Learning Spark.pdf
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PROGRAMMING LANGUAGES/SPARK
Learning Spark
ISBN: 978-1-449-35862-4
US $39.99 CAN $ 45.99
“
Learning Spark is at the
top of my list for anyone
needing a gentle guide
to the most popular
framework for building
big data applications.
”
—Ben Lorica
Chief Data Scientist, O’Reilly Media
Twitter: @oreillymedia
facebook.com/oreilly
Data in all domains is getting bigger. How can you work with it efficiently?
This book introduces Apache Spark, the open source cluster computing
system that makes data analytics fast to write and fast to run. With Spark,
you can tackle big datasets quickly through simple APIs in Python, Java,
and Scala.
Written by the developers of Spark, this book will have data scientists and
engineers up and running in no time. You’ll learn how to express parallel
jobs with just a few lines of code, and cover applications from simple batch
jobs to stream processing and machine learning.
■ Quickly dive into Spark capabilities such as distributed
datasets, in-memory caching, and the interactive shell
■ Leverage Spark’s powerful built-in libraries, including Spark
SQL, Spark Streaming, and MLlib
■ Use one programming paradigm instead of mixing and
matching tools like Hive, Hadoop, Mahout, and Storm
■ Learn how to deploy interactive, batch, and streaming
applications
■ Connect to data sources including HDFS, Hive, JSON, and S3
■ Master advanced topics like data partitioning and shared
variables
Holden Karau, a software development engineer at Databricks, is active in open
source and the author of Fast Data Processing with Spark (Packt Publishing).
Andy Konwinski, co-founder of Databricks, is a committer on Apache Spark and
co-creator of the Apache Mesos project.
Patrick Wendell is a co-founder of Databricks and a committer on Apache Spark.
He also maintains several subsystems of Spark’s core engine.
Matei Zaharia, CTO at Databricks, is the creator of Apache Spark and serves as
its Vice President at Apache.
Learning Spark
Karau, Konwinski,
Wendell & Zaharia
Holden Karau, Andy Konwinski,
Patrick Wendell & Matei Zaharia
L e a r n i n g
Spark
LIGHTNING-FAST DATA ANALYSIS
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