In the modern enterprise, data isn’t just a byproduct of systems—it’s the lifeblood of decisions, automation and innovation. Yet, as organizations accelerate their data ambitions, one truth becomes ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

In our always-connected world, data moves at incredible speed. A customer taps your app, and within seconds, they receive a personalized offer. Meanwhile, an online payment might get flagged for fraud ...

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Managing, moving, transforming and governing data for business applications and data analytics purposes has always been an important part of IT operations. But those chores have taken on a new level ...

Imagine it’s 3 a.m. and your pager goes off. A downstream service is failing, and after an hour of debugging you trace the issue to a tiny, undocumented schema change made by an upstream team. The fix ...

What’s the difference between a data engineer and a data analyst? Data isn’t much good without people who know how to collect it, shape it, and explain what it means. That’s where data engineers and ...

Artificial intelligence is driving a data center building boom across rural America, including in central Washington. But critics say the centers do not produce enough jobs — and drain resources.

Chris Belasco, chief data officer (CDO) at the City of Pittsburgh, is focused on his team’s triumphs. While some data leaders might like to bask in the glory of their personal achievements, Belasco ...