DataOps is on the rise at enterprises looking to bring improved quality and reduced cycle times to data analytics. Borrowing from Agile Development, DevOps and statistical process control, this new methodology is poised to revolutionize data analytics with its eye on the entire data lifecycle. However, improving the flow of data between managers and consumers within an organization through greater communication, integration, and automation is no simple task, and it requires process changes as well as enabling technologies.

Watch this special roundtable webinar hosted by DBTA to educate IT decision-makers and practitioners about the key success factors and emerging best practices in DataOps today.

 

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