7 Steps to High-Velocity Data Analytics with DataOps
DataOps architecture and processes enable teams to deliver new business insights through the rapid development and deployment of innovative, error-free data analytic pipelines. In this presentation, Chris will cover why and how companies are implementing DataOps and achieving tremendous success. He’ll provide practical steps to get up and running with DataOps at your organization, including how to add tests, modularize and containerize, branch and merge, use multiple environments, parameterize your process, use simple storage, and use multiple workflows to deploy to production with efficiency. He will 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.