Operationalizing the Cloud Data Lake with Ibotta, Qubole, and Snowflake

The Denver Data Engineering meetup will be hosted at the Ibotta office and feature speakers from Ibotta, Snowflake, and Qubole. Our speakers will be discussing the prevalence of cloud computing and it’s effect on scalable data operations that have to balance both performance and cost. Afterwards, there will be a panel discussion with all speakers for more in-depth technical and operational questions. Pizza, beer, and wine will be provided and we will be live-streaming via a Zoom link that will be distributed prior to the event. All slides will be made available after the event.

Special Thanks to our presenting sponsors: Ibotta https://www.ibotta.com and Astronomer https://www.astronomer.io

Schedule:

6:00 – Doors Open

6:30 – Modernizing Data Platforms – Matt Feldman, Regional Director, Snowflake Computing The emergence of the cloud is allowing companies to rethink the way they drive analytics and insights to their organization. Time to market will be a consistent discussion point in board rooms and we’ll talk about how you can support these discussions.

7:00 – 2018 Big Data Trends and Best Practices of Advanced Analytics Operations with AirFlow – Jon King, Solutions Architect, Qubole Covering the state of how companies using big data in the cloud are using different technologies today. King will then dive into some real world examples of AirFlow to operationalize a number of big data use cases, and some best practices to consider.

7:30 – Unlocking machine learning through configurable ETL at Ibotta – Steve Carpenter, Data Engineer, Ibotta and Mike Lewis, Data Scientist, Ibotta. Hear how Ibotta’s data operations have matured to support efficient modeling as their data lake has grown from terabytes to petabytes over the past two years.

8:00 – Panel Discussion with Ibotta, Qubole, and Snowflake