What is the full range of data quality validation tests for data at rest and data in use? Linguistics provides an organizing principle: syntax, semantics, and pragmatics
Introducing The Five Pillars Of Data Journeys
The “Five Pillars of Data Journeys” outline a comprehensive approach to tracking and monitoring data across its lifecycle.
Why the Data Journey Manifesto?
Why the Data Journey Manifesto?
So why another manifesto in the world? Really? Why should I care?
Webinar Summary: Data Mesh and Data Products
Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Bergh started by discussing the complexity within data and analytics teams, stating that complexity makes everything more complicated and, in the long run, it kills productivity.
ON-DEMAND WEBINAR: Data Products and Data Mesh
All the cool kids are talking about Data Products and Data Mesh. The data companies have gotten ahold of terms and started to say their twenty-year-old ETL tools are the perfect tools to do that fashionable product-meshy stuff. What is going on?
Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms
In the webinar “Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms,” James Royster, Vice President of Commercial Operations, Insights, and Analytics at Karuna Therapeutics, shared his insights on leading efficient and effective data analytics teams.
ON-DEMAND WEBINAR: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms
James guides us through years of experience working in data, giving insight to many customers and leading highly efficient and effective teams. Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms
Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team
You spend all day helping your customers leverage analytics for improved business performance, so why are you so un-analytic about how you run your data analytics teams? Where is your data and analytic team metrics report?
Only One Problem To Solve for Successful Data and Analytics
The real problem in data analytics is that teams need to
deliver insight to their customers without error
put new ideas into production rapidly
minimize their ‘insight manufacturing’ expenses
… all at the same time
A summary of Gartner’s recent DataOps-driven data engineering best practices article
Gartner released the article “5 Ways to Enhance Your Data Engineering Practices.” By Robert Thanaraj, Ehtisham Zaidi, and 2 more. DataKitchen gives its perspective.
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Announcing Open Source DataOps Data Quality TestGen 3.0February 20, 2025
