An interactive workshop where you will delve into the world of streaming and real-time data processing with Delta Live Tables. During a short introduction to PySpark, the powerful Python API for Apache Spark, and Structured Streaming, which enables scalable and fault-tolerant stream processing, you will learn the fundamentals of these technologies and how they form the backbone of modern data engineering. You will explore real-time use cases, catching the utility and the possible ways of improving this process.

The highlight of the workshop will be a hands-on session where we will build a data pipeline together using Delta Live Tables. This declarative framework simplifies the creation of reliable and maintainable ETL pipelines, allowing you to focus on data transformations while DLT handles orchestration, compute management, and data quality enforcement.

You will experience firsthand the simplicity and power of Delta Live Tables as we ingest, transform, and analyze streaming data in real-time, gaining by the end of this workshop, a solid understanding of how to leverage DLT to build efficient and scalable data pipelines, empowering your organization to harness the full potential of real-time data.