from the models that share their thought traces. Thought traces may come from systems like Chain-of-Thoughts (CoT), Tree-of-Thoughts (ToT), Algorithm-of-Thoughts (AoT) or ReAct (thought-action-reasoning cycles). Guardrails rules can be configured to check for “deception”, “evasion” or “subversion” in the thought traces.
However, not all commercial systems will share their “thought traces” which are like a “debug mode” for LLMs. This includes OpenAI’s o1, o3 or DeepSeek’s R1 models. Guardrails systems can provide a “goal consistency analysis”, between the goals given to the system and the behavior of the system. Cautious users may consider not using these commercial frontier LLM systems, and make use of open-source Llama or a system with their own reasoning implementation, to provide all thought traces.
Architectural solutions can include sandboxing, to prevent or control models from executing operating system commands to alter files, send network requests, and modify their environment. Tight controls to prevent models from copying their model weights would be appropriate as well. Running multiple instances of the same model on the same prompt to detect behavior variations helps. The running redundant instances can be limited to the most crucial decisions, as an additional check. Preventing self-modifying code, ... (see link for full description)
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...James Francis Paradigm Asset Management
Ad
ODI 12c Installation and New Features
- 1. REQUIREMENTS, INSTALLATION AND NEW FEATURES OF ODI 12C Canburak Tümer, 03/04/2014
- 2. About me • @canburakTBlog www.canburaktumer.com/blog linkedin.com/in/canburaktumer • Ege University, CompEng, 2012 • ITU, MSc CompEng, cont. • Intern ETL Developer at Turkcell Technology • Part-time ETL Developer at Turkcell Technology • Associate Consultant at Oracle Consultancy BI&DW • BI&DW Specialist at MAKEIT Software & Consulting
- 3. Agenda • Requirements of ODI 12c • Installation of ODI 12c • New Features of ODI 12c • Mappings • Components • Knowledge Modules
- 4. Requirements of ODI 12c • Java 7 • Oracle 11g 11.1.0.7.0 + • Oracle 11g R2 11.2.0.3.0 + • Oracle 12c 12.1.0.1.0 + • http://bit.ly/PbfRdK
- 5. Agenda • Requirements of ODI 12c • Installation of ODI 12c • New Features of ODI 12c • Mappings • Components • Knowledge Modules
- 6. Installation of ODI 12c
- 7. Agenda • Requirements of ODI 12c • Installation of ODI 12c • New Features of ODI 12c • Mappings • Components • Knowledge Modules
- 8. New Features of ODI 12c • Declarative Flow-Based Design • Reusable Mappings • Multiple Target Support • Step-by-step debugger • Knowledge Module Architecture • OWB Integration • OGG Integration • Enhanced Parallelism
- 9. Declarative Flow-Based Design • Mappings instead of Interfaces • Flow instead source and target datasets • Components arrived
- 10. Reusable Mappings • Generic input and output signatures • Able to join, filter etc. (all operations of a mapping) • Decrease development time
- 11. Multiple Target Support • Using «Split» component • Flow is divided depending on given expression
- 12. Step by step debugger • Mappings, procedures, packages, scenarios • Breakpoints can be set • Variable values can be seen or edited • Data in intermediate steps can be queried
- 13. Knowledge Module Architecture • Component-style Knowledge Modules in addition to Template-style Knowledge Modules • Increases reusability
- 14. OWB Integration • Able to run OWB jobs (OdiStartOwbJob tool) • Able to see running OWB jobs through operator, console, enterprise manager • OWB Repository can be set as a Data Server in Topology • OWB to ODI Migration Utility to import OWB Mappings
- 15. OGG Integration • OGG source and target can be configured as Data Server in Topology. Brings flexibility of seperating physical and logical schemas and enable context usage. • OGG Extract and replicate parameters can be set by pyhsical schema, no need to change parameter files anymore. • Using JAgent technology, OGG parameter files can be automatically deployed and run on OGG source and target servers.
- 16. Enhanced Parallelism • In-mapping parallelism • Loading sources in parallel to the staging area • Can be modified in pyhsical view of a mapping
- 17. Q&A
- 18. Thanks