Hundreds of customers are already ingesting data with Lakeflow Connect from SQL Server, Salesforce, ServiceNow, Google Analytics, SharePoint, PostgreSQL and more to unlock the full power of their data. Lakeflow Connect introduces built-in, no-code ingestion connectors from SaaS applications, databases and file sources to help unlock data intelligence. In this demo-packed session, you’ll learn how to ingest ready-to-use data for analytics and AI with a few clicks in the UI or a few lines of code. We’ll also demonstrate how Lakeflow Connect is fully integrated with the Databricks Data Intelligence Platform for built-in governance, observability, CI/CD, automated pipeline maintenance and more. Finally, we’ll explain how to use Lakeflow Connect in combination with downstream analytics and AI tools to tackle common business challenges and drive business impact.

Have you ever been at a loud party, or a bar, and you suddenly pick out your name being said by your friend down the end of the bar? Your brain exists to find the signal in the noise and pluck out personalized experiences. It's rooted deep in our psychology, and our need for control and to reduce information overload, but at the core... it's just how our brains physically work. There are a number of (expensive) systems that can help you employ personalization on your website, but did you know you could use personalization techniques on your site essentially overnight using free tools, and get some pretty insane results? Using free Google Analytics and Google Tag Manager, we helped one client increase their conversion rate by 32X (from 1% to 32%) using free tools, without even having to go through their developers. We'll walk through why humans do the things we do, and then dig into how you too can employ a similar personalization scheme using tools within the Google Marketing Platform to hopefully get some similarly crazy results.

Past attendees of Superweek have ridden along with Tim as he explored R, and then as he dove deeper into some of the fundamental concepts of statistics. In this session, he will provide the latest update on that journey: how he is putting his exploration into the various dimensions of data science to use with real data and real clients. The statistical methods will be real, the code will be R (and available on GitHub), and the data will only be lightly obfuscated. So, you will be able to head back to your room at the next break and try one or more of the examples out on your own data! (But, don't do that -- the food and conversation at the breaks is too good to miss!)