Recap of Databricks Machine Learning announcements from Data & AI Summit
Databricks Machine Learning on the lakehouse provides end-to-end machine learning capabilities from data ingestion and training to deployment and monitoring, all in one…
Databricks Machine Learning on the lakehouse provides end-to-end machine learning capabilities from data ingestion and training to deployment and monitoring, all in one…
Since the availability of Delta Live Tables (DLT) on all clouds in April (announcement), we’ve introduced new features to make development easier, enhanced…
The Data and AI Summit was chock-full of announcements for the Databricks Lakehouse platform. Among these announcements were several exciting enhancements to Databricks…
Notebooks are a popular way to start working with data quickly without configuring a complicated environment. Notebook authors can quickly go from interactive…
At Databricks, we are continually evolving the development experience to accelerate the path from data to insights. Today we’re excited to announce further…
Here at Databricks, we have helped thousands of customers put Machine Learning (ML) into production. Shell has over 160 active AI projects saving…
Today, we are thrilled to announce that Databricks Terraform Provider is generally available (GA)! HashiCorp Terraform is a popular open source infrastructure as…
Over the past several years, many enterprises have migrated their legacy on-prem Hadoop workloads to cloud-based managed services like EMR, HDInsight, or DataProc.…
We are excited to announce that data lineage for Unity Catalog, the unified governance solution for all data and AI assets on lakehouse,…
Most data warehouse developers are very familiar with the ever-present star schema. Introduced by Ralph Kimball in the 1990s, a star schema is…