What is DataOps?

Abstract:
DataOps is a collection of technical practices, workflows and architectural patterns that help with Rapid innovations.
The best way to explain DataOps is to explore the problems it is trying to solve, and describe an example.
In this talk Tony (Entrepreneur and former Googler) will help us break down DataOps and how it applies to Automation, Observability and Data Governance.
Bio:
Tony is an entrepreneur, a customer success leader, and an aspiring musician.
Tony founded AdaptiveScale to help customers automate BigData infrastructure deployments with [Linux Containers [github.com]](https://www.google.com/url?q=https://urldefense.com/v3/https://github.com/AdaptiveScale/lxdui;!!OjQymYRxHw!-_FCon5vEGq2sCB4nY_S4M7ClSF5dxTnZDm7msiTXqpdP_KtAOCdNK0KV-WNHIo4882tcBq04LjLn1IfS5-VRAg$&source=gmail-imap&ust=1650433354000000&usg=AOvVaw1O7oZ9hcbUZg1fpJ1mx4QG), and now focuses on todays data operations and governance challenges. He's had a successful career helping customers solve BigData challenges working for innovative companies such Cloudera, MongoDB, Cask Data, Google, Kinetica, and more recently DataOps, where he leads Customer Success and Field Engineering operations.
While at Google, Tony blogged extensively on Data Integration with Google Cloud Data Fusion and CDAP. In his free time he enjoys playing guitar and teaching young musicians how to rock!