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Enterprise Hadoop And Mapreduce

Vooraankondiging
Enterprise Hadoop And Mapreduce - Moczar, Lajos - ISBN: 9780133846218
Prijs: € 46,95 (onder voorbehoud)
Beschikbaarheid: Nog niet verschenen.
Bindwijze: Boek, Paperback
Genre: Databases
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Beschrijving

Large enterprises have rapidly discovered that Apache Hadoop can help them slash the costs of solving their toughest data storage, processing, transformation, and analysis challenges. As enterprises adopt Hadoop, enterprise developers must learn how to build enterprise-grade applications with them. That's where Enterprise Hadoop and MapReduce comes in. Following a quick conceptual overview for enterprise developers new to Hadoop, this guide is 100% focused on teaching how to build enterprise-class Hadoop data management solutions using serious, real-world examples.

 

Enterprise Hadoop and MapReduce is packed with real code, best practice developer tips, and higher-level "strategic tips" for working with Hadoop, HDFS, MapReduce, and Pig. You'll start with simple applications, iterating them to deepen and extend your expertise as you solve a wide spectrum of real-world challenges involving massive collections of diverse, unstructured data. As you practice, you'll gain deep practical insights for planning, developing, and deploying solutions that are exceptionally efficient in production, and can be easily maintained and extended over the long-term.

Details

Titel: Enterprise Hadoop And Mapreduce
auteur: Moczar, Lajos
Mediatype: Boek
Bindwijze: Paperback
Taal: Engels
Druk: 1
Aantal pagina's: 496
Uitgever: Pearson Education (us)
NUR: Databases
Afmetingen: 232 x 178
Gewicht: 1000 gr
ISBN/ISBN13: 9780133846218
Intern nummer: 27508133

Inhoudsopgave

Part I. Introduction
1. Why Use Hadoop?
2. The Hadoop Ecosystem
3. Hadoop Processing Topologies

 

Part 2. Hadoop Basics
4. HDFS: The Hadoop Filesystem
5. Setting Up Hadoop
6. MapReduce Basics
7. Pig Basics
8. Streaming

 

Part 3. Advanced Topics
9. Building a Processing Framework
10. Joins and Chains
11. Log Processing and Flume
12. Hadoop in the Cloud
13. Talking to HBase and Hive

 

Part 4. Hadoop in the Enterprise
14. Security, Kerberos
15. Monitoring
16. Performance and Tuning
17. Health and Maintenance

Winkelvoorraad

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