Apache Beam Training Course

SKU: 2312
10 Lesson
|
30 Hours
igmGuru offers the best Apache Beam training online worldwide. This comprehensive training program covers key topics such as Apache Beam architecture and workflow, integration with popular runners and cloud platforms, unified batch and stream processing, modern pipeline design, dependency management, and cross-platform data processing. The course also includes in-depth modules on windowing and triggers, stateful processing, event-time handling, testing and debugging pipelines, and automation through CI/CD workflows. Enroll today in our Apache Beam training course to prepare for the certification exam.

Apache Beam Course Overview

These Apache Beam course modules are designed by industry experts to reflect real-world use cases, best practices, and the latest developments in modern data engineering for professional analytics and cloud-based data platforms. Learners will gain hands-on experience in building and managing scalable data pipelines, integrating third-party data sources, and applying modern Apache Beam best practices for clean, maintainable, and efficient data processing.

Prerequisites

  • Programming knowledge - Python or Java
  • Understanding of data processing concepts - batch vs. stream processing
  • Basic knowledge of ETL (Extract, Transform, Load) workflows
  • Familiarity with distributed systems (e.g., Spark, Flink, or Hadoop)
  • Knowledge of data formats - JSON, Avro, or Parquet
  • Basic cloud computing concepts (especially Google Cloud Dataflow if using GCP)
  • Understanding of windowing and event time (for streaming pipelines)

What You Will Learn

  1. Build and run data pipelines for batch and streaming data
  2. Use Apache Beam SDKs (Python or Java) to write transformations
  3. Apply windowing, triggers, and aggregations for stream processing
  4. Work with multiple runners (e.g., Dataflow, Spark, Flink)
  5. Read and write data from various sources (BigQuery, Pub/Sub, files, etc.)
  6. Monitor and optimize pipeline performance

Key Features

Apache Beam Course Curriculum

1. Evolution of big-data frameworks & positioning of Beam
2. Beam’s unified programming model: batch + streaming
3. Overview of Beam SDKs, runners, ecosystem
4. Setting up development environment (Java / Python)
1. Key abstractions: Pipeline, PCollection, PTransform, DoFn
2. Execution model: how runners execute Beam pipelines
3. Supported runners and portability framework
1. Read / Write I/O operations
2. Core transforms: Map, FlatMap, Filter, ParDo, GroupByKey, Combine
3. Building a simple “WordCount” pipeline example
1. Composite transforms, side inputs, side outputs
2. Type hints / coders / serialization
3. Multi-output processing, joins (CoGroupByKey)
1. Event time vs processing time
2. Windowing (tumbling, sliding, session), triggers, watermarks
3. Late data handling, watermark evolution
1. Various I/O: Pub/Sub, Kafka, BigQuery, FileIO, Avro, Parquet
2. Using schemas for structured data in Beam
3. Performance and I/O tuning
1. Stateful DoFns, managing timers and stateful processing
2. Common streaming patterns (joins, window merging, sessionization)
1. Pipeline testing techniques, metrics, logging
2. Monitoring, debugging, cost optimization (especially in cloud runners)
3. Best practices for scalable, maintainable Beam pipelines
1. Using Beam SQL and DataFrame API for business logic
2. Integrating with ML workflows (inference, preprocessing)
3. Real-world case studies
1. Build and deploy a full pipeline: choose batch or streaming scenario
2. Optimize for performance, cost, reliability
3. Review and present solution
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Apache Beam Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 16 Jul 2026
  • Weekday Batch 20 Jul 2026
  • Weekend Batch 18 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Apache Beam Certification

After completing the Apache Beam training and hands-on practical exercises, learners will receive a course completion certificate from igmGuru. This certification validates your expertise in designing, building, and managing scalable data pipelines using Apache Beam across batch and streaming workloads. It demonstrates your ability to apply modern Beam best practices, handle windowing and stateful processing, integrate with multiple data sources and runners, and deploy pipelines efficiently on cloud or on-premise platforms.

Apache Beam Certification

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