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Using Loading Knowledge Modules for both On-Premise & Cloud Computing - Oracle Data Integrator (ODI) Best Practices

Sandrine Riley
Product Management - Data Integration Solutions at Oracle

More from the A-Team... Thank you Benjamin!

Are you curious about using Loading Knowledge Modules for both on-premise and cloud computing in Oracle Data Integrator (ODI)?  Benjamin has put together some best practices for selecting and using the
Oracle Data Integrator (ODI) Loading Knowledge Modules (LKMs) for both
on-premise and on cloud computing. 

The Loading Knowledge Modules (LKMs) are one of seven categories of Knowledge Modules (KMs) found in ODI.  Other categories of KMs include: Reverse-Engineering, Check, Integration, Extract, Journalizing, and Service.
 This particular article focuses on the selection and use of LKMs.  You can learn more about other categories of KMs, by going to Oracle Data Integrator (ODI) Knowledge Modules (KMs).

LKMs are code templates in ODI that
can perform data upload operations from on-premise data servers to
cloud services, between cloud services, or between on-premise data
servers.  ODI supports a variety of technologies such as SQL databases,
Big Data, Files, Java Messaging Systems (JMSs), and many other
technologies.  Most of these technologies are now available on both
on-premise and on data cloud services.  For each of these technologies,
a variety of LKMs are available.  For instance, ODI offers LKMs for SQL
databases such as Oracle, Teradata, MySQL, MS SQL Server, among
others.  For Big Data, ODI offers LKMs for Spark, Hive, Sqoop, Kafka,
and Pig, among others.

Read Benjamin's post:  Oracle Data Integrator Best Practices: Using Loading Knowledge Modules on both On-Premises and Cloud Computing.

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