Getting Started with Delta Lake

Series Details

This session is part of the Getting Started with Delta Lake series with Denny Lee and the Delta Lake team.

Session Abstract

Join Michael Armbrust, head of Delta Lake engineering team, to learn about how his team built upon Apache Spark to bring ACID transactions and other data reliability technologies from the data warehouse world to cloud data lakes.

Apache Spark is the dominant processing framework for big data. Delta Lake adds reliability to Spark so your analytics and machine learning initiatives have ready access to quality, reliable data. This webinar covers the use of Delta Lake to enhance data reliability for Spark environments.

Topic areas include:

• The role of Apache Spark in big data processing
• Use of data lakes as an important part of the data architecture
• Data lake reliability challenges
• How Delta Lake helps provide reliable data for Spark processing
• Specific improvements improvements that Delta Lake adds
• The ease of adopting Delta Lake for powering your data lake

What you need:
Sign up for Community Edition here and access the workshop presentation materials and sample notebooks