Join us for an evening featuring tech-talks about Apache Spark and Delta Lake at scale.
This meetup is hosted by Galvanize (thanks Peter!).
6:00 - 6:30PM: Social segment with Food & Drinks
6:30 - 6:35PM: Introduction & Announcements
6:35 - 7:15PM: "Delta Lake: Open Source Reliability w/ Apache Spark"
7:20 - 8:00PM: "Customer (Residual) Lifetime Value CLV on Databricks"
Delta Lake: Open Source Reliability w/ Apache Spark
Presenter: Sajith Appukuttan, Solution Architect, Databricks
Abstract: Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake offers ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. It runs on top of your existing data lake and is fully compatible with Apache Spark APIs.
Customer (Residual) Lifetime Value CLV on Databricks
Presenter: Bilal Obeidat, Lead Solution Architect, Databricks
Abstract: Customer lifetime value models (CLVs) are powerful predictive models that allow analysts and data scientists to forecast how much customers are worth to a business. CLV is a core task and accurately understanding it helps enterprises better target their marketing and retention programs, optimize customer service and business forecasts, and drive higher revenues and improved margins.
Two global retailers leveraged Databricks scalability and ML capabilities to implement their CLV solutions. We will share details of the process and lessons learned.