7:30 PM
Registration and Refreshments Followed by Welcome from C2C and Google Cloud
8:00 PM
What Is a Lakehouse? What Is a Lakehouse on Google?
Irina Farooq, Senior Director, Product Management, Google Cloud - Learn about why the analytics lakehouse is important and what technical innovations Google Cloud is introducing to make the analytics lakehouse the best lakehouse in the market.
8:30 PM
Setting Up Our Lakehouse on Google
Jason Davenport, Head of Advocacy for Data Analytics, Google Cloud - Get started by setting up your first lakehouse. This session will focus on how developers build a lakehouse and the considerations important to the process. At the end of the session, participants will have built a working lakehouse that developers can use as a playground.
9:15 PM
Event-Driven Architectures and Real-Time Data Analytics
Brendan Coffey, Principal Engineer in Data Systems, Equinix - Learn about why event-driven architectures are the future of real-time analytics pipelines and how you can get more value from your data by taking action on it when it’s generated.
9:45 PM
Building in ML and Real-Time Feedback from Lakehouse to Your App
Jason Davenport, Head of Advocacy for Data Analytics, Google Cloud - Build your first real time pipeline to see how simple it can be. This session will focus on creating a pipeline that can use an ML model in real time to provide predictions of a customer experience and serve it in low latency back to an application.
10:30 PM
Developer Q & A
Jason Davenport, Alok Pattani, and Gabe Weiss, speakers from the 2023 Google Data Cloud & AI Summit, address questions from you, the developer community!
11:00 PM
Happy Hour & Networking/Refreshments
Spend time getting to know your fellow developer community!
