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Covers Apache Spark 3 with Examples in Java, Python, and Scala
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Look inside
The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark’s powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop.
about the technology
Analyzing enterprise data starts by reading, filtering, and merging files and streams from many sources. The Spark data processing engine handles this varied volume like a champ, delivering speeds 100 times faster than Hadoop systems. Thanks to SQL support, an intuitive interface, and a straightforward multilanguage API, you can use Spark without learning a complex new ecosystem.about the book
Spark in Action, Second Edition, teaches you to create end-to-end analytics applications. In this entirely new book, you’ll learn from interesting Java-based examples, including a complete data pipeline for processing NASA satellite data. And you’ll discover Java, Python, and Scala code samples hosted on GitHub that you can explore and adapt, plus appendixes that give you a cheat sheet for installing tools and understanding Spark-specific terms.what's inside
- Writing Spark applications in Java
- Spark application architecture
- Ingestion through files, databases, streaming, and Elasticsearch
- Querying distributed datasets with Spark SQL
This book reveals the tools and secrets you need to drive innovation in your company or community.
An indispensable, well-paced, and in-depth guide. A must-have for anyone into big data and real-time stream processing.
This book will help spark a love affair with distributed processing.
Currently the best book on the subject!
Spark in Action, Second Edition ebook for free
