Edité par O'Reilly Media, United States, Sebastopol, 2015
ISBN 10 : 1491901632 ISBN 13 : 9781491901632
Langue: anglais
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
EUR 6,07
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Ajouter au panierPaperback. Etat : Very Good. Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You'll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This edition includes new case studies, updates on Hadoop 2, a refreshed HBase chapter, and new chapters on Crunch and Flume. Author Tom White also suggests learning paths for the book.Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster - or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop's data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Ajouter au panierPaperback. Etat : New. Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You'll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This edition includes new case studies, updates on Hadoop 2, a refreshed HBase chapter, and new chapters on Crunch and Flume. Author Tom White also suggests learning paths for the book.Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster - or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop's data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems.
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Ajouter au panierEtat : New. Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. Num Pages: 756 pages, black & white illustrations. BIC Classification: UNK. Category: (P) Professional & Vocational. Dimension: 181 x 233 x 39. Weight in Grams: 1298. . 2015. 4th Edition. Paperback. . . . .
Edité par O'Reilly Media, Inc, USA, 2015
ISBN 10 : 1491901632 ISBN 13 : 9781491901632
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 50,53
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 1111.
EUR 63,34
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New. Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. Num Pages: 756 pages, black & white illustrations. BIC Classification: UNK. Category: (P) Professional & Vocational. Dimension: 181 x 233 x 39. Weight in Grams: 1298. . 2015. 4th Edition. Paperback. . . . . Books ship from the US and Ireland.
EUR 73,18
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Ajouter au panierPaperback. Etat : New. Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You'll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This edition includes new case studies, updates on Hadoop 2, a refreshed HBase chapter, and new chapters on Crunch and Flume. Author Tom White also suggests learning paths for the book.Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster - or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop's data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems.
EUR 34,90
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Ajouter au panierEtat : Usado.
EUR 55,69
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Ajouter au panierPaperback. Etat : New. Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You'll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This edition includes new case studies, updates on Hadoop 2, a refreshed HBase chapter, and new chapters on Crunch and Flume. Author Tom White also suggests learning paths for the book.Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster - or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop's data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems.
Edité par Oreilly & Associates Inc, 2015
ISBN 10 : 1491901632 ISBN 13 : 9781491901632
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 70,84
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 4th edition. 727 pages. 9.25x7.25x1.75 inches. In Stock.
EUR 67,53
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : New. Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You'll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This edition includes new case studies, updates on Hadoop 2, a refreshed HBase chapter, and new chapters on Crunch and Flume. Author Tom White also suggests learning paths for the book.Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster - or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop's data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems.
Edité par O'Reilly Media, Inc, USA, 2015
ISBN 10 : 1491901632 ISBN 13 : 9781491901632
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 49,02
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1111.
Edité par Oreilly & Associates Inc, 2015
ISBN 10 : 1491901632 ISBN 13 : 9781491901632
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 60,01
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 4th edition. 727 pages. 9.25x7.25x1.75 inches. In Stock. This item is printed on demand.