DataOps - Buzz Word or Buzzworthy?

Presented by

Kirk Borne, Principal Data Scientist and Executive, Booz Allen Hamilton

About this talk

With its streamlined approach to developing and delivering software applications, DevOps has dazzled the IT world. Now, DataOps is poised to remake data analytics. It relies on similar cross-functional principles, delivering agile data-based projects through a mix of automation, orchestration, and closer collaboration between once-separate teams. It’s about making sure there’s tight communication, collaboration, and integration between the data team and the operations team. But it’s also important not to have too much communication. It’s not necessary for every small change to have to go through a change review board. When you get hung up on that analysis paralysis, you never get anything done.

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The StreamSets DataOps platform enables companies to build, execute, operate and protect batch and streaming dataflows. It is powered by StreamSets Data Collector, award-winning open source software with approximately 2,000,000 downloads to date from thousands of companies. The commercial StreamSets Control Hub is the platform's cloud-native control plane through which enterprises design, monitor and manage complex data movement that is executed by multiple Data Collectors. Unique Intelligent Pipeline technology automatically inspects the data in motion, detecting unexpected changes, errors and sensitive data in-stream. Global 2000 customers use StreamSets for data lake ingestion, Apache Kafka enablement, cybersecurity, IoT, customer 360, GDPR compliance and more. In 2017, the company tripled its customer count and quadrupled revenues.