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Building a Scalable Data Lake Using Amazon S3 and Snowflake at Portland General Electric

Building Scalable Data Lake On Snowflake Pge

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Presentation Description:

Eliminating customer friction has been a goal for all teams at Portland General Electric (PGE). Learn how PGE worked to meet that goal by implementing a data lake solution with Amazon S3, AWS DMS, Matillion, Snowflake’s external tables, and Snowpipe. The solution became a center of excellence across all business units at PGE and delivered a scalable architecture with reusable code, less maintenance, and valuable data sharing.

Presentation Track: Modernize Your Data Lake, Deliver Data Engineering at Scale
Presentation Date: November 29, 2020
Presentation Speaker(s): Aravind Murugesh
Frank’s Comment: No opinion now. Looks kind of interesting.

Overview ITS:

In this session we learn how building a scalable data lake enables PGE to eliminate customer friction. After highlighting their business goals and challenges that were solved by Snowflake, the speakers demonstrate how the Snowflake solution became a center of excellence, enhancing business value, cutting costs, saving hours of manual effort, and generating many savings for the company.

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