Would you like help maintaining high-quality data across every layer of your Medallion Architecture?
Webinar: DataOps For Beginners – 2024
If you’ve ever heard (or had) these complaints about speed-to-insight or data reliability, you should watch our webinar, DataOps for Beginners, on demand.
Podcast: The Data Strategy Show
Discussiing the nasty, brutsh and short tenure of a CDO, and how to make DataOps happen in your organization via bottoms up innovation.
Data Quality Power Moves: Scorecards & Data Checks for Organizational Impact
Webinar: Unlocking the Power of Data Observability and Quality Testing
Podcast: Open Source DataOps Tools on Roaring Elephant (Part 2)
Open Source DataOps Tools on Roaring Elephant (Part 2)
Podcast: Build Perfect DataOps Teams on Roaring Elephant (Part 1)
Build Perfect DataOps Teams on Roaring Elephant (Part 1)
Podcast: DataOps, Observability, and The Cure for Data Team Blues on DataTalks.Club
DataOps, Observability, and The Cure for Data Team Blues – Christopher Bergh on Datatalks.Club
Podcast: The Data Engineering Podcast With Tobias Macy
In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg, CEO of DataKitchen, to discuss his ongoing mission to simplify the lives of data engineers. Chris explains the challenges faced by data engineers, such as constant system failures, the need for rapid changes, and high customer demands. Chris also introduces DataKitchen’s open-source tools, DataOps TestGen and DataOps Observability, designed to automate data quality validation and monitor data journeys in production.
Podcast: Joe Reis Data Engineering
Christopher Bergh talks DataOps, Data Quality, Data Observability and more with Joe Reis.
Podcast: Data Hurdles Poscast
In the fast-paced world of data analytics, where mountains of information are processed daily to derive valuable insights, one man is on a mission to revolutionize how teams work with data. Christopher Bergh, the CEO, Founder, and self-styled “Head Chef” of DataKitchen, is not your typical tech executive. With a background in software development and a passion for efficiency, Bergh has set out to tackle what he sees as the biggest problem in the data industry: waste.
