Apache Beam and Dataflow Masterclass 2026

About this course

Learn how to build scalable data pipelines using Apache Beam and how data flow works in modern data engineering systems, including concepts used in Google Cloud Platform environments.This course is intended for students who wish to master Apache Beam from scratch and also learn how to design and implement efficient data flow pipelines. In this course, students will be able to get hands-on experience building batch and streaming data pipelines and also learn how data flow works through these transformations.Given that this course has a strong focus on practical learning, students will be able to get hands-on experience building Apache Beam pipelines using Python and Google Colab and also get an understanding of how these pipelines work using Google Cloud Platform and Dataflow.What You Will LearnMaster the basics of Apache Beam, including pipelines, PCollections, and PTransformsUnderstand the basics of dataflow, including dataflow concepts and data flow in pipelinesDevelop scalable dataflow pipelines with Apache BeamMaster basic transforms, including Map, FlatMap, Filter, and DoMaster advanced transforms, including GroupByKey, CoGroupByKey, Flatten, Partition, and CombineMaster data aggregation with Max, Min, Sum, Top, Sample, etc.Master the use of side inputs and side outputs in an Apache Beam data pipelineMaster the design of modular data pipelines with the help of composite transformationsMaster the process of debugging and optimizing an Apache Beam data pipelineHands-On Apache Beam with Dataflow Concepts This course is entirely practical and focuses on the development of real skills:Learn how to build Apache Beam pipelines step by step.Work with real data processing examples.Understand how dataflow pipelines scale.Get started with u