Wayne Eckerson discusses the critical capabilities required for DataOps success and how to compare different vendors’ DataOps offerings
Start DataOps Today with ‘Lean DataOps’
Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. An essential part of the DataOps methodology is Agile Development, which breaks development into incremental...
DataOps is the Factory that Supports Your Data Mesh
Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in...
What Should Enterprises Do to Offset Future Technology Disruption?
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.
Big Data 50: Companies Driving Innovation
AIOps Benefits All Aspects of the Enterprise
DataOps engineers run toward error and automate it away
Implementing a Pharma Data Mesh using DataOps
Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a...
4 Ways Conversational AI Is Improving the Customer Experience
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Announcing Open Source DataOps Data Quality TestGen 3.0February 20, 2025
