Description: Learning Spark : Lightning-Fast Big Data Analysis by Holden Karau. Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3 , 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. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. 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
Price: 25 USD
Location: Pacifica, California
End Time: 2024-11-01T20:44:20.000Z
Shipping Cost: 5.38 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Format: Trade Paperback
Item Width: 7.1in.
Number of Pages: 274 Pages
Item Length: 9.3in.
Item Height: 0.6in.
Language: English
Publication Year: 2015
Publication Name: Learning Spark : Lightning-Fast Data Analysis
Item Weight: 19.5 Oz
Subject Area: Data Analysis
Author: Andy Konwinski, Matei Zaharia, Holden Karau, Patrick Wendell
Publisher: O'reilly, Incorporated
Type: Textbook
