Why DevOps Tools Fail at DataOps

Why DevOps Tools Fail at DataOps

Implementing DataOps requires a combination of new methods and automation that augment an enterprise’s existing toolchain. The fastest and most effective way to realize the benefits of DataOps is to adopt an off-the-shelf DataOps Platform.   Some organizations try to...

A Note to Our Customers on Covid-19

A Note to Our Customers on Covid-19

On behalf of DataKitchen, we hope that you, your team, and families are staying safe during this difficult time.  DataKitchen’s highest priority is the health and safety of our employees, customers, partners, and their families. Over the last few weeks, we have taken...

DataOps Aphorisms

DataOps Aphorisms

We speak to a lot of people about the ideas behind DataOps.   Sometimes, the shortest phrase captures the idea the best.   The dictionary defines an 'Aphorism; as aph·o·rism /ˈafəˌrizəm/ (noun):a pithy observation that contains a general truth. So we collected many of...

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Monitor every data journey in an enterprise, from source to customer value, in development and production.

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