Solve the Analytics Last-Mile Problem with a DataOps Process Hub
Despite having world-class data engineers and the industry’s best-in-class toolchain, why is it still so hard to answer analytic questions?
Don’t blame your staff or tools. The lack of analytics agility is most likely due to poor processes and workflows.
The solution is a DataOps Process Hub – a place to centralize and optimize the processes that act upon the data for the purpose of rapidly answering questions and quickly deploying high-quality insight.
In this on-demand webinar, DataKitchen's Chip Bloche & Chris Bergh will discuss how a ‘Process Hub’ creates a win-win for both centralized IT and analytics teams. In addition to sharing an example of a real-life DataOps process hub in action, Chip and Chris will cover how a Process Hub:
- Solves the analytics ‘last-mile’ problem;
- Complements, not replaces, your IT investment; &
- Prioritizes automation & reduces reliance on an army of consultants.
About the Speakers
Charles Bloche is a Data Engineering Director at DataKitchen. Chip joined DataKitchen as a DataOps chef in 2018 leading a team of DataOps Engineers. He has more than 30 years of experience in designing OLTP Database Applications, Systems Integration and Data Warehouse Design, and Data Engineering for Business Intelligence and Machine Learning applications. Chip has a B.A. from Harvard University.
Christopher Bergh is CEO & Head Chef at DataKitchen, a DataOps platform provider. Chris has more than 30 years of research, software engineering, data analytics & executive management experience. At various points in his career, he has been a COO, CTO, VP & Director of Engineering. He is a recognized expert on DataOps & speaks about DataOps at many industry conferences. Chris is the co-author of The DataOps Manifesto, The DataOps Cookbook & Recipes for DataOps Success. You can follow him on Twitter @ChrisBergh.