skip to Main Content

StreamSets Data Integration Blog

Where change is welcome.

Adaptive Data Integration and Operations on Oracle Cloud using StreamSets

By October 17, 2018

StreamSets is pleased to announce a new partnership with Oracle Cloud Infrastructure (OCI). As enterprises move their big data workloads to the cloud, it becomes imperative that their approach to data integration is more resilient and adaptive to continue to serve the business’s needs.  This is why StreamSets Data Collector™ is now easily deployable on OCI for adaptive data integration and operations.

What led us to this point?  There are fundamental questions such as ‘What good is an Enterprise Data Hub (EDH) without the most current data?’ ‘What good is the EDH without lots of data sources feeding it?’ which leads to the follow up questions of  ‘How do you manage data engineering as quickly as software development in a fast-paced DevOps world?’ ‘How do you manage change-data-capture (CDC) from Oracle, streaming log files, and batch SFTP dumps without using large and confusing toolsets?’  

To answer all of these questions, StreamSets has created the first complete DataOps (DevOps for data integration) platform to compliment the fail-fast world of DevOps toolsets that are commonly found in places like a cloud-based EDH deployment. Running StreamSets in the Oracle Cloud to support a Cloudera Enterprise Data Hub (EDH) provides an excellent example of DevOps being applied to data to harness the value of a big data project.

Back To Top