Oracle

Oracle Data Integrator Cloud Service

Oracle is aggressively re-engineering all of their popular suite of products over to cloud. Among several cloud offerings that Oracle announced at Oracle OpenWorld 2016 is Oracle Data Integration. Many of you may already be familiar with Oracle Data Integrator. Now, the same product is re-engineered to work in the cloud with several additional capabilities to fully leverage the benefits of the Cloud platform.

With Oracle Data Integration you can easily move data to the Cloud for Data Warehousing and Analytics. The biggest advantage is, it executes data transformation where the data lies without having to copy data unnecessarily over to remote locations.

Data Intelligence - The Future of Big Data
The Future of Big Data

With some guidance, you can craft a data platform that is right for your organization’s needs and gets the most return from your data capital.

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Oracle Data Integrator Cloud Service delivers high-performance data movement and transformation capabilities with its open and integrated E-LT architecture and provides extensive support for heterogeneous integration:

  • Integrate with Oracle on-premises or in the Cloud with Oracle PaaS as Database Cloud Service or Big Data Cloud Service
  • Integrate with Salesforce, SAP, Amazon’s Redshift, Hadoop, Spark and several others

This provides quicker implementation and superior productivity with a flow-based declarative user interface. The user experience is simple yet powerful enough. It seamlessly reuses mapping logic to speed up the development process.

Want to learn more? Talk to our Perficient BI Team to get more insight into the product.

About the Author

Raghu is the Senior Technical Architect of Perficient's National Oracle Business Intelligence Practice. He has extensive experience in architecting, designing, developing, and delivering enterprise software solutions, and commercial software products from concept to market. His area of expertise includes application programming, SOA, microservices, integrations, cloud and BI implementation. He has worked for several fortune 500 companies in his career and successfully led several projects from inception to completion by maintaining high quality standards. He has experience working with cross-cultural teams ensuring optimal utilization of resources. He has several certifications across multiple technologies from Oracle, AWS, Microsoft, and Redhat.

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