This is an online-only event, If you RSVP for the event you will see the zoom link. We have added a waiting room to the zoom meeting. Please make sure you are using your name when connecting.
Greetings!
My apologies for getting this out so late.
We have a great presentation this month about Databricks Lakehouse. Justin Ball will be showing use cases for Databricks Lakehouse and how it can benefit you. All the details are listed below.
Hope to see you online!
Abstract:
This presentation introduces the Databricks Lakehouse with use cases from the Innovation group for a Midwest Electric Utility provider. Covered concepts include: Geospatial processing with H3 indexing, Unity Catalog, decoupled architectural component comparison with MPP systems, data mesh, on-demand/serverless compute, shared DE and DS workspaces, workspace isolation (ie: for Sox), and a cost/performance comparison to the previous tech stack. Additional topics include a quick overview of a data warehouse vs data lake vs data lakehouse, as well as how Delta Lake and Apache Iceberg fit in the decoupled architecture.
Bio:
Justin Ball has been in leadership with the Data and AI team at First Energy since January 2023. He previously worked in Systems Administration and Web Development, before moving into Data Engineering 14 years ago. His data projects span Ad-Tech, Supply Chain, R&D, Manufacturing, Finance, Sales, Infrastructure Services, and Insurance. He is a recovering heavy Oracle user, having served in the Utah Oracle User Group and presented on topics like JavaScript Customizations for the Oracle BI SAW Framework and DevOps for Oracle ODI and OBIA. More recently, he started working with Microsoft Azure 6 years ago, while also working in AWS and Snowflake until moving to Databricks in his current role. His key interests are in the economics of modern data solutions and Six Sigma process tools integration with data and software development.
