Chris Bergh

♨️ Webinar: Context Engineering Best Practices Sign Up Today: April 14th, 2026; 12 pm EST / 4 pm GMT hubs.ly/Q049RcSd0 #dataops #dataengineering #dataquality

Data Production Tripwires in Databricks: Stop Bad Data Before It Reaches Production hubs.ly/Q049J0G30 #dataengineering #dataquality #opensource #dataobservability #dataops

♨️ Webinar: Context Engineering Best Practices Sign Up Today: April 14th, 2026; 12 pm EST / 4 pm GMT bit.ly/4vbdCeu #dataops #dataengineering #dataquality

TestGen Now Supports Oracle and SAP HANA, with a New Setup Wizard to Get You Running Fast hubs.ly/Q048Yv5b0 #dataengineering #dataquality #opensource #dataobservability #dataops

DT + DX + CTX = 10x How to Make Data Analysis Ten Times Faster with AI and Large Language Models hubs.ly/Q0496syS0 #dataengineering #dataquality #dataobservability #dataops

Watch the on-demand webinar: The Four Points In Your Medallion Architecture Where Data Testing Really Matters hubs.ly/Q0496FN_0 #dataengineering #dataquality #opensource #dataobservability #dataops

DataKitchen Enhances Its Support for Data Stewards to Manage Data Quality Tests in TestGen hubs.ly/Q048Y7pM0 #dataengineering #dataquality #opensource #dataobservability #dataops

Introducing BuzzOps: A Tool to Translate Vendor BS. You're Welcome. bit.ly/4dVAtoc #humor #Aprilfools

♨️Context Engineering for Success In AI Data Analysis DataKitchen Webinar: April 14th, 2026; 12 pm EST / 4 pm GMT hubs.ly/Q0496sxS0 #dataops #dataengineering #dataquality

Watch today's webinar: The Four Points In Your Medallion Architecture Where Data Testing Really Matters hubs.ly/Q0496G7C0 #dataengineering #dataquality #opensource #dataobservability #dataops

Most data quality advice tells you what to measure. This book explains why your team keeps failing and what to do about it. hubs.ly/Q0496DJX0 #dataengineering #dataquality #opensource #dataobservability

➡️Webinar Today! Learn How To Test In Medallion Data Architectures! Date: March 31st, 2026; 12 pm EST / 4 pm GMT hubs.ly/Q048Lxmc0 #dataengineering #dataquality #opensource #dataobservability #dataops

➡️Webinar Tomorrow! Learn How To Test In Medallion Data Architectures! Date: March 31st, 2026; 12 pm EST / 4 pm GMT hubs.ly/Q048LzfJ0 #dataengineering #dataquality #opensource #dataobservability #dataops

➡️Webinar Tuesday! Learn How To Test In Medallion Data Architectures! Date: March 31st, 2026; 12 pm EST / 4 pm GMT hubs.ly/Q048Ltb20 #dataengineering #dataquality #opensource #dataobservability #dataops

Webinar - Sign Up today! The Four Points In Your Medallion Architecture Where Data Testing Really Matters Date: March 31st, 2026; 12 pm EST / 4 pm GMT hubs.ly/Q048CNs50 #dataengineering #dataquality #opensource #dataobservability #dataops

Claude Code: Revenge of the Old Engineer How AI coding assistants are dismantling tech's youth bias and turning decades of experience into a valuable asset hubs.ly/Q048CHkr0

Webinar - Sign Up today! The Four Points In Your Medallion Architecture Where Data Testing Really Matters Date: March 31st, 2026; 12 pm EST / 4 pm GMT hubs.ly/Q0485k_00 #dataengineering #dataquality #opensource #dataobservability #dataops

$1 Billion in Data Observability and Data Quality VC Investment: This Is Not Going to End Well How many data engineers will you need to lay off to cover your data observability costs this year? hubs.ly/Q0484TxM0 #dataengineering #dataquality #opensource #dataobservability

Try our walk-through demo of DataKitchen Open Source Data Quality Testing, and Data Observability: hubs.ly/Q0479Pz50 #dataengineering #dataquality #opensource #dataobservability #dataops

It's not just that enterprise data quality software is outrageously priced. It's that data quality needs are too often underestimated and underfunded, until it's too late. The fact is that data quality in the real world has to be achievable, affordable, and efficient.

In today's AI-driven world, data quality is no longer a luxury. But most data teams are caught in a vise: the cost of data quality is unrealistic, and the price of failure is unacceptable.