- ホーム
- > 洋書
- > 英文書
- > Computer / Databases
Full Description
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.
Contents
Part I. Introduction1. Why Use Hadoop?2. The Hadoop Ecosystem3. Hadoop Processing TopologiesPart 2. Hadoop Basics4. HDFS: The Hadoop Filesystem5. Setting Up Hadoop6. MapReduce Basics7. Pig Basics8. StreamingPart 3. Advanced Topics9. Building a Processing Framework10. Joins and Chains11. Log Processing and Flume12. Hadoop in the Cloud13. Talking to HBase and HivePart 4. Hadoop in the Enterprise14. Security, Kerberos15. Monitoring16. Performance and Tuning17. Health and Maintenance
