Oracle Unveils Data Integrator Cloud for Disparate Data
Oracle has announced the launch of Oracle Data Integrator Cloud, expanding the vendor’s cloud integration offering. The new service is supposed to simplify and accelerate Data Integration organizationally to support the deployment of real-time analytics. The new solution enables organizations to improve their agility by implementing projects faster and reduce risk.
Data Integrator Cloud helps organizations improve productivity, reduce development costs, and lower total cost of ownership by facilitating better data movement and transformation between Oracle and other systems, data sources, and applications. It offers a flow-based declarative user interface along with release management capabilities that allow customers to improve productivity and better manage their code, as well as their development, testing and production environments. Oracle Data Integrator Cloud’s architecture, with its E-LT capabilities and advanced parallelism options enable efficient loading and transformation for data marts, data warehouses, and big data systems.
The company’s Vice President of Product Management, Jeff Pollock, speaks to the new release: “To be effective and agile, enterprises need seamless communication and flow of data between sources and targets – data originating from IoT, Web, and business applications or data that is stored in the cloud or on premises. Oracle Data Integrator Cloud provides businesses with a high-performance, simple, and integrated cloud service to execute data transformations where the data lies, with no hand coding required, and without having to copy data unnecessarily.”
Oracle Data Integrator Cloud is fully integrated with their PaaS offerings, including Database Cloud, Database Exadata Cloud, and Big Data Cloud. Oracle also delivers pre-built integration for other non-proprietary solutions, allowing users to switch between underlying Big Data technologies such as Hive, HDFS, HBase, and Sqoop.
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