Enterprise Hadoop and MapReduce - Lajos Moczar

Enterprise Hadoop and MapReduce

(Autor)

Buch | Softcover
496 Seiten
2025
Addison-Wesley Educational Publishers Inc (Verlag)
978-0-13-384621-8 (ISBN)
39,50 inkl. MwSt
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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.

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

Erscheint lt. Verlag 28.2.2025
Verlagsort New Jersey
Sprache englisch
Maße 178 x 232 mm
Gewicht 1000 g
Themenwelt Schulbuch / Wörterbuch
Informatik Datenbanken Data Warehouse / Data Mining
ISBN-10 0-13-384621-0 / 0133846210
ISBN-13 978-0-13-384621-8 / 9780133846218
Zustand Neuware
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