Big Data Processing with Apache Spark : Efficiently tackle large datasets and big data analysis with Spark and Python

Language: English

Published by Packt Publishing, 2018

1789808812 / 9781789808810

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - No need to spend hours ploughing through endless data - let Spark, one of the fastest big data processing engines available, do the hard work for you.Key Features: Get up and running with Apache Spark and Python Integrate Spark with AWS for real-time analytics Apply processed data streams to machine learning APIs of Apache SparkBook Description:Processing big data in real time is challenging due to scalability, information consistency, and fault-tolerance. This book teaches you how to use Spark to make your overall analytical workflow faster and more efficient. You'll explore all core concepts and tools within the Spark ecosystem, such as Spark Streaming, the Spark Streaming API, machine learning extension, and structured streaming.You'll begin by learning data processing fundamentals using Resilient Distributed Datasets (RDDs), SQL, Datasets, and Dataframes APIs. After grasping these fundamentals, you'll move on to using Spark Streaming APIs to consume data in real time from TCP sockets, and integrate Amazon Web Services (AWS) for stream consumption.By the end of this book, you'll not only have understood how to use machine learning extensions and structured streams but you'll also be able to apply Spark in your own upcoming big data projects.What You Will Learn: Write your own Python programs that can interact with Spark Implement data stream consumption using Apache Spark Recognize common operations in Spark to process known data streams Integrate Spark streaming with Amazon Web Services (AWS) Create a collaborative filtering model with the movielens dataset Apply processed data streams to Spark machine learning APIsWho this book is for:Data Processing with Apache Spark is for you if you are a software engineer, architect, or IT professional who wants to explore distributed systems and big data analytics. Although you don't need any knowledge of Spark, prior experience of working with Python is recommended.

Seller Inventory # 9781789808810

Title
Big Data Processing with Apache Spark : Efficiently tackle large datasets and big data analysis with Spark and Python
Author
Manuel Ignacio Franco Galeano
Publisher
Packt Publishing
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1789808812
ISBN 13
9781789808810
Item weight
280 grams
Dimensions
235x191x9 mm

AHA-BUCH GmbH

Einbeck, Germany

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