Blog
DataKitchen Enhances Its Support for Data Stewards to Manage Data Quality Tests in TestGen
TestGen is becoming a platform for the people who are actually responsible for data quality in large organizations, not just a tool for engineers who run tests.
$1 Billion in Data Observability VC Investment: This Is Not Going to End Well
VC overinvestment causes predatory usage-based pricing and threatens vendor sustainability. How many data engineers will you need to lay off to cover your data observability costs this year?
Drug Launch Case Study: Amazing Efficiency Using DataOps
A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldn’t be higher....
Webinar: Data Quality in a Medallion Architecture – 2024
Would you like help maintaining high-quality data across every layer of your Medallion Architecture? Like an Olympic athlete training for the gold, your data needs a continuous, iterative process to maintain peak performance. We covered how Data Quality Testing,...
A Guide to the Six Types of Data Quality Dashboards
A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. Data quality dashboards have emerged as indispensable tools, offering a clear window into the...
The Race For Data Quality in a Medallion Architecture
The Race For Data Quality In A Medallion Architecture In the Olympic quest for data quality, the Medallion Data Lakehouse Architecture is the ultimate marathon, where data teams strive to go beyond the Bronze and Silver to take the Gold. Each stage represents a new...
Webinar: DataOps For Beginners – 2024
“That should take two hours, not two months. Can’t your Data & Analytics Team go any faster?”“The executives’ dashboard broke! The data’s wrong! Can I ever trust our data?”If you’ve ever heard (or had) these complaints about speed-to-insight or data...
Read White Paper: Data Quality The DataOps Way
Read Our New White Paper: Data Quality The DataOps Way Data quality isn’t just a technical hurdle—it’s a strategic necessity in the data-driven world. Traditional methods fall short, but the DataOps approach to data quality offers a transformative path forward. It...
Data Quality Power Moves: Scorecards & Data Checks for Organizational Impact
A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. According to DataKitchen’s 2024 market research, conducted...
From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts
From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts Most data teams work with a dozen or a hundred pipelines in production. What do you do when you have thousands of data pipelines in production? How do you understand what is...
Data Quality Circles: The Key to Elevating Data and Analytics Team Performance
Data Quality Circles: The Key to Elevating Data and Analytics Team Performance Introduction: The Pursuit of Quality in Data and Analytic Teams. According to a study by HFS Research, 75 percent of business executives do not have a high level of trust in their data. ...
2024 Gartner Market Guide To DataOps
2024 Gartner Market Guide To DataOps We at DataKitchen are thrilled to see the publication of the Gartner Market Guide to DataOps, a milestone in the evolution of this critical software category. As the pioneer in the DataOps category, we are proud to have laid the...
DataKitchen’s Data Quality TestGen Found 18 Potential Data Quality Issues In A Few Minutes!
DataKitchen’s Data Quality Testgen Found 18 Potential Data Quality Issues In A Few Minutes (Including Install Time) On Data.Boston.Gov Building Permit Data! Imagine a free tool that you can point at any dataset and find actionable data quality issues immediately! It...
Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis
Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis Ah, the data quality crisis. It's that moment when your carefully crafted data pipelines start spewing out numbers that make as much sense as a cat trying to bark. You know you're in...
