Databricks Data + AI Platform Demo
With Delta Lake on Databricks, you can build a lakehouse architecture that combines the best parts of data lakes and data warehouses on a simple and open platform that stores and manages all of your data and supports all of your analytics and AI use cases.
In this demo, we cover the main features of Delta Lake, including unified batch and streaming data processing, schema enforcement and evolution, time travel, and support for UPDATEs/MERGEs/DELETEs, as well as touching on some of the performance enhancements available with Delta Lake on Databricks.
Dive deeper into the Databricks Data + AI Platform
Episode transcript
Journey of Big Data
Welcome to Data Brew by Databricks with Denny and Brooke. The series allows us to explore various data topics in the data and AI community. Whether we’re talking about data engineering or data science, we’re going to interview subject matter experts to dive deeper into these topics. And while we’re at it, we’re going to enjoy a morning brew. My name is Denny Lee, I’m a developer advocate here at Databricks with a background in data engineering and data science.
