Jan Lukavský

Building Big Data Pipelines with Apache Beam (eBook, ePUB)

Use a single programming model for both batch and stream data processing

• Format: ePub

Produktbeschreibung

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.

By the end of this 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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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 342
• Erscheinungstermin: 21. Januar 2022
• Englisch
• ISBN-13: 9781800566569
• Artikelnr.: 70296247

Autorenporträt

Jan Lukavský is a freelance big data architect and engineer who is also a committer of Apache Beam. He is a certified Apache Hadoop professional. He is working on open source big data systems combining batch and streaming data pipelines in a unified model, enabling the rise of real-time, data-driven applications.