Oracle has expanded its data integration offerings with the launch of the Oracle Data Integrator Cloud. According to the company, this new service significantly simplifies and accelerates cross-enterprise data integration to support real-time analytics that help organisations drive better business decisions.
As more and more data moves to the cloud, getting information and insight to the right people and the right applications at the right time becomes progressively more difficult. The introduction of the Oracle Data Integrator Cloud aims to enable organisations to improve their agility by deploying projects more quickly, reduce risk with an open, non-proprietary technology, and reduce costs with better productivity.
“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,” said Jeff Pollock, vice president of product management, Oracle. “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.”
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. The services’ high performance architecture, with its E-LT capabilities and advanced parallelism options enable faster, more efficient loading and transformation for data marts, data warehouses, and big data systems.
The service is fully integrated with Oracle’s PaaS offerings, and also delivers pre-built integration for non-Oracle solutions. This allows users to “seamlessly switch” between underlying Big Data technologies such as Hive, HDFS, HBase, and Sqoop.
