DevOps and Big Data: Rapid Prototyping for Data Science and Analytics

Presented by

Krishna Mayuram, Lead Architect for Big Data, Cisco; Anant Chintamaneni, VP of Products, BlueData

About this talk

Watch this on-demand webinar with Cisco and BlueData to learn how to deliver greater agility and flexibility for Big Data analytics with Big-Data-as-a-Service. Your data scientists and developers want the latest Big Data tools for iterative prototyping and dev/test environments. Your IT teams need to keep up with the constant evolution of new tools including Hadoop, Spark, Kafka, and other frameworks. The DevOps approach is helping to bridge this gap between other developers and IT teams. Can DevOps agility and automation be applied to Big Data? In this webinar, we discussed: -A way to extend the benefits of DevOps to Big Data, using Docker containers to provide Big-Data-as-a-Service. -How data scientists and developers can spin up instant self-service clusters for Hadoop, Spark, and other Big Data tools. -The need for next-generation, composable infrastructure to deliver Big-Data-as-a-Service in an on-premises deployment. -How BlueData and Cisco UCS can help accelerate time-to-deployment and bring DevOps agility to your Big Data initiative.

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