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lunes, 12 de diciembre de 2016

Oracle Data Integrator (ODI) Now Available

We are pleased to announce a new release to Oracle Data Integrator (ODI):

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, 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.

For the full review of new functionality, please view the following What’s New Whitepaper