DataOps Observability and Automation to the Rescue!
Data Team members, have you ever felt overwhelmed? The never-ending flow of new information can be stressful, and it's hard to know where to start. Well, don't worry because DataOps is here to help! In this post, we'll discuss how DataOps Observability and Automation...
DataOps Observability: Taming the Chaos (Part 4)
Part 4: Reviewing the Benefits This is the final post in DataKitchen's four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment,...
Question: What is the difference between Data Quality and DataOps Observability?
Question: What is the difference between Data Quality and Observability in DataOps? Data Quality is static. It is the measure of data sets at any point in time. Data Observability is dynamic -- it is the testing of data, integrated data, and tools acting upon data...
DataOps Observability: Taming the Chaos (Part 3)
Part 3: Considering the Elements of Data Journeys This is the third post in DataKitchen's four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every...
On Demand Webinar: Map And Monitor Your Data Journey
DataKitchen DataOps Observability Technical Product Overview
“Stick Little Thermometers in your Data Journeys”
Question: What is something the data industry is missing? I think it's observability-led DataOps. I've come to believe that we, as an industry, will not change how people build things they've already made. They're already being Heroes and have pain, unhappiness,...
DataOps Observability: Taming the Chaos (Part 2)
Part 2: Introducing Data Journeys This is the second post in DataKitchen's four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment,...
The Perils of Heroic Data Work: Just Say, “Eww.”
The Perils of Heroic Data Work: Just Say, "Eww." We've all been there. You're up against a deadline, working tirelessly to get the job done. But what happens when that "job" leaves a hairball of technical debt that will need to be fixed and improved tomorrow? And what...
