We are excited to announce a new AutoML capability to quickly and easily use Feature Store data to improve model outcomes. AutoML users...

This is a collaborative post from Databricks and Census. We thank Parker Rogers, Data Community Advocate, at Census for his contributions. In this...

A new data management architecture known as the data lakehouse emerged independently across many organizations and use cases to support AI and BI...

On the heels of the initial release of H3 support in Databricks Runtime (DBR ), we are happy to share ground-breaking performance improvements...

This is a collaborative post from Databricks and Microsoft. We thank Mahesh Prakriya (Director in Intelligence Platform, Microsoft) and Bob Zhang (Sr. Technical...

In our two-part blog series titled "Streaming in Production: Collected Best Practices," this is the second article. Here we discuss the "After Deployment"...

Databricks Workflows is a fully-managed orchestration service that is deeply integrated with the Databricks Lakehouse Platform. Workflows is a great alternative to Airflow...

Part 2 of the blog series on deploying Workflows through Terraform. Here we focus on how to convert inherited Workflows into Terraform IaC...

In Part I of this series, we walked through the process of setting up a Cybersecurity Lakehouse that allowed us to collect and...