Oracle data integrator 12c - getting started

Jan 31, 20172 likes1,869 views

Oracle Data Integrator (ODI) is a data integration tool that can extract, load, and transform heterogeneous data sources. It is flexible and uses a flow-based mapping approach. The presentation provided an overview of ODI and guidance on installation, configuration, and getting started with the developer quickstart to create models, schemas, and mappings between data stores. Key components like knowledge modules generate integration code, while packages and load plans orchestrate the data integration processes.

Oracle Data Integrator 12c: Getting Started
Michael Rainey | BIWA Summit 2017

• Michael Rainey - Technical Advisor
• Spreading the good word about Gluent  
products with the world
• Oracle Data Integration expertise
• Oracle ACE Director
• mRainey.co
2
Introduction
we liberate enterprise data

4
Many conference presentations get too technical, too fast

• E-LT (Extract, Load, Transform) vs ETL
• Heterogeneous sources and targets
• Built to integrate all data
• Flexibility
• Reusable code templates  
(Knowledge Modules)
• Open API
• ODI can adapt to your data warehouse - and not the other way around
• Flow based mappings
6
What is ODI?

7
Where did ODI come from?
Early 2000s: Sunopsis
formed
2006:
Oracle acquires Sunopsis.
2010:
Oracle Data Integrator
11g released. Oracle’s
first real update to ODI.
Late 2013:
Oracle Data Integrator
12c released, combining
ODI and OWB features.
2012:
ODI for Big Data
first released

8
ODI 12c Architecture and Components
*image source: https://docs.oracle.com/middleware/1221/odi/concepts/img/architecture.png

• Know the different types of installs
• Standard - used for Standalone Agent or
on client machine (ODI Studio only)
• Enterprise - JEE Agent or Colocated Agent,
ODI Console, FMC plugin
10
Choose your installation type wisely

11
Configuration is half the battle
CONFIGURATION

• ODI_HOME/odi/studio/odi.sh|exe
• Connect to existing repository
• If none exists, run RCU first
• Boom, you’re in!
12
ODI Studio Configuration

• ODI_HOME/oracle_common/common/bin/config.sh|exe
• Run the WebLogic Server configuration wizard
• Standalone Agent
• Create domain outside of ODI Oracle Home
• JEE Agent
• Add credentials mapping
• Create / configure admin server, nodemanager, 
topology, etc.
13
Standalone / JEE Agent Configuration

• Data Server
• Connection to the data source
• Physical Schema
• Database schema
• Work schema
• Logical Schema
• Abstracts the physical connection/schema from the logical
• Development occurs against the Logical Schema
• Model
• Metadata object tied to Logical Schema
• Represents database schema, file directory, XML document, etc
• Datastore
• Logical representation of table, file, XML element, etc.
15
Topology, Contexts, Models, and Datastores - Oh my!
All of these objects must
be created and setup
prior to any mapping
development can occur.

• There’s another way to get started - quickly!
• New Model and Topology Objects wizard -
ODI 12.1.3
• In ODI 11g, the ODI QuickStart was a 10 step
checklist, where each step led to another
section in the documentation
16
Developer’s Quickstart

18
Mappings - Logical
Datastore
component
Join
component
Split output to
multiple target
tables
Mappings are built from
datastore and components
to logically form the ETL

19
Mappings - Physical
Physical implementations of the
mappings are represented based
on location of the datastore.
Knowledge Modules are selected
to generate the code.

20
Knowledge Modules - The secret sauce
*image source: Fusion Middleware Developing Knowledge Modules with Oracle Data Integrator

• It’s time for a refresher on Oracle Data Integrator
• Oracle Data Integrator is…
• an E-LT / data integration tool
• built to integrate all data
• flexible. ODI can adapt to your data warehouse - and not the other way around
• Choose your installation wisely and understand configuration is more
involved
• Many objects must be created prior to Mapping development
• Use the Developer’s Quickstart!
• More info: mRainey.co/odi12c-getting-started
22
Recap

23
we liberate enterprise data
thank you!

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.

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A data warehouse (DW) migration is no small undertaking, especially when moving from on-premises to the cloud. A typical data warehouse has numerous data sources connecting and loading data into the DW, ETL tools and data integration scripts performing transformations, and reporting, advanced analytics, or ad-hoc query tools accessing the data for insights and analysis. That’s a lot to coordinate and the data warehouse cannot be migrated all at once. Using a data replication technology such as Oracle GoldenGate, the data warehouse migration can be performed incrementally by keeping the data in-sync between the original DW and the new, cloud DW. This session will dive into the steps necessary for this incremental migration approach and walk through a customer use case scenario, leaving attendees with an understanding of how to perform a data warehouse migration to the cloud. Presented at RMOUG Training Days 2019

Continuous Data Replication into Cloud Storage with Oracle GoldenGateMichael Rainey

Continuous flow. Streaming. Near real-time. These are all terms used to identify the business’s need for quick access to data. It’s a common request, even if the data must flow from on-premises to the cloud. Oracle GoldenGate is the data replication solution built for fast data. In this session, we’ll look at how GoldenGate can be configured to extract transactions from the Oracle database and load them into a cloud object store, such as Amazon S3. There are many different use cases for this type of continuous load of data into the cloud. We’ll explore these solutions and the various tools that can be used to access and analyze the data from the cloud object store, leaving attendees with ideas for implementing a full source-to-cloud data replication solution. Presented at ITOUG Tech Days 2019

SQL on Hadoop for the Oracle ProfessionalMichael Rainey

There is a fundamental shift underway in IT to include open, software defined, distributed systems like Hadoop. As a result, every Oracle professional should strive to learn these new technologies or risk being left behind. This session is designed specifically for Oracle database professionals so they can better understand SQL on Hadoop and the benefits it brings to the enterprise. Attendees will see how SQL on Hadoop compares to Oracle in areas such as data storage, data ingestion, and SQL processing. Various live demos will provide attendees with a first-hand look at these new world technologies. Presented at Collaborate 18.

Going Serverless - an Introduction to AWS GlueMichael Rainey

Going "serverless" is the latest technology trend for enterprises moving their processing to the cloud, including data integration and ETL tools. But what does that mean and when should I use serverless ETL? In this session, we'll dive into the world of Amazon's fully managed data processing service called AWS Glue. With no server to provision or resources to allocate, and an easy to populate metadata catalog, AWS Glue allows the data engineer to focus on his or her craft; building data transformations and pipelines. Gaining an understanding of the similarities and differences between traditional ETL tools, such as Oracle Data Integrator, and Glue will prepare attendees for the new world of data integration. Presented at Collaborate 18.

Offload, Transform, and Present - the New World of Data IntegrationMichael Rainey

How much time and effort (and budget) do organizations spend moving data around the enterprise? Unfortunately, quite a lot. These days, ETL developers are tasked with performing the Extract (E) and Load (L), and spending less time on their craft, building Transformations (T). This changes in the new world of data integration. By offloading data from the RDBMS to Hadoop, with the ability to present it back to the relational database, data can be seamlessly integrated between different source and target systems. Transformations occur on data offloaded to Hadoop, using the latest ETL technologies, or in the target database, with a standard ETL-on-RDBMS tool. In this session, we’ll discuss how the new world of data integration will provide focus on transforming data into insightful information by simplifying the data movement process. Presented at Enkitec E4 2017.

Oracle GoldenGate and Apache Kafka A Deep Dive Into Real-Time Data StreamingMichael Rainey

This document provides an overview and summary of a presentation on integrating Oracle GoldenGate and Apache Kafka for real-time data streaming. It introduces the speaker, describes Rittman Mead as a specialist in Oracle data integration and analytics, and outlines the challenges of integrating new data sources. The bulk of the document then dives into a step-by-step example of using GoldenGate to replicate transactional data from an Oracle database to Kafka in real-time via Kafka's publish-subscribe capabilities.

Oracle GoldenGate and Apache Kafka A Deep Dive Into Real-Time Data StreamingMichael Rainey

We produce quite a lot of data. Some of this data comes in the form of business transactions and is stored in a relational database. This relational data is often combined with other non-structured, high volume and rapidly changing datasets known in the industry as Big Data. The challenge for us as data integration professionals is to then combine this data and transform it into something useful. Not just that, but we must also do it in near real-time and using a big data target system such as Hadoop. The topic of this session, real-time data streaming, provides us a great solution for that challenging task. By combining GoldenGate, Oracle’s premier data replication technology, and Apache Kafka, the latest open-source streaming and messaging system for big data, we can implement a fast, durable, and scalable solution. This session will walk through the implementation of GoldenGate and Kafka. Presented at Collaborate16 in Las Vegas.

A Walk Through the Kimball ETL Subsystems with Oracle Data Integration - Coll...Michael Rainey

Big Data integration is an excellent feature in the Oracle Data Integration product suite (Oracle Data Integrator, GoldenGate, & Enterprise Data Quality). But not all analytics require big data technologies, such as labor cost, revenue, or expense reporting. Ralph Kimball, an original architect of the dimensional model in data warehousing, spent much of his career working to build an enterprise data warehouse methodology that can meet these reporting needs. His book, "The Data Warehouse ETL Toolkit", is a guide for many ETL developers. This session will walk you through his ETL Subsystem categories; Extracting, Cleaning & Conforming, Delivering, and Managing, describing how the Oracle Data Integration products are perfectly suited for the Kimball approach. Presented at Collaborate16 in Las Vegas.

Practical Tips for Oracle Business Intelligence Applications 11g ImplementationsMichael Rainey

The document provides practical tips for Oracle Business Intelligence Applications 11g implementations. It discusses scripting installations and configurations, LDAP integration challenges, implementing high availability, different methods for data extracts, and simplifying disaster recovery. Specific tips include scripting all processes, configuring the ODI agent JVM and connection pools for performance, understanding external LDAP authentication in ODI, implementing active-active high availability for ODI agents, choosing the right data extract method based on latency and volume, and using DataGuard and CNAMEs to simplify failover for disaster recovery.

GoldenGate and Oracle Data Integrator - A Perfect Match- Upgrade to 12cMichael Rainey

- The document discusses upgrading Oracle GoldenGate 11g and Oracle Data Integrator 11g to their 12c versions. It provides an overview of the steps to upgrade each product including preparing the source and target systems, installing 12c, updating supplemental logging, and finalizing the upgrade by altering processes to write a new sequence number. It also discusses using the convprm tool to convert GoldenGate parameter files during the upgrade process.

Real-Time Data Replication to Hadoop using GoldenGate 12c AdaptorsMichael Rainey

Oracle GoldenGate 12c is well known for its highly performant data replication between relational databases. With the GoldenGate Adaptors, the tool can now apply the source transactions to a Big Data target, such as HDFS. In this session, we'll explore the different options for utilizing Oracle GoldenGate 12c to perform real-time data replication from a relational source database into HDFS. The GoldenGate Adaptors will be used to load movie data from the source to HDFS for use by Hive. Next, we'll take the demo a step further and publish the source transactions to a Flume agent, allowing Flume to handle the final load into the targets. Presented at the Oracle Technology Network Virtual Technology Summit February/March 2015.

Tame Big Data with Oracle Data IntegrationMichael Rainey

In this session, Oracle Product Management covers how Oracle Data Integrator and Oracle GoldenGate are vital to big data initiatives across the enterprise, providing the movement, translation, and transformation of information and data not only heterogeneously but also in big data environments. Through a metadata-focused approach for cataloging, defining, and reusing big data technologies such as Hive, Hadoop Distributed File System (HDFS), HBase, Sqoop, Pig, Oracle Loader for Hadoop, Oracle SQL Connector for Hadoop Distributed File System, and additional big data projects, Oracle Data Integrator bridges the gap in the ability to unify data across these systems and helps deliver timely and trusted data to analytic and decision support platforms. Co-presented with Alex Kotopoulis at Oracle OpenWorld 2014.

Real-time Data Warehouse Upgrade – Success StoriesMichael Rainey

Providing a real-time BI solution for its global customers and operations department is a necessity for IFPI, the International Federation of the Phonographic Industry, whose primary objective is to safeguard the rights of record producers through various anti-piracy strategies. For the data warehousing team at IFPI, using Oracle Streams and Oracle Warehouse Builder (OWB) for real-time data replication and integration was becoming a challenge. The solution was difficult to maintain and overall throughput was degrading as data volumes increased. The need for greater stability and performance led IFPI to implement Oracle GoldenGate and Oracle Data Integrator. Co-presented with Nick Hurt at Rittman Mead BI Forum 2014 and KScope14.

A Picture Can Replace A Thousand WordsMichael Rainey

We all have business user requirements that drive our data warehouse and business intelligence system implementation. Delivered in various formats, these documents, emails, chats, or meeting minutes can be interpreted many different ways, depending on the reader. An effective approach to end the miscommunication...draw a picture. When properly constructed, an architecture diagram, data model, or process model will have only a single meaning. That is why a picture can replace a thousand words. Presented as a TED style talk at Rittman Mead BI Forum 2014.

GoldenGate and Oracle Data Integrator - A Perfect Match...Michael Rainey

Oracle Data Integrator and Oracle GoldenGate excel as standalone products, but paired together they are the perfect match for real-time data warehousing. Following Oracle’s Next Generation Reference Data Warehouse Architecture, this discussion will provide best practices on how to configure, implement, and process data in real-time using ODI and GoldenGate. Attendees will see common real-time challenges solved, including parent-child relationships within micro-batch ETL. Presented at Rittman Mead BI Forum 2013 Masterclass.

GoldenGate and ODI - A Perfect Match for Real-Time Data WarehousingMichael Rainey

Data warehouse migration to oracle data integrator 11gMichael Rainey

Pacific Northwest National Laboratory migrated their data warehouse from SQL Server and Visual Basic to Oracle Data Integrator. They developed a SQL parsing tool and used the ODI SDK to programmatically build ODI objects from the SQL metadata, automating the migration of over 4,900 packages. This minimized implementation risks and allowed them to complete the migration in a fraction of the originally estimated 2-3 years. The automated approach reduced human errors and is now used for ongoing operations.

A Walk Through the Kimball ETL Subsystems with Oracle Data IntegrationMichael Rainey

KScope14 - Real-Time Data Warehouse Upgrade - Success StoriesMichael Rainey

Providing real-time data to its global customers is a necessity for IFPI (International Federation of the Phonographic Industry), a not-for-profit organization with a mission to safeguard the rights of record producers and promote the value of recorded music. Using Oracle Streams and Oracle Warehouse Builder (OWB) for real-time data replication and integration, meeting this goal was becoming a challenge. The solution was difficult to maintain and overall throughput was degrading as data volume increased. The need for greater stability and performance led IFPI to implement Oracle GoldenGate and Oracle Data Integrator. This session will describe the innovative approach taken to complete the migration from a Streams and OWB implementation to a more robust, maintainable, and performant GoldenGate and ODI integrated solution.

Data Warehouse - Incremental Migration to the CloudMichael Rainey

Continuous Data Replication into Cloud Storage with Oracle GoldenGateMichael Rainey

SQL on Hadoop for the Oracle ProfessionalMichael Rainey

Going Serverless - an Introduction to AWS GlueMichael Rainey

Offload, Transform, and Present - the New World of Data IntegrationMichael Rainey

Oracle GoldenGate and Apache Kafka A Deep Dive Into Real-Time Data StreamingMichael Rainey

A Walk Through the Kimball ETL Subsystems with Oracle Data Integration - Coll...Michael Rainey

Practical Tips for Oracle Business Intelligence Applications 11g ImplementationsMichael Rainey

GoldenGate and Oracle Data Integrator - A Perfect Match- Upgrade to 12cMichael Rainey

Real-Time Data Replication to Hadoop using GoldenGate 12c AdaptorsMichael Rainey

Tame Big Data with Oracle Data IntegrationMichael Rainey

Real-time Data Warehouse Upgrade – Success StoriesMichael Rainey

A Picture Can Replace A Thousand WordsMichael Rainey

GoldenGate and Oracle Data Integrator - A Perfect Match...Michael Rainey

GoldenGate and ODI - A Perfect Match for Real-Time Data WarehousingMichael Rainey

Data warehouse migration to oracle data integrator 11gMichael Rainey

A Walk Through the Kimball ETL Subsystems with Oracle Data IntegrationMichael Rainey

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Oracle data integrator 12c - getting started

1. Oracle Data Integrator 12c: Getting Started Michael Rainey | BIWA Summit 2017

2. • Michael Rainey - Technical Advisor • Spreading the good word about Gluent   products with the world • Oracle Data Integration expertise • Oracle ACE Director • mRainey.co 2 Introduction we liberate enterprise data

3. Why “Getting Started”

4. 4 Many conference presentations get too technical, too fast

5. What is ODI?

6. • E-LT (Extract, Load, Transform) vs ETL • Heterogeneous sources and targets • Built to integrate all data • Flexibility • Reusable code templates   (Knowledge Modules) • Open API • ODI can adapt to your data warehouse - and not the other way around • Flow based mappings 6 What is ODI?

7. 7 Where did ODI come from? Early 2000s: Sunopsis formed 2006: Oracle acquires Sunopsis. 2010: Oracle Data Integrator 11g released. Oracle’s first real update to ODI. Late 2013: Oracle Data Integrator 12c released, combining ODI and OWB features. 2012: ODI for Big Data first released

8. 8 ODI 12c Architecture and Components *image source: https://docs.oracle.com/middleware/1221/odi/concepts/img/architecture.png

9. Installation and Configuration

10. • Know the different types of installs • Standard - used for Standalone Agent or on client machine (ODI Studio only) • Enterprise - JEE Agent or Colocated Agent, ODI Console, FMC plugin 10 Choose your installation type wisely

11. 11 Configuration is half the battle CONFIGURATION

12. • ODI_HOME/odi/studio/odi.sh|exe • Connect to existing repository • If none exists, run RCU first • Boom, you’re in! 12 ODI Studio Configuration

13. • ODI_HOME/oracle_common/common/bin/config.sh|exe • Run the WebLogic Server configuration wizard • Standalone Agent • Create domain outside of ODI Oracle Home • JEE Agent • Add credentials mapping • Create / configure admin server, nodemanager,  topology, etc. 13 Standalone / JEE Agent Configuration

14. Getting Started

15. • Data Server • Connection to the data source • Physical Schema • Database schema • Work schema • Logical Schema • Abstracts the physical connection/schema from the logical • Development occurs against the Logical Schema • Model • Metadata object tied to Logical Schema • Represents database schema, file directory, XML document, etc • Datastore • Logical representation of table, file, XML element, etc. 15 Topology, Contexts, Models, and Datastores - Oh my! All of these objects must be created and setup prior to any mapping development can occur.

16. • There’s another way to get started - quickly! • New Model and Topology Objects wizard - ODI 12.1.3 • In ODI 11g, the ODI QuickStart was a 10 step checklist, where each step led to another section in the documentation 16 Developer’s Quickstart

17. Mappings

18. 18 Mappings - Logical Datastore component Join component Split output to multiple target tables Mappings are built from datastore and components to logically form the ETL

19. 19 Mappings - Physical Physical implementations of the mappings are represented based on location of the datastore. Knowledge Modules are selected to generate the code.

20. 20 Knowledge Modules - The secret sauce *image source: Fusion Middleware Developing Knowledge Modules with Oracle Data Integrator

21. 20 Knowledge Modules - The secret sauce *image source: Fusion Middleware Developing Knowledge Modules with Oracle Data Integrator

22. 20 Knowledge Modules - The secret sauce *image source: Fusion Middleware Developing Knowledge Modules with Oracle Data Integrator

23. Orchestration Packages and Load Plans

24. • It’s time for a refresher on Oracle Data Integrator • Oracle Data Integrator is… • an E-LT / data integration tool • built to integrate all data • flexible. ODI can adapt to your data warehouse - and not the other way around • Choose your installation wisely and understand configuration is more involved • Many objects must be created prior to Mapping development • Use the Developer’s Quickstart! • More info: mRainey.co/odi12c-getting-started 22 Recap

25. 23 we liberate enterprise data thank you!

Oracle data integrator 12c - getting started

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