Wayne Eckerson discusses the critical capabilities required for DataOps success and how to compare different vendors’ DataOps offerings
Jumpstart Your DataOps Program with DataKitchen’s Lean DataOps
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.
A Day in the Life of a DataOps Engineer
DataKitchen’s DataOps Engineers Priyanjna Sharma & Chip Bloche discuss what DataOps Engineering entails, key skills required & when to add one to your data team
A Chat with Randy Bean on His Book, Fail Fast, Learn Faster
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.
DataOps: The Foundation for Your Agile Data Architecture
Learn about four data architectures patterns for agility – DataOps, Data Fabric, Data Mesh & Functional Data Engineering – & an example combining all four.
DevOps Is Not DataOps
Arvind Murali, Intelligent Data podcast host, interviews DataKitchen CEO Chris Bergh about how DataOps helps improve the speed of data & analytics deployment.
Why DataOps Matters in the Data Value Chain
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.
DataOps Should Be Part of Everyone on the Data Team
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.
DataOps with Chris Bergh
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.
Operationalizing Machine Learning at Scale with MLOps
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.
