Blog
The Data Quality Coffee Series With Uncle Chip
Pull up a chair, pour yourself a fresh cup, and get ready to talk shop—because it’s time for Data Quality Coffee Series with Uncle Chip.
Data Quality When You Don’t Understand the Data: Data Quality Coffee With Uncle Chip #3
You can’t test for what you don’t understand. And so, we don’t. We skip it. We assume. Or worse, we wait until something breaks. What is the solution? Uncle Chip tells!
Why We Open-Sourced Our Data Observability Products
Introducing DataKitchen’s Open Source Data Observability Software Today, we announce that we have open-sourced two complete, feature-rich products that solve the data observability problem: DataOps Observervability and DataOps TestGen. With these two products, you...
Webinar Summary: Agile, DataOps, and Data Team Excellence
The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. Gil Benghiat, co-founder of Data Kitchen, began...
Congratulations to the Karuna Team for their acquisition!
Today, Bristol Myers Squib (BMS) has fully acquired Karuna Therapeutics. We congratulate our customer on their fantastic success. Their product, KarXT, an antipsychotic, is revolutionary and is lined up for an FDA Prescription Drug User Fee Act (PDUFA) in September...
Embracing Agility and Excellence in Data Operations: The DataKitchen DataOps Way
Embracing Agility and Excellence in Data Operations: The DataKitchen DataOps Way When the founders of DataKitchen met, it was at a company that offered a managed service for healthcare insights and data. Initially, their customer found data errors, the team...
Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software
Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or...
ngx-toolkit, a new open-source project from DataKitchen
ngx-toolkit, a new open-source project from DataKitchen At DataKitchen, we use Angular and strive for well-tested and maintainable code. We’ve created three libraries that have helped accelerate Angular development in our software projects. We are proud today to...
Why Not Hearing About Data Errors Should Worry Your Data Team
Why Not Hearing About Data Errors Should Worry Your Data Team In the chaotic lives of data & analytics teams, a day without hearing of any data-related errors is a blessing. Your team is on top of things, deliveries are on schedule (you think), and no major...
Your LLM Needs a Data Journey: A Comprehensive Generative AI Guide for Data Engineers
Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. LLMs have the potential...
DataKitchen Resource Guide To Data Observability & DataOps
DataKitchen Resource Guide To Data Observability & DataOps DataKitchen Open Source Data Observability Download, Install, Overview, and Quickstart Blog: Why Open Source Webinar: Introduction To Open Source Data (and Analytic) Observability & Data Journey –...
The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams
The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is "Per Alios Culpa Transfertur" (Blame is Transferred to Others). In the world of data...
ON DEMAND WEBINAR: Beyond Data Observability
Navigating the Chaos of Unruly Data: Solutions for Data Teams
The Perilous State of Today’s Data Environments Data teams often navigate a labyrinth of chaos within their databases. The core issue plaguing many organizations is the presence of out-of-control databases or data lakes characterized by: Unrestrained Data Changes:...
