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How Gemini Built a Cryptocurrency Analytics Platform Using Lakehouse for Financial Services

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

Deploy Production Pipelines Even Easier With Python Wheel Tasks

February 14, 2022 by Jan van der Vegt in
With its rich open source ecosystem and approachable syntax, Python has become the main programming language for data engineering and machine learning. Data...

Databricks Delta Live Tables Announces Support for Simplified Change Data Capture

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

Saving Time and Cost With Cluster Reuse in Databricks Jobs

February 4, 2022 by Jan van der Vegt in
With our launch of Jobs Orchestration , orchestrating pipelines in Databricks has become significantly easier. The ability to separate ETL or ML pipelines...

Streamline MLOps With MLflow Model Registry Webhooks

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

Building Data Applications on the Lakehouse With the Databricks SQL Connector for Python

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

Top Three Data Sharing Use Cases With Delta Sharing

Update: Delta Sharing is now generally available on AWS and Azure. Data sharing has become an essential component to drive business value as...

Announcing General Availability of Databricks SQL

Today, we are thrilled to announce that Databricks SQL is Generally Available (GA)! This follows our earlier announcements about Databricks SQL’s world record-setting...

Introducing Data Profiles in the Databricks Notebook

December 7, 2021 by Edward Gan, Moonsoo Lee and Austin Ford in
Before a data scientist can write a report on analytics or train a machine learning (ML) model, they need to understand the shape...

Evolution of the Sql Language at Databricks: Ansi Standard by Default and Easier Migrations from Data Warehouses

Databricks SQL is now generally available on AWS and Azure. Today, we are excited to announce that Databricks SQL will use the ANSI...