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64 articles

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Data Engineering(3)

Announcements(3)

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AI Engineering(1)

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AI•2026-05-20

Governing AI agents at scale with Unity Catalog

Unity Catalog extends enterprise data governance to cover AI agents, MCP servers, and LLMs through a comprehensive framework balancing security with operational velocity.

Data Engineering•2026-05-19

Automate Data & KPI Monitoring with SQL Alerts

Databricks SQL Alerts automates data monitoring by defining metrics in SQL and sending notifications when conditions are triggered, eliminating manual daily checks.

Security•2026-05-19

Stop rogue AI: How Unity Catalog secures your agent actions

Unity Catalog secures agentic AI by enforcing policies on MCP tool access with audit logging.

DevOps•2026-05-19

Introducing AI spend controls with Unity AI Gateway

Unity AI Gateway introduces AI Spend Controls to help organizations manage and monitor AI workload costs with granular budget controls.

Security•2026-05-19

How to safeguard AI workloads with Unity AI Gateway Guardrails

This post introduces LLM Guardrails in Unity AI Gateway, a set of security controls for governing and securing AI workloads.

AI•2026-05-19

What’s new in Unity AI Gateway: service policies, guardrails, observability, and cost controls for AI agents and MCPs

Unity AI Gateway introduces new governance capabilities for AI agents and MCPs, including LLM-based guardrails, cost controls, observability, and service policies.

Product•2026-05-15

A new personal finance experience in ChatGPT

ChatGPT introduces a new personal finance feature for Pro users in the U.S., enabling secure financial account integration and AI-powered financial guidance.

AI•2026-05-14

Work with Codex from anywhere

This article introduces using Codex from the ChatGPT mobile app for remote code task management.

Data Engineering•2026-05-13

ABAC row filtering and column masking policies, governed tags, and data classification are now generally available in Unity Catalog

Unity Catalog now offers three data governance capabilities for protecting sensitive data at scale.

Data Engineering•2026-05-12

Announcing Native Lakehouse Sync

Databricks announced the Public Preview of Native Lakehouse Sync, a capability that replicates Lakebase data to Unity Catalog managed tables without pipelines or external compute.

Data Engineering•2026-05-12

Faster Queries and New Capabilities with the Open-Source Databricks JDBC Driver

Databricks releases enhanced open-source JDBC driver with significant performance improvements and new capabilities.

Data Engineering•2026-05-11

The Convergence of Open Table Formats and Open Catalogs: Catalog Commits is Generally Available

Catalog Commits unifies Delta Lake and Iceberg by establishing catalogs as the coordination layer for modern lakehouse architectures.

Backend•2026-05-08

How Superhuman and Databricks built a 200K QPS inference platform together

Superhuman and Databricks partnered to build a 200K QPS inference platform serving grammatical error correction at massive scale.

Data Science and ML

AI•2026-05-07

Advancing voice intelligence with new models in the API

OpenAI API introduces new realtime voice models that enhance voice intelligence with advanced capabilities.

Data Engineering•2026-05-06

Rethinking Distributed Systems for Serverless Performance and Reliability

This article discusses how Databricks redesigned Apache Spark's architecture to deliver serverless compute with improved reliability and performance.

AI•2026-05-05

GPT-5.5 Instant: smarter, clearer, and more personalized

GPT-5.5 Instant is an updated version of ChatGPT's default model offering enhanced capabilities.

Product•2026-05-05

New ways to buy ChatGPT ads

OpenAI introduces new advertising features for ChatGPT with a self-serve Ads Manager and enhanced measurement capabilities.

Security•2026-04-30

Introducing Advanced Account Security

This article introduces advanced account security features designed to protect user accounts and sensitive data.

Data Engineering•2026-04-29

Approximate Answers, Exact Decisions: New Sketch Functions for Analytics

Databricks introduces four new sketch function families that enable fast approximate queries on large datasets with bounded-memory compression.

Data Engineering•2026-04-28

Agentic Data Engineering with Genie Code and Lakeflow

Genie Code is an AI agent enabling data engineers to build production-ready pipelines and jobs using natural language, reducing weeks-long tasks to hours.