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 ...

A new managed pipeline layer that lets data platform teams use Apache Iceberg without building a custom platform SAN ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

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 ...

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.

This article is authored by Paras Pandey, data engineer II, Amazon.

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 ...

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 ...

AI is getting smarter by the minute, but the data pipelines behind the scenes are starting to crack. ... Read More The post ...

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 ...

Every enterprise leader has seen the pattern: a proof-of-concept AI tool that impresses in the demo and then three months later, it's hemorrhaging accuracy, choking on edge cases, and nobody can ...