Sumit Sakar

Sumit Sarkar

Technology researcher, thought leader and speaker working to enable enterprises to rapidly adopt new technologies that are adaptive, connected and cognitive. Sumit has been working in the data access infrastructure field for over 10 years servicing web/mobile developers, data engineers and data scientists. His primary areas of focus include cross platform app development, serverless architectures, and hybrid enterprise data management that supports open standards such as ODBC, JDBC, ADO.NET, GraphQL, OData/REST. He has presented dozens of technology sessions at conferences such as Dreamforce, Oracle OpenWorld, Strata Hadoop World, API World, Microstrategy World, MongoDB World, etc.

Articles by the Author

A Universal Approach to Cloud Integration with ODI
Sumit Sarkar shares how DataDirect Cloud allows the user to better leverage their Oracle Data Integrator with cloud applications.
Sumit Sarkar November 12, 2015
Greenfield Hybrid Data Integration with Salesforce and OData
New technology demands new methods and workflows, and the newest connectivity options from Salesforce are no different. Sumit Sarkar introduces Greenfield Data Integration for consuming external data in Salesforce.
Sumit Sarkar October 01, 2015
Oracle JDBC drivers for WebLogic 12c upgrade
Turn to DataDirect for a commercial Oracle JDBC driver that supports all database versions (8i-12c).
Oracle OBIEE and ODI meet NoSQL MongoDB
Sumit Sarkar reviews his experience at Rittman Mead BI Forum 2015 and shares some tips for making sense of NoSQL data in OBIEE.
Sumit Sarkar May 29, 2015
MicroStrategy and NoSQL MongoDB ODBC Meetup
Last week, I was invited by the local MicroStrategy User Group to talk about making sense of MongoDB data with MicroStrategy. According to my new friends, MongoDB is surfacing in business applications including...
Sumit Sarkar March 11, 2015
DataDirect Redshift Drivers: Million Row Challenge
DataDirect tests a 1M row bulk load of Redshift data.

Can DataDirect Improve Data Performance?

The challenge? Load one million rows of data into Amazon Redshift, a process that usually takes six hours, in less than one. All using my usual tools and no help from an Amazon S3 bucket....
Sumit Sarkar February 09, 2015
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