Thriving data cultures prioritize inclusion, collaboration, and transparency over command and control. They work iteratively vs. trying to "boil the ocean." But of course, this is easier said than done, right?
Dec 2022 How to fuel innovation with agile data governance
Accelerating the delivery of data applications is at the top of the to-do list for many enterprises. That requires overcoming friction in your data architecture, managing complex requirements, and handling a variety of semantics challenges.
Join Tim, Juan, and Chris Bergh from Data Kitchen for a conversation about DataOps. The trio will look at how this emerging data management methodology can improve the flow of knowledge within data teams.
How to create the right DataOps culture
Measuring the value of your DataOps strategy
Worst reason you’ve been called into work on your day off
DataOps is a misnomer; It’s more about acting on the data, instead of the data itself.
Learn to love your errors.
Start a quality circle; when something screws up, write it down. Share it.
We have to embrace friction. It's fine if we don't agree. Let's be transparent about this. Otherwise, we're just going to be hiding those skeletons in the closet."
-Chris Bergh, DataKitchen
See the catalog for data discovery, governance, access, and analysis.