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 tool, environment, data store, team, and customer so that problems are detected and addressed immediately.
On Demand Webinar: Map And Monitor Your Data Journey
Chris Bergh shares how to do a Data Journey in the on-demand webinar!
DataKitchen DataOps Observability Technical Product Overview
“Stick Little Thermometers in your Data Journeys”
The first step in solving your data team’s pain is to observe what’s happening with your data and analytics ‘estate’ and
stick little thermometers at various points in the process.
DataOps Observability: Taming the Chaos (Part 2)
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, data store, team, and customer so that problems are detected and addressed immediately.
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. I know how tempting it can be to take shortcuts when you’re under pressure. But trust me when I say that it’s not worth it.
Podcast: Scaling DataOps
Map and Monitor Your Data Journey
Can you draw a map of all the paths data takes from source systems to production insight delivery? How many tools, technologies, configurations, and paths do your data take during its production process? What is the ‘run-time lineage’ of data in your organization?
DataOps Observability: Taming the Chaos (Part 1)
This is the first 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, data store, team, and customer so that problems are detected and addressed immediately. DataKitchen has released the first version of its Observability product, which implements the concepts described in this series.
DataOps Risk Insurance & Mission Control
Chris Bergh shares how to manage data quality and pipeline risk through implementing a ‘Mission Control’ center for DataOps