Introducing Databricks Assistant for Help
Building on the momentum of Databricks Assistant , the context-aware AI assistant integrated within Databricks Notebooks, SQL editor, and file editor, and now...
Bringing the Lakehouse to R developers: Databricks Connect now available in sparklyr
We’re excited to announce that the latest release of sparklyr on CRAN introduces support for Databricks Connect . R users now have seamless...
Lakehouse Monitoring: A Unified Solution for Quality of Data and AI
Introduction Databricks Lakehouse Monitoring allows you to monitor all your data pipelines – from data to features to ML models – without additional...
Delivering cost-effective data in real time with dbt and Databricks
As businesses grow, data volumes scale from GBs to TBs (or more), and latency demands go from hours to minutes (or less), making...
Accelerate Business Value from Data Sharing with Databricks Unity Catalog and Tredence UnityGO!
Enterprise leaders are turning to the Databricks Data Intelligence Platform to create a centralized source of high-quality data that business teams can leverage...
Introducing Databricks Vector Search Public Preview
Following the announcement we made yesterday around Retrieval Augmented Generation (RAG) , today, we’re excited to announce the public preview of Databricks Vector...
Creating High Quality RAG Applications with Databricks
Retrieval-Augmented-Generation (RAG) has quickly emerged as a powerful way to incorporate proprietary, real-time data into Large Language Model (LLM) applications. Today we are...
Presenting New Partner Integrations in Partner Connect
We are excited to introduce five new integrations in Databricks Partner Connect —a one-stop portal enabling you to use partner solutions with your...
Databricks Wins AWS ISV Partner of the Year Award in NAMER
We’re thrilled to share that Databricks has won the AWS ISV Partner of the Year award for North America. This award recognizes top...
Announcing Enhanced Control Flow in Databricks Workflows
A key element in orchestrating multi-stage data and AI processes and pipelines is control flow management. This is why we continue to invest...