Speaker "Christopher Bergh" Details Back
-
Name
Christopher Bergh
-
Company
Datakitchen
-
Designation
CEO
Topic
Seven Steps to High-Velocity Data Analytics with DataOps
Abstract
To paraphrase an old saying: “It takes a village to get insights from data.” Data analysts, data scientists, and data engineers are already working in teams delivering insight and analysis, but how do you get the team to support experimentation and insight delivery without ending up in an IT versus data engineer versus data scientist war? Christopher Bergh and Gil Benghiat present the seven shocking steps to get these groups of people working together. These seven steps contain practical, doable steps that can help you achieve data agility. After looking at trends in analytics and a brief review of Agile, Christopher and Gil outline the steps to apply DevOps techniques from software development to create an Agile analytics operations environment, including how to add tests, modularize and containerize, do branching and merging, use multiple environments, parameterize your process, use simple storage, and use multiple workflows deploy to production with W. Edwards Deming efficiency. They also explain why “don’t be a hero” should be the motto of analytic teams—emphasizing that while being a hero can feel good, it is not the path to success for individuals in analytic teams. Christopher and Gil’s goal is to teach analytic teams how to deliver business value quickly and with high quality. They illustrate how to apply Agile processes to your department. However, a process is not enough. Walking through the seven shocking steps will demonstrate how to create a technical environment that truly enables speed and quality by supporting DataOps.