Wednesday, October 27, 2020 10am PT
Apache Spark™️ has become the de facto open source standard for big data processing due to its ease of use and performance. And the open source Delta Lake project enhances Spark’s lead with new capabilities like ACID transactions, Schema Enforcement and Time Travel.
These features help ensure that data lakes and data pipelines can deliver high-quality, reliable data to downstream data teams for successful data analytics and machine learning projects.
In this webinar, learn the advantages of combining Apache Spark 3.0 and Delta Lake. You’ll also get a walk-through of Apache Spark 3.0 as part of our Databricks Runtime 7.0 Beta.
Here’s what we’ll cover:
Get up to speed on the latest contributions from the Spark community for fast and scalable data processing. And find out how you can try them today on Databricks for free.
Save your spot today!
Denny Lee, Staff Developer Advocate