Implement, run, operate, and test data processing pipelines using Apache Beam
Key Features:
Book Description:
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.
What You Will Learn:
Who this book is for:
This book is for data engineers, data scientists, and data analysts who want to learn how Apache Beam works. Intermediate-level knowledge of the Java programming language is assumed.
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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.
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Anbieter: moluna, Greven, Deutschland
Zustand: New. This book describes both batch processing and real-time processing pipelines. You ll learn how to implement basic and advanced big data use cases with ease and develop a deep understanding of the Apache Beam model. In addition to this, you ll discover how t. Artikel-Nr. 562745972
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