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.
A Data Prediction for 2025
What will the world of data tools be like at the end of 2025? The crazy idea is that data teams are beyond the boom decade of “spending extravagance” and need to focus on doing more with less.
Podcast: Discovering Data: Build a little, test a little, learn a lot
You can’t talk to your stakeholders if your pipelines are down. You can’t get good quality sleep if your data products brake in the middle of the night. You can’t earn the trust of your stakeholders if it takes you weeks to make even the smallest change without braking things
“You Complete Me,” said Data Lineage to DataOps Observability.
The benefits of a long-lasting relationship between DataOps Observability and data lineage can help give a complete view of your data operations. Both tools help deliver more trusted insight to your customer.
The Terms and Conditions of a Data Contract are Data Tests
Data contracts are a new idea for data and analytic team development to ensure that data is transmitted accurately and consistently between different systems or teams. The Terms and Conditions of a Data Contract are Automated Production Data Tests.
An AI Chat Bot Wrote This Blog Post …
We asked an AI Chat Bot (https://chat.openai.com/chat) a few questions about DataOps. It got a bit silly at the end.
Gartner Market Guide to DataOps Software
Gartner released its ‘Market Guide to DataOps Tools’ The document they wrote is exceptionally close to what DataKitchen sees in the market and what our products do! Here is our take on the guide.
DataOps Observability and Automation to the Rescue!
Feeling overwhelmed by your data job? Don’t worry, DataOps is here to help! This post discusses how DataOps Observability and Automation can relieve team stress and show you how to get started.