The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. Is it overkill? Paradox of choice? Or the right tool for the right job? We discuss.
The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing
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
Data Journey First DataOps
‘Data Journey First DataOps’: it’s a revolution in which every data, tool, server, and step becomes part of a meaningful story, enhancing our data initiatives’ overall value, impact, and trust.
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.
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.
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.
