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Announcing simplified XML data ingestion

We're excited to announce native support in Databricks for ingesting XML data . XML is a popular file format for representing complex data...

Optimizing Databricks LLM Pipelines with DSPy

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools...

Announcing General Availability of Liquid Clustering

May 22, 2024 by Cindy Jiang and Terry Kim in
We're excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative...

How Real-World Enterprises are Leveraging Generative AI

Generative AI (GenAI) is moving incredibly fast. So much so, that in less than two years, GenAI has emerged as one of the...

From Constant Firefighting to Innovation: How Databricks's Money Team Halved Their Ops Burden in One Year!

May 22, 2024 by QIaochu Yang and Li Xiong in
In the last year, the Databricks Money Engineering Team has embarked on an exhilarating journey, achieving nearly double our operational efficiency. We are...

Introducing the Databricks AI Fund

May 21, 2024 by Andrew Ferguson in
We’re excited to announce the Databricks AI Fund, showcasing our commitment to supporting a new generation of founders and startups.

Announcing Mosaic AI Vector Search General Availability in Databricks

Following the announcement we made around a suite of tools for Retrieval Augmented Generation, today we are thrilled to announce the general availability...

Introducing Databricks Assistant Autocomplete

We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing...

Unlocking the Potential of Private Data Sharing using Databricks Private Exchanges

We are thrilled to announce an exciting new feature on the Databricks Marketplace that simplifies the process of setting up private exchanges for...

Semiconductors on the Data Intelligence Platform

May 16, 2024 by David Rogers and Paulo Borges in
In the semiconductor industry, research and development tasks, manufacturing processes, and enterprise planning systems produce an array of data artifacts that can be fused to create an intelligent semiconductor enterprise. Through intelligent data use, an intelligent semiconductor enterprise accelerates time to market, increases manufacturing yield, and enhances product reliability.