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

Building Scalable Data Lake On Snowflake Pge

Snowflake Cost Saving

We Automate SnowflakeDB Data Cloud Cost Saving. Sign Our Free 7 Days No Risk Trail Now

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.
[site_reviews_form assigned_posts="post_id" hide="title,name,email"]
[site_reviews_summary assigned_posts="post_id"]