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Ajouter au panierPaperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Packt Publishing 10/31/2018, 2018
ISBN 10 : 1789808812 ISBN 13 : 9781789808810
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
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Ajouter au panierPaperback or Softback. Etat : New. Big Data Processing with Apache Spark. Book.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Packt Publishing 2018-10-31, 2018
ISBN 10 : 1789808812 ISBN 13 : 9781789808810
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Ajouter au panierPaperback. Etat : New.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1789808812 ISBN 13 : 9781789808810
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 44,37
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Langue: anglais
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1789808812 ISBN 13 : 9781789808810
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Langue: anglais
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1789808812 ISBN 13 : 9781789808810
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Langue: anglais
Edité par Packt Publishing, Limited, 2018
ISBN 10 : 1789808812 ISBN 13 : 9781789808810
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 65,99
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Ajouter au panierEtat : New. Print on Demand pp. 142.
Vendeur : moluna, Greven, Allemagne
EUR 49,43
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Processing big data in real-time is challenging due to scalability, information consistency, and fault tolerance. This book shows you how you can use Spark to make your overall analysis workflow faster and more efficient. You ll learn all about the core con.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,64
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Ajouter au panierTaschenbuch. Etat : Neu. 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.