On-Demand Webinar

How to Build a Successful

Cloud DataOps Program

 

The major cloud platform vendors offer many valuable tools that support analytics and data science. If you are looking to enable DataOps in your organization, you may be tempted to use these tools. However, relying on cloud DevOps and workflow tools will not fully enable DataOps. In fact, relying on these tools alone will leave significant gaps in your DataOps program.

In this webinar, we’ll discuss the core capabilities required for a successful DataOps program and how a DataOps platform complements the tools provided by cloud vendors, ensuring that you get the most out of your cloud investment. We’ll also specifically cover how to achieve the following DataOps functions in the cloud:

  • Meta-orchestration of both production & development pipelines;
  • Testing & monitoring across the entire analytic system;
  • Automated provisioning & control of self-service data environments for analytic development work;
  • Simple, automated deployment across complex systems;
  • The ability to share reusable data components for enhanced collaboration; &
  • Process analytics to measure process improvements.

 

About the Speaker

Chris Bergh

Chris Bergh is CEO and Head Chef at DataKitchen. He has more than 30 years of research, software engineering, data analytics, and executive management experience. At various points in his career, he has been a COO, CTO, VP, and Director of Engineering. Chris is a recognized expert on DataOps. He is the co-author of The DataOps Cookbook and The DataOps Manifesto, and a speaker on DataOps at many industry conferences.

You can follow Chris on Twitter @Chris Bergh or connect with him on LinkedIn.