We are pleased to announce a new release to Oracle Data
Integrator (ODI): 12.2.1.2.6.
Oracle Data Integrator (ODI) provides a flexible and
heterogeneous data integration platform for data processing that enables you to
transform, enrich, and govern data for faster, more informed decision-making.
In this release of Oracle Data Integrator, we have further extended our
capabilities in 4 major areas: Big Data, Cloud, Lifecycle Management and
Developer Productivity. Cloud and Big Data remain key investment areas and
ensure that Oracle Data Integrator will continue to accompany customers
throughout their technological transformation. Please visit the following two
links for more information on Oracle Data Integrator (OD): ODI OTN Page, O.com Data Integration Page.
Big Data investments include Spark Streaming support,
Apache Kafka and Apache Cassandra support, enhanced support around Hadoop
Complex Types and Storage Formats in addition to enhancements to ODI’s Big Data
Configuration Wizard. Through its unique decoupling of the Logical and
Physical design of Mappings, Oracle Data Integrator is the only Data
Integration tool on the market giving developers the flexibility to design
Mappings with a generic business logic and then generate code for as many data
processing technologies (Hive, Spark, Spark Streaming etc.) as they want. This
provides a great platform for the ever changing and improved world around Big
Data.
Cloud investments include RESTful Service support, where
Oracle Data Integrator can now invoke RESTful Service. Data chunking and
pagination are also supported for uploading or downloading larger payloads.
Additionally, Business Intelligence Cloud Service (BICS) Knowledge
Modules is now supported out of the box in Oracle Data Integrator. You can
define Business Intelligence Cloud Service connectivity in Topology, reverse
engineer metadata and load data into it just like any other target data server.
Lifecycle Management investments include Git Support
as an external version control system. Other improvements to the overall
lifecycle management functionality have been made, such as the enhanced merge
capability with auto-merging of changes and simplified conflict resolution.
Developer Productivity investments include a superior
Knowledge Module Framework that helps maximize flexibility and minimize
maintenance. You can now inherit steps from a Knowledge Module into another
Knowledge module and override steps like in object oriented programming
languages. There are brand new template languages and syntaxes introduced
providing greater control over the generated code.
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