This talk explores using advanced data processing and generative AI techniques to revolutionize the retail industry. Using Databricks, we will discuss how cutting-edge technologies enable real-time data analysis and machine learning applications, creating a powerful ecosystem for large-scale, data-driven retail solutions. Attendees will gain insights into architecting scalable data pipelines for retail operations and implementing advanced analytics on streaming customer data. Discover how these integrated technologies drive innovation in retail, enhancing customer experiences, streamlining operations and enabling data-driven decision-making. Learn how retailers can leverage these tools to gain a competitive edge in the rapidly evolving digital marketplace, ultimately driving growth and adaptability in the face of changing consumer behaviors and market dynamics.

Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques. Authors Denny Lee, Tristen Wentling, Scott Haines, and Prashanth Babu (with contributions from Delta Lake maintainer R. Tyler Croy) share expert insights on all things Delta Lake--including how to run batch and streaming jobs concurrently and accelerate the usability of your data. You'll also uncover how ACID transactions bring reliability to data lakehouses at scale. This book helps you: Understand key data reliability challenges and how Delta Lake solves them Explain the critical role of Delta transaction logs as a single source of truth Learn the Delta Lake ecosystem with technologies like Apache Flink, Kafka, and Trino Architect data lakehouses with the medallion architecture Optimize Delta Lake performance with features like deletion vectors and liquid clustering