Building Data Applications on the Lakehouse With the Databricks SQL Driver for Node.js
We are excited to announce the general availability of the Databricks SQL Driver for NodeJS . This follows the recent general availability of...
Building Data Applications on the Lakehouse With the Databricks SQL Driver for GO
We are excited to announce the general availability of the Databricks SQL Driver for GO . This follows the recent general availability of...
The Executive’s Guide to Data, Analytics and AI Transformation, Part 3: Build Successful Operating Models for Data Teams
This is part three of a multi-part series to share key insights and tactics with Senior Executives leading data and AI transformation initiatives...
Scale Vision Transformers (ViT) on the Databricks Lakehouse Platform with Spark NLP
Introduction Back in 2017, a group of researchers at Google AI published a paper that introduced a transformer model architecture that changed all...
Developing an Open Data Ecosystem with SAP
Across a number of industries, from manufacturing, energy, life sciences to retail, we are seeing enterprises increase their focus on business durability, resilience...
Spark Connect Available in Apache Spark 3.4
Last year Spark Connect was introduced at the Data and AI Summit. As part of the recently released Apache SparkTM 3.4, Spark Connect...
Use Databricks from anywhere with Databricks Connect “v2”
We are thrilled to announce the public preview of Databricks Connect "v2", which enables developers to use the power of Databricks from any...
Introducing MLflow 2.3: Enhanced with Native LLMOps Support and New Features
With over 11 million monthly downloads, MLflow has established itself as the premier platform for end-to-end MLOps, empowering teams of all sizes to...
Introducing AI Functions: Integrating Large Language Models with Databricks SQL
With all the incredible progress being made in the space of Large Language Models, customers have asked us how they can enable their...
Introducing Apache Spark™ 3.4 for Databricks Runtime 13.0
Today, we are happy to announce the availability of Apache Spark™ 3.4 on Databricks as part of Databricks Runtime 13.0 . We extend...