Building Big Data Pipelines with Apache Beam
- Paperback: 342 pages
- Publisher: WOW! eBook (January 21, 2022)
- Language: English
- ISBN-10: 1800564937
- ISBN-13: 978-1800564930
Building Big Data Pipelines with Apache Beam: Implement, run, operate, and test data processing pipelines using Apache Beam
Apache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing.
This book will help you to confidently build data processing pipelines with Apache Beam. You’ll start with an overview of Apache Beam and understand how to use it to implement basic pipelines. You’ll also learn how to test and run the pipelines efficiently. As you progress, you’ll explore how to structure your code for reusability and also use various Domain Specific Languages (DSLs). Later chapters will show you how to use schemas and query your data using (streaming) SQL. Finally, you’ll understand advanced Apache Beam concepts, such as implementing your own I/O connectors.
- Understand the core concepts and architecture of Apache Beam
- Implement stateless and stateful data processing pipelines
- Use state and timers for processing real-time event processing
- Structure your code for reusability
- Use streaming SQL to process real-time data for increasing productivity and data accessibility
- Run a pipeline using a portable runner and implement data processing using the Apache Beam Python SDK
- Implement Apache Beam I/O connectors using the Splittable DoFn API
By the end of this Building Big Data Pipelines with Apache Beam book, you’ll have gained a deep understanding of the Apache Beam model and be able to apply it to solve problems.
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