Analyzing the Features of Java And Map Reduce on Hadoop

 
9783659788475: Analyzing the Features of Java And Map Reduce on Hadoop

Hadoop, the Apache Software Foundation’s open source and Java-based implementation of the Map/Reduce framework, is a distributed computing framework designed for data-intensive distributed applications. It provides the tools for processing vast amounts of data using the Map/Reduce framework and, additionally, it implements a distributed file-system similar to Google’s file system. It can be used to process vast amounts of data in-parallel on large clusters in a reliable and fault-tolerant fashion. For a long time Java is being used by many programmers for processing data. In this book we have compared and analyzed the performance of Hadoop with Java, Hadoop with Hadoop Optimize and Hadoop Optimize with Java in terms of different performance criterions, such as, processing (CPU utilization), storage and efficiency when they process data. Our experimental results show an improvement in execution time when using optimized Map/Reduce Algorithm. On comparison of Hadoop and Java, Hadoop is better when we have a multi node cluster and the data size is large. However, when we have a single node and small data size, even Java can perform better.

"Sinopsis" puede pertenecer a otra edición de este libro.

About the Author:

Prof. Gurinder Pal Singh Gosal is a faculty in the Department of Computer Sc., Punjabi University, Patiala. He was also a Research Professional and GRA at University of Georgia, Athens, USA. Ms. Livjit Kaur was a Research Student in the Department of Computer Sc., Punjabi University, Patiala and currently works at Panjab University, Chandigarh.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: EUR 2,99
De Alemania a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

Gosal, Gurinder Pal Singh / Kaur, Livjit
ISBN 10: 3659788473 ISBN 13: 9783659788475
Nuevos Cantidad: 1
Librería
Valoración
[?]

Descripción Estado de conservación: New. Publisher/Verlag: LAP Lambert Academic Publishing | Hadoop, the Apache Software Foundation's open source and Java-based implementation of the Map/Reduce framework, is a distributed computing framework designed for data-intensive distributed applications. It provides the tools for processing vast amounts of data using the Map/Reduce framework and, additionally, it implements a distributed file-system similar to Google's file system. It can be used to process vast amounts of data in-parallel on large clusters in a reliable and fault-tolerant fashion. For a long time Java is being used by many programmers for processing data. In this book we have compared and analyzed the performance of Hadoop with Java, Hadoop with Hadoop Optimize and Hadoop Optimize with Java in terms of different performance criterions, such as, processing (CPU utilization), storage and efficiency when they process data. Our experimental results show an improvement in execution time when using optimized Map/Reduce Algorithm. On comparison of Hadoop and Java, Hadoop is better when we have a multi node cluster and the data size is large. However, when we have a single node and small data size, even Java can perform better. | Format: Paperback | Language/Sprache: english | 84 pp. Nº de ref. de la librería K9783659788475

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 33,51
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Gosal Gurinder Pal Singh
Editorial: LAP Lambert Academic Publishing (2016)
ISBN 10: 3659788473 ISBN 13: 9783659788475
Nuevos Paperback Cantidad: 1
Impresión bajo demanda
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9783659788475_lsuk

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 32,87
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,41
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Gosal Gurinder Pal Singh
Editorial: LAP Lambert Academic Publishing (2015)
ISBN 10: 3659788473 ISBN 13: 9783659788475
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Pbshop
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2015. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IQ-9783659788475

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 37,26
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
A Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Gosal Gurinder Pal Singh
Editorial: LAP Lambert Academic Publishing (2015)
ISBN 10: 3659788473 ISBN 13: 9783659788475
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2015. PAP. Estado de conservación: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería LQ-9783659788475

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 35,06
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,24
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Gosal Gurinder Pal Singh, Kaur Livjit
Editorial: LAP Lambert Academic Publishing, United States (2015)
ISBN 10: 3659788473 ISBN 13: 9783659788475
Nuevos Paperback Cantidad: > 20
Impresión bajo demanda
Librería
The Book Depository EURO
(London, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, United States, 2015. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****.Hadoop, the Apache Software Foundation s open source and Java-based implementation of the Map/Reduce framework, is a distributed computing framework designed for data-intensive distributed applications. It provides the tools for processing vast amounts of data using the Map/Reduce framework and, additionally, it implements a distributed file-system similar to Google s file system. It can be used to process vast amounts of data in-parallel on large clusters in a reliable and fault-tolerant fashion. For a long time Java is being used by many programmers for processing data. In this book we have compared and analyzed the performance of Hadoop with Java, Hadoop with Hadoop Optimize and Hadoop Optimize with Java in terms of different performance criterions, such as, processing (CPU utilization), storage and efficiency when they process data. Our experimental results show an improvement in execution time when using optimized Map/Reduce Algorithm. On comparison of Hadoop and Java, Hadoop is better when we have a multi node cluster and the data size is large. However, when we have a single node and small data size, even Java can perform better. Nº de ref. de la librería AAV9783659788475

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 47,37
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,41
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Gurinder Pal Singh Gosal
Editorial: LAP Lambert Academic Publishing Okt 2015 (2015)
ISBN 10: 3659788473 ISBN 13: 9783659788475
Nuevos Taschenbuch Cantidad: 1
Librería
Rheinberg-Buch
(Bergisch Gladbach, Alemania)
Valoración
[?]

Descripción LAP Lambert Academic Publishing Okt 2015, 2015. Taschenbuch. Estado de conservación: Neu. Neuware - Hadoop, the Apache Software Foundation's open source and Java-based implementation of the Map/Reduce framework, is a distributed computing framework designed for data-intensive distributed applications. It provides the tools for processing vast amounts of data using the Map/Reduce framework and, additionally, it implements a distributed file-system similar to Google's file system. It can be used to process vast amounts of data in-parallel on large clusters in a reliable and fault-tolerant fashion. For a long time Java is being used by many programmers for processing data. In this book we have compared and analyzed the performance of Hadoop with Java, Hadoop with Hadoop Optimize and Hadoop Optimize with Java in terms of different performance criterions, such as, processing (CPU utilization), storage and efficiency when they process data. Our experimental results show an improvement in execution time when using optimized Map/Reduce Algorithm. On comparison of Hadoop and Java, Hadoop is better when we have a multi node cluster and the data size is large. However, when we have a single node and small data size, even Java can perform better. 84 pp. Englisch. Nº de ref. de la librería 9783659788475

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 35,90
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 17,13
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Gurinder Pal Singh Gosal
Editorial: LAP Lambert Academic Publishing Okt 2015 (2015)
ISBN 10: 3659788473 ISBN 13: 9783659788475
Nuevos Taschenbuch Cantidad: 1
Librería
BuchWeltWeit Inh. Ludwig Meier e.K.
(Bergisch Gladbach, Alemania)
Valoración
[?]

Descripción LAP Lambert Academic Publishing Okt 2015, 2015. Taschenbuch. Estado de conservación: Neu. Neuware - Hadoop, the Apache Software Foundation's open source and Java-based implementation of the Map/Reduce framework, is a distributed computing framework designed for data-intensive distributed applications. It provides the tools for processing vast amounts of data using the Map/Reduce framework and, additionally, it implements a distributed file-system similar to Google's file system. It can be used to process vast amounts of data in-parallel on large clusters in a reliable and fault-tolerant fashion. For a long time Java is being used by many programmers for processing data. In this book we have compared and analyzed the performance of Hadoop with Java, Hadoop with Hadoop Optimize and Hadoop Optimize with Java in terms of different performance criterions, such as, processing (CPU utilization), storage and efficiency when they process data. Our experimental results show an improvement in execution time when using optimized Map/Reduce Algorithm. On comparison of Hadoop and Java, Hadoop is better when we have a multi node cluster and the data size is large. However, when we have a single node and small data size, even Java can perform better. 84 pp. Englisch. Nº de ref. de la librería 9783659788475

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 35,90
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 17,13
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío