Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

4,17 durchschnittliche Bewertung
( 6 Bewertungen bei Goodreads )
 
9781484209653: Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis
Alle Exemplare der Ausgabe mit dieser ISBN anzeigen:
 
 
Críticas:

“Programmers seeking to learn the Spark framework and its libraries will benefit greatly from this book. ... The book is well written, with a good balance between presenting simple computer science concepts, such as functional programming, and introducing Scala, the Spark core language. ... the book provides substantial information on cluster-based data analysis using Spark, a prominent framework used by data scientists. It is very nicely written, with interesting contemporary considerations and several source code examples.” (Andre Maximo, Computing Reviews, computingreviews.com, June, 2016)

Reseña del editor:

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert.

Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics.

This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources.

The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it.

What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language.

There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost―possibly a big boost―to your career.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Neu kaufen Angebot ansehen

Versand: Gratis
Von Vereinigtes Königreich nach USA

Versandziele, Kosten & Dauer

In den Warenkorb

Beste Suchergebnisse bei AbeBooks

1.

Mohammed Guller
Verlag: aPress, United States (2015)
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Paperback Erstausgabe Anzahl: 1
Anbieter
The Book Depository
(London, Vereinigtes Königreich)
Bewertung
[?]

Buchbeschreibung aPress, United States, 2015. Paperback. Zustand: New. 1st ed.. Language: English . Brand New Book. Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert.Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You ll learn the basics of functional programming in Scala, so that you can write Spark applications in it.What s more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language.There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost-possibly a big boost-to your career. Bestandsnummer des Verkäufers SPR9781484209653

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 22,68
Währung umrechnen

In den Warenkorb

Versand: Gratis
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

2.

Mohammed Guller
Verlag: aPress, United States (2015)
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Paperback Erstausgabe Anzahl: 1
Anbieter
Book Depository International
(London, Vereinigtes Königreich)
Bewertung
[?]

Buchbeschreibung aPress, United States, 2015. Paperback. Zustand: New. 1st ed.. Language: English . Brand New Book. Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert.Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You ll learn the basics of functional programming in Scala, so that you can write Spark applications in it.What s more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language.There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost-possibly a big boost-to your career. Bestandsnummer des Verkäufers SPR9781484209653

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 24,66
Währung umrechnen

In den Warenkorb

Versand: Gratis
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

3.

Mohammed Guller
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Anzahl: 1
Anbieter
BWB
(Valley Stream, NY, USA)
Bewertung
[?]

Buchbeschreibung Zustand: New. Depending on your location, this item may ship from the US or UK. Bestandsnummer des Verkäufers 97814842096530000000

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 24,66
Währung umrechnen

In den Warenkorb

Versand: Gratis
Innerhalb USA
Versandziele, Kosten & Dauer

4.

Mohammed Guller
Verlag: Apress 2015-12-30 (2015)
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Anzahl: 4
Anbieter
Chiron Media
(Wallingford, Vereinigtes Königreich)
Bewertung
[?]

Buchbeschreibung Apress 2015-12-30, 2015. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Bestandsnummer des Verkäufers NU-GRD-05339517

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 20,49
Währung umrechnen

In den Warenkorb

Versand: EUR 4,50
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

5.

Guller, Mohammed
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2015)
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Softcover Erstausgabe Anzahl: 6
Bewertung
[?]

Buchbeschreibung Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2015. Zustand: New. Num Pages: 200 pages, biography. BIC Classification: UNC; UNF. Category: (P) Professional & Vocational. Dimension: 254 x 178. . . 2015. 1st ed. 2015. Paperback. . . . . . Bestandsnummer des Verkäufers V9781484209653

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 27,20
Währung umrechnen

In den Warenkorb

Versand: Gratis
Von Irland nach USA
Versandziele, Kosten & Dauer

6.

Guller, Mohammed
Verlag: Apress
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu PAPERBACK Anzahl: 3
Anbieter
WFL
(Holtsville, NY, USA)
Bewertung
[?]

Buchbeschreibung Apress. PAPERBACK. Zustand: New. 1484209656 Brand New , Ready to ship, 5-8 business days worldwide delivery. Bestandsnummer des Verkäufers DG#A117635

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 24,75
Währung umrechnen

In den Warenkorb

Versand: EUR 3,95
Innerhalb USA
Versandziele, Kosten & Dauer

7.

Guller, Mohammed
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Softcover Anzahl: 6
Anbieter
Kennys Bookstore
(Olney, MD, USA)
Bewertung
[?]

Buchbeschreibung Springer-Verlag Berlin and Heidelberg GmbH & Co. KG. Zustand: New. Num Pages: 200 pages, biography. BIC Classification: UNC; UNF. Category: (P) Professional & Vocational. Dimension: 254 x 178. . . 2015. 1st ed. 2015. Paperback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9781484209653

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 29,08
Währung umrechnen

In den Warenkorb

Versand: Gratis
Innerhalb USA
Versandziele, Kosten & Dauer

8.

Mohammed Guller
Verlag: Apress
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Paperback Anzahl: 1
Anbieter
THE SAINT BOOKSTORE
(Southport, Vereinigtes Königreich)
Bewertung
[?]

Buchbeschreibung Apress. Paperback. Zustand: New. New copy - Usually dispatched within 2 working days. Bestandsnummer des Verkäufers B9781484209653

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 21,37
Währung umrechnen

In den Warenkorb

Versand: EUR 7,83
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

9.

Mohammed Guller
Verlag: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG (2015)
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Anzahl: 4
Anbieter
Books2Anywhere
(Fairford, GLOS, Vereinigtes Königreich)
Bewertung
[?]

Buchbeschreibung Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, 2015. PAP. Zustand: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Bestandsnummer des Verkäufers GB-9781484209653

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 19,29
Währung umrechnen

In den Warenkorb

Versand: EUR 10,16
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

10.

Mohammed Guller
ISBN 10: 1484209656 ISBN 13: 9781484209653
Neu Anzahl: 3
Anbieter
Speedy Hen LLC
(Sunrise, FL, USA)
Bewertung
[?]

Buchbeschreibung Zustand: New. Bookseller Inventory # ST1484209656. Bestandsnummer des Verkäufers ST1484209656

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 29,89
Währung umrechnen

In den Warenkorb

Versand: Gratis
Innerhalb USA
Versandziele, Kosten & Dauer

Es gibt weitere Exemplare dieses Buches

Alle Suchergebnisse ansehen