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Frank Kane's Taming Big Data with Apache Spark and Python
Real-world examples to help you analyze large datasets with Apache Spark
Taschenbuch von Frank Kane
Sprache: Englisch

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Beschreibung
Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster.
Key FeaturesUnderstand how Spark can be distributed across computing clusters
Develop and run Spark jobs efficiently using Python
A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark

Book Description
Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you'll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python.

Apache Spark has emerged as the next big thing in the Big Data domain - quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses.

Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease.
What you will learnFind out how you can identify Big Data problems as Spark problems
Install and run Apache Spark on your computer or on a cluster
Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets
Implement machine learning on Spark using the MLlib library
Process continuous streams of data in real time using the Spark streaming module
Perform complex network analysis using Spark's GraphX library
Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster

Who this book is for:
¿If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you.
Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster.
Key FeaturesUnderstand how Spark can be distributed across computing clusters
Develop and run Spark jobs efficiently using Python
A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark

Book Description
Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you'll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python.

Apache Spark has emerged as the next big thing in the Big Data domain - quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses.

Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease.
What you will learnFind out how you can identify Big Data problems as Spark problems
Install and run Apache Spark on your computer or on a cluster
Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets
Implement machine learning on Spark using the MLlib library
Process continuous streams of data in real time using the Spark streaming module
Perform complex network analysis using Spark's GraphX library
Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster

Who this book is for:
¿If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you.
Über den Autor
Frank Kane spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Details
Erscheinungsjahr: 2017
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 296
ISBN-13: 9781787287945
ISBN-10: 1787287947
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kane, Frank
Hersteller: Packt Publishing
Maße: 235 x 191 x 17 mm
Von/Mit: Frank Kane
Erscheinungsdatum: 30.06.2017
Gewicht: 0,557 kg
preigu-id: 120645188
Über den Autor
Frank Kane spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Details
Erscheinungsjahr: 2017
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 296
ISBN-13: 9781787287945
ISBN-10: 1787287947
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kane, Frank
Hersteller: Packt Publishing
Maße: 235 x 191 x 17 mm
Von/Mit: Frank Kane
Erscheinungsdatum: 30.06.2017
Gewicht: 0,557 kg
preigu-id: 120645188
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