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Hadoop : the definitive guide /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly,
2012.
|
| Edición: | 3rd ed. |
| Colección: | Nutshell handbook.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 020 | |z 1449311520 |q (pbk.) | ||
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| 100 | 1 | |a White, Tom |q (Tom E.) | |
| 245 | 1 | 0 | |a Hadoop : |b the definitive guide / |c Tom White. |
| 250 | |a 3rd ed. | ||
| 260 | |a Sebastopol, CA : |b O'Reilly, |c 2012. | ||
| 300 | |a 1 online resource (xxiii, xxiii, 667 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Nutshell handbook | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 8 | |a Annotation |b Ready to unlock the power of your data? With 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 third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS)Run distributed computations with MapReduceUse Hadoops data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistenceDiscover common pitfalls and advanced features for writing real-world MapReduce programsDesign, build, and administer a dedicated Hadoop cluster or run Hadoop in the cloudLoad data from relational databases into HDFS, using SqoopPerform large-scale data processing with the Pig query languageAnalyze datasets with Hive, Hadoops data warehousing systemTake advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems. | |
| 505 | 0 | |a Meet Hadoop -- MapReduce -- The Hadoop distributed filesystem -- Hadoop I/O -- Developing a MapReduce application -- How MapReduce works -- MapReduce types and formats -- MapReduce features -- Setting up a Hadoop cluster -- Administering Hadoop -- Pig -- Hive -- HBase -- ZooKepper -- Sqoop -- Case studies -- Installing Apache Hadoop -- Cloudera's distribution including Apache Hadoop -- Preparing the NCDC weather data. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a Apache Hadoop. |
| 630 | 0 | 7 | |a Apache Hadoop (Computer file) |2 blmlsh |
| 630 | 0 | 7 | |a Apache Hadoop |2 fast |
| 650 | 0 | |a File organization (Computer science) | |
| 650 | 6 | |a Fichiers (Informatique) |x Organisation. | |
| 650 | 7 | |a File organization (Computer science) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a White, Tom (Tom E.). |t Hadoop. |b 3rd ed. |d Farnham : O'Reilly, 2012 |z 9781449311520 |w (OCoLC)769546523 |
| 830 | 0 | |a Nutshell handbook. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781449328917/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis28428797 | ||
| 938 | |a YBP Library Services |b YANK |n 8871682 | ||
| 994 | |a 92 |b IZTAP | ||