Master real-time data engineering with Databricks by building scalable data pipelines using Spark Structured Streaming, Delta Lake, and Databricks SQL. Learn how to process streaming data, design modern architectures, and build production-ready systems that power real-time analytics and data-driven applications.
The rules of data engineering are being rewritten. Large companies no longer collect data and review it hours later. Like a modern traffic control center, they process data the moment it flows in. In this Databricks course, you’ll learn to build that kind of real-time data processing system from scratch — everything from streaming data ingestion and automated pipelines to SQL-based analytics and presenting results through dashboards, alerts, and AI, all taught through hands-on examples.
Think of it this way. City governments used to wake up to a report reading “this road was jammed yesterday” — information that arrived long after it could have helped anyone. Today’s control centers work differently: real-time data streaming systems process incoming data instantly, live dashboards update continuously, alerts trigger immediately, and systems respond automatically. That’s exactly the shift happening across the data engineering world. Real-time streaming architecture is replacing traditional batch data pipelines.
