Data warehouses are not keeping up with today's world: the explosion of languages other than SQL, unstructured data, machine learning, IoT and streaming...
Collecting, storing, and processing customer event data involves unique technical challenges. It's high volume, noisy, and it constantly changes. In the past, these...
This post is a continuation of the Disaster Recovery Overview, Strategies, and Assessment blog. Introduction A broad ecosystem of tooling exists to implement...
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...
The Data and AI Summit was chock-full of announcements for the Databricks Lakehouse platform. Among these announcements were several exciting enhancements to Databricks...