Introducing the Well-Architected Data Lakehouse from Databricks
To provide customers with a framework for planning and implementing their data lakehouse, we are pleased to announce that we have recently published...
Welcome Rubicon to Databricks: The Future of AI Storage and Serving Systems
We are incredibly excited to announce that the team behind Rubicon is joining Databricks. Founded by large scale infrastructure builders, Akhil Gupta and...
Lakehouse Orchestration with Databricks Workflows
Organizations across industries are adopting the lakehouse architecture and using a unified platform for all their data, analytics and AI workloads. When moving...
Debug your code and notebooks by using Visual Studio Code
Earlier this year we launched the official Databricks extension for Visual Studio Code. Today we are adding support for interactive debugging and local...
Extending Databricks Unity Catalog with an Open Apache Hive Metastore API
Today, we are excited to announce the preview of a Hive Metastore (HMS) interface for Databricks Unity Catalog , which allows any software...
Handling "Right to be Forgotten" in GDPR and CCPA using Delta Live Tables (DLT)
The amount of data has exploded over the last decades and governments are putting regulations in place to provide greater protection and rights...
Easy Ingestion to Lakehouse with File Upload and Add Data UI
Data ingestion into the Lakehouse can be a bottleneck for many organizations, but with Databricks, you can quickly and easily ingest data of...
Driving Data Usability for Health Plans through Simplified Data Quality Enforcement with Databricks
This is collaborative work from Abacus Insights and Beesbridge , the delivery partner for Databricks. Faced with clinician shortages, an aging population, and...
Announcing the Public Preview of Azure Databricks support for Azure confidential computing
We are excited to announce Azure Databricks support for Azure confidential computing (ACC) in preview! With this announcement , customers can run their...
How Databricks improved query performance by up to 2.2x by automatically optimizing file sizes
Optimizing tables has long been a necessary but complicated task for data engineers. One particularly thorny area has been getting to the optimal...