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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. Unlike many
Spark books written for data scientists, Spark in Action, Second
Edition is designed for data engineers and software engineers who
want to master data processing using Spark without having to learn
a complex new ecosystem of languages and tools. You'll instead
learn to apply your existing Java and SQL skills to take on
practical, real-world challenges. Key Features * Lots of examples
based in the Spark Java APIs using real-life dataset and scenarios
* Examples based on Spark v2.3 Ingestion through files, databases,
and streaming * Building custom ingestion process * Querying
distributed datasets with Spark SQL For beginning to intermediate
developers and data engineers comfortable programming in Java. No
experience with functional programming, Scala, Spark, Hadoop, or
big data is required. About the technology Spark is a powerful
general-purpose analytics engine that can handle massive amounts of
data distributed across clusters with thousands of servers.
Optimized to run in memory, this impressive framework can process
data up to 100x faster than most Hadoop-based systems. Author Bio
An experienced consultant and entrepreneur passionate about all
things data, Jean-Georges Perrin was the first IBM Champion in
France, an honor he's now held for ten consecutive years.
Jean-Georges has managed many teams of software and data engineers.
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