This course is ideal for data engineers, backend developers, and big data practitioners who want to streamline data processing across real-time and batch use cases with a unified approach.
apache-beam-training
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You’ll gain hands-on experience with:
Apache Beam SDK (Python or Java)
Batch and streaming pipelines
Integration with runners like Flink, Dataflow, and Spark
Working with windowing, triggers, watermarks, and aggregations
Yes. The course includes labs where you’ll build data pipelines, simulate streaming data sources, and work with different runners to execute and monitor jobs.
Yes. You should have a working knowledge of Python or Java, and be familiar with Big Data fundamentals such as distributed processing, ETL, or stream processing concepts.
Absolutely. On successful completion, you’ll receive a Florence Fennel Certificate of Completion in Apache Beam Data Engineering.
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This course teaches you how to use Apache Beam to build unified, scalable pipelines for batch and streaming data processing. You’ll learn key concepts like windowing, watermarks, runners, and how to optimize pipelines for production use.
This course is ideal for: Data engineers working with streaming or batch processing Software developers building real-time analytics platforms Big data professionals who want a unified framework across platforms
It’s a 3-day immersive training with hands-on exercises and real-world case studies.
You should be comfortable with Python or Java, and have a basic understanding of Big Data concepts like distributed systems, data streams, and processing frameworks.
You’ll be able to: Build, test, and deploy Apache Beam pipelines Choose appropriate windowing and triggering strategies Run Beam jobs on multiple runners like Flink, Spark, and Google Cloud Dataflow Handle real-world scenarios like late data, session windows, and aggregations
Yes, it’s designed around practical labs and demos. You’ll build and execute real pipelines using both streaming and batch data.
Yes. Participants receive a Florence Fennel Certificate of Completion, validating your skills in Apache Beam and real-time data processing.
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