In this session, we will discuss how real-time data streaming can be used to gain insights into user behavior and preferences, and how this data is being used to provide personalized content and recommendations on Discovery+. We will examine techniques that enables faster decision making and insights on accurate real time data including data masking and data validation. To enable a wide set of data consumers from data engineers to data scientists to data analysts, we will discuss how Unity Catalog is leveraged for secure data access and sharing while still allowing teams flexibility.

Operating at this scale requires examining the value being created by the data being processed and optimizing along the way and we will share some of our success in this area.

Talk by: Deepa Paranjpe

Here’s more to explore: Big Book of Data Engineering: 2nd Edition: https://dbricks.co/3XpPgNV The Data Team's Guide to the Databricks Lakehouse Platform: https://dbricks.co/46nuDpI

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