Michael Hewitt

In aviation, "bad data" is an operational risk. For large enterprises with hundreds of data products, manual stewardship stifles innovation. To ensure "safe skies," we transformed governance and quality into engineering disciplines. This session explores our "Governance as Code" architecture using DQX and Ontos on Unity Catalog. We demonstrate using GenAI to bootstrap trust, scanning raw data to auto-generate Open Data Contract Standards (ODCS). We then show how DQX acts as the enforcer, compiling contracts into pipelines that quarantine violations and alert on drift. AI-assisted contracts: Using LLMs to profile data and draft rigorous ODCS contracts, cutting onboarding time. Automated quality: Deploying DQX to enforce row-level quality, quarantine bad data and trigger drift alerts. Semantics-first: Using Ontos to map technical assets to business meaning for a discoverable data marketplace. Join us to learn how we replaced bureaucracy with automation and engineering rigor.

This session unfolds evaluation context and the logic behind CALCULATE(). Through examples, we'll demystify how row context, filter context, and CALCULATE() work together to produce dynamic calculation results.

Whether you're looking to level up your Power BI game or bridge the gap between beginner and advanced DAX techniques, this session is for you! This session dives right to the heart of evaluation context and the logic behind CALCULATE().

Data visualization is all about communicating with data. Often, data professionals do well in wrangling and analyzing the data but stop short of producing charts that are visually appealing at the expense of clarity.

At Nielsen Digital we have been moving our ETLs to containerized environments managed by Kubernetes. We have successfully transferred some of our ETLs to this environment in production.