Wayne Eckerson discusses the critical capabilities required for DataOps success and how to compare different vendors’ DataOps offerings
Adopting DataOps can be easy; by following DataKitchen’s ‘Lean DataOps’ four-phase program, you can roll out DataOps in smaller, easy-to-manage increments.
DataKitchen’s DataOps Engineers Priyanjna Sharma & Chip Bloche discuss what DataOps Engineering entails, key skills required & when to add one to your data team
Chris Bergh chats with author Randy Bean about his book, Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data & AI.
Learn about four data architectures patterns for agility – DataOps, Data Fabric, Data Mesh & Functional Data Engineering – & an example combining all four.
Arvind Murali, Intelligent Data podcast host, interviews DataKitchen CEO Chris Bergh about how DataOps helps improve the speed of data & analytics deployment.
Samir Sharma, host of The Data Strategy Show podcast & CEO of datazuum, chats with DataKitchen CEO Chris Bergh about how DataOps stitches together data teams.
Data Transformers podcast hosts Peggy Tsai & Ramesh Dontha chat with DataKitchen CEO Chris Bergh about how DataOps should be 10% of every data team member’s job.
Joe Reis, host of the Data Nerd Herd podcast & Ternary Data CEO & Co-Founder, interviews DataKitchen CEO Chris Bergh about what DataOps is & why it matters.
MLOps.community leader Demetrios Brinkmann chats with DataKitchen CEO Chris Bergh about the benefits of Data Science teams doing MLOps to pull the pain forward.