DataOps, and more recently, Data Products have still only been around for a relatively short period of time. 

However, the collective experience of those who have been working in this area is now sufficiently large that patterns and trends have emerged, as well as a regular set of misconceptions! 

In this session, Keith Belanager, DataOps.live Field CTO and multi decade practitioner, Paul Rankin, former Head of Data Platforms and Governance at Roche Diagnostics, multi decade practitioner and Data Mesh and Data Products expert, and Guy Adams, DataOps.live co-founder and author of DataOps for Dummies and Data Products for Dummies, meet to discuss the top myths and misconceptions they see and give the real facts! 

Keith Belanger is an OG data modeling practitioner, having been in the game for decades.

We chat about a wide range of data modeling topics.

What's changed and what's stayed the same? How to model data to fit the business's needs. Agile data modeling. When it works, when it doesn't. Data modeling for data mesh and decentralization. The art of data modeling How to teach conceptual data modeling to new practitioners

Keith brings a wealth of experience and a practical, no-nonsense perspective. If you're interested in data modeling, don't miss this!

LinkedIn: https://www.linkedin.com/in/krbelanger/

Had a great chat with Keith Belanger yesterday (podcast dropping soon) about how conceptual data modeling fell by the wayside. All too often, people seem focused on physical data modeling. This is a shame, because conceptual is the art and lifeblood of data modeling. As an industry, we need to learn to see (again).