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 ...
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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
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Add this copy of Learning Spark: Lightning-Fast Big Data Analysis to cart. $0.99, good condition, Sold by Goodwill rated 5.0 out of 5 stars, ships from Brooklyn Park, MN, UNITED STATES, published 2015 by O'Reilly Media.
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Good. Item has stickers attached to cover and or pages that have not been removed to prevent damage. Corners are bent. Stains on outside cover inside the book. There are tears on paperback. Spine is twisted bowed. Cover Case has some rubbing and edgewear. Access codes CD's slipcovers and other accessories may not be included.
Add this copy of Learning Spark: Lightning-Fast Big Data Analysis to cart. $2.32, very good condition, Sold by ThriftBooks-Dallas rated 4.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2015 by O'Reilly Media.
Add this copy of Learning Spark: Lightning-Fast Big Data Analysis to cart. $2.32, good condition, Sold by ThriftBooks-Atlanta rated 4.0 out of 5 stars, ships from Austell, GA, UNITED STATES, published 2015 by O'Reilly Media.
Add this copy of Learning Spark: Lightning-Fast Big Data Analysis to cart. $2.32, good condition, Sold by ThriftBooks-Baltimore rated 4.0 out of 5 stars, ships from Halethorpe, MD, UNITED STATES, published 2015 by O'Reilly Media.
Add this copy of Learning Spark: Lightning-Fast Big Data Analysis to cart. $2.32, good condition, Sold by ThriftBooks-Dallas rated 4.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2015 by O'Reilly Media.
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Fair. The item is showing use from the previous owner but works perfectly. Signs of previous ownership which could include: tears, scuffing, notes, excessive highlighting, gift inscriptions, slight water damage, a missing dust jacket, and library markings.
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Add this copy of Learning Spark: Lightning-Fast Big Data Analysis to cart. $4.99, very good condition, Sold by Wonder Book - Member ABAA/ILAB rated 5.0 out of 5 stars, ships from Frederick, MD, UNITED STATES, published 2015 by O'Reilly Media.
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Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
Add this copy of Learning Spark: Lightning-Fast Big Data Analysis to cart. $5.43, good condition, Sold by BooksRun rated 4.0 out of 5 stars, ships from Philadelphia, PA, UNITED STATES, published 2015 by O'Reilly Media.
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It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.