With the advancements of powerful big data processing platforms and algorithms come the ability to analyze increasingly large and complex datasets. This goes...

Intro As solutions architects, we work closely with customers every day to help them get the best performance out of their jobs on...

Databricks SQL provides data warehousing capabilities and first class support for SQL on the Databricks Lakehouse Platform - allowing analysts to discover and...

This blog has been co-authored by Gemini. We would like to thank the Gemini team, Anil Kovvuri and Sriram Rajappa, for their contributions...

With its rich open source ecosystem and approachable syntax, Python has become the main programming language for data engineering and machine learning. Data...

​As organizations adopt the data lakehouse architecture, data engineers are looking for efficient ways to capture continually arriving data. Even with the right...

With our launch of Jobs Orchestration , orchestrating pipelines in Databricks has become significantly easier. The ability to separate ETL or ML pipelines...

As machine learning becomes more widely adopted, businesses need to deploy models at speed and scale to achieve maximum value. Today, we are...

We are excited to announce General Availability of the Databricks SQL Connector for Python . This follows the recent General Availability of Databricks...