Data governance is putting leaders to sleep. See how Business Ontology awakens AI value by focusing on the business clarity they truly care about.

Is your data architecture stuck in the past? A dialogue on the Lakehouse and future of data modeling—from rigid structures to choreographing data.

Confused by ETL vs ELT? This simple story uses a restaurant kitchen analogy to finally explain the difference and why tools like dbt are a game-changer.

Lost in data jargon? Get a simple, jargon-free explanation of Data Warehouse, Data Lake, and Lakehouse. Finally understand the differences and what you need.

A data engineer's midnight nightmare with schema drift becomes a success story. Learn how automated schema validation in CI/CD prevents production failures.

Learn how solo developers leverage AI-assisted development to build complete products. Discover why slow is fast and essential practices for vibe coding success.

Prevent schema drift with database schema validation in GitHub Actions & Azure DevOps. Automated checks safeguard your CI/CD pipeline and ensure data integrity

Rule-driven schema validation prevents data pipeline failures from schema drift—a simple, lightweight alternative to complex frameworks for reliable data quality.

A data architect's honest account of scrapping a half-built data validation platform to build what users actually want: a lightweight Python CLI tool.

Stop burning cloud budget on Spark for basic data validation. Learn why SQL pushdown is the smarter, faster way to ensure data quality and pipeline efficiency.