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The DataKitchen Blog

DataOps insights, data quality best practices, and product updates from the team.

5 ways CIOs can take their AI project to the next level

5 ways CIOs can take their AI project to the next level

DataKitchen · August 26, 2019

A Pitch for ‘Reality-Based’ Startups

A Pitch for ‘Reality-Based’ Startups

DataKitchen · July 21, 2019

Automated Efficiency and Quality with DataKitchen

Automated Efficiency and Quality with DataKitchen

DataKitchen Marketing Team · July 9, 2019

DataOps Data Architecture

DataOps Data Architecture

DataKitchen Marketing Team · July 3, 2019

Eckerson Group: The Ultimate Guide to DataOps

Eckerson Group: The Ultimate Guide to DataOps

DataKitchen Marketing Team · July 3, 2019

Eckerson Group: Best Practices Report In DataOps

Eckerson Group: Best Practices Report In DataOps

DataKitchen Marketing Team · July 1, 2019

Gartner Research Names DataKitchen “Cool Vendor”

Gartner Research Names DataKitchen “Cool Vendor”

Chris Bergh · June 30, 2019

The Best DataOps Articles Q2 2019

The Best DataOps Articles Q2 2019

DataKitchen Marketing Team · June 29, 2019

451 Group On DataKitchen

451 Group On DataKitchen

Chris Bergh · June 24, 2019

DBTA 100 2019 – The Companies That Matter Most in Data

DBTA 100 2019 – The Companies That Matter Most in Data

DataKitchen · June 12, 2019

Banking On Data (Ops) White Paper

Banking On Data (Ops) White Paper

DataKitchen Marketing Team · June 9, 2019

Surviving and thriving in year three as a chief data officer

Surviving and thriving in year three as a chief data officer

DataKitchen · June 5, 2019

Eckerson Group: Trends in DataOps – Bringing Scale and Rigor to Data and Analytics

Eckerson Group: Trends in DataOps – Bringing Scale and Rigor to Data and Analytics

DataKitchen Marketing Team · May 28, 2019

Introduction to DataOps

Introduction to DataOps

DataKitchen · May 18, 2019

Rearranging Deck Chairs on the Titanic

Rearranging Deck Chairs on the Titanic

DataKitchen Marketing Team · May 15, 2019

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DataKitchen

DataKitchen provides DataOps tools for data quality testing, data observability, and pipeline automation. Founded in 2013 in Cambridge, MA.

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