All Resources
ngx-toolkit, a new open-source project from DataKitchen
Why Not Hearing About Data Errors Should Worry Your Data Team
Your LLM Needs a Data Journey: A Comprehensive Generative AI Guide for Data Engineers
DataKitchen Resource Guide To Data Observability & DataOps
The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams
ON DEMAND WEBINAR: Beyond Data Observability
Navigating the Chaos of Unruly Data: Solutions for Data Teams
ON DEMAND WEBINAR: Data Observability Demo Day
The Need For Personalized Data Journeys for Your Data Consumers
War Rooms Suck
Data Teams and Their Types of Data Journeys
Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability
ON DEMAND WEBINAR: Automated Test Generation – Why Data Teams Need It
How DataOps is Transforming Commercial Pharma Analytics
Announcing the DataOps Cookbook, Third Edition
A Summary Of Gartner’s Recent Innovation Insight Into Data Observability
The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure
The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing
Data Journey First DataOps
DataOps TestGen – ‘Mystery Box Full Of Data Errors’
DataOps TestGen – Technical Product Overview
Introducing The Five Pillars Of Data Journeys
Why the Data Journey Manifesto?
UPCOMING WEBINAR: Automated Test Generation – Why Data Teams Need It
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