Field Guide to Hadoop. An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies - Helion

ebook

Autor: Kevin Sitto, Marshall Presser
ISBN: 978-14-919-4788-3
stron: 132, Format: ebook
Data wydania: 2015-03-02
Księgarnia: Helion

Cena książki: 126,65 zł (poprzednio: 147,27 zł)
Oszczędzasz: 14% (-20,62 zł)

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If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections. You’ll quickly understand how Hadoop’s projects, subprojects, and related technologies work together.

Each chapter introduces a different topic—such as core technologies or data transfer—and explains why certain components may or may not be useful for particular needs. When it comes to data, Hadoop is a whole new ballgame, but with this handy reference, you’ll have a good grasp of the playing field.

Topics include:

Core technologies—Hadoop Distributed File System (HDFS), MapReduce, YARN, and Spark
Database and data management—Cassandra, HBase, MongoDB, and Hive
Serialization—Avro, JSON, and Parquet
Management and monitoring—Puppet, Chef, Zookeeper, and Oozie
Analytic helpers—Pig, Mahout, and MLLib
Data transfer—Scoop, Flume, distcp, and Storm
Security, access control, auditing—Sentry, Kerberos, and Knox
Cloud computing and virtualization—Serengeti, Docker, and Whirr

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Spis treści

Field Guide to Hadoop. An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies eBook -- spis treści

Preface
- Conventions Used in This Book
- Safari Books Online
- How to Contact Us
- Acknowledgments
1. Core Technologies
- Hadoop Distributed File System (HDFS)
  - Tutorial Links
  - Example Code
- MapReduce
  - Tutorial Links
  - Example Code
- YARN
  - Tutorial Links
  - Example Code
- Spark
  - Tutorial Links
  - Example Code
2. Database and Data Management
- Cassandra
  - Tutorial Links
  - Example Code
- HBase
  - Tutorial Links
  - Example Code
- Accumulo
  - Tutorial Links
  - Example Code
- Memcached
  - Tutorial Links
  - Example Code
- Blur
  - Tutorial Links
  - Example Code
- Solr
  - Tutorial Links
  - Example Code
- MongoDB
  - Tutorial Links
  - Example Code
- Hive
  - Tutorial Links
  - Example Code
- Spark SQL (formerly Shark)
  - Tutorial Links
  - Example Code
- Giraph
  - Tutorial Links
3. Serialization
- Avro
  - Tutorial Links
  - Example Code
- JSON
  - Tutorial Links
  - Example Code
- Protocol Buffers (protobuf)
  - Tutorial Links
  - Example Code
- Parquet
  - Tutorial Links
  - Example Code
4. Management and Monitoring
- Ambari
  - Tutorial Links
  - Example Code
- HCatalog
  - Tutorial Links
  - Example Code
- Nagios
  - Tutorial Links
- Puppet
  - Tutorial Links
  - Example Code
- Chef
  - Tutorial
  - Example Code
- ZooKeeper
  - Tutorial Links
  - Example Code
- Oozie
  - Tutorial Links
  - Example Code
- Ganglia
  - Tutorial Links
  - Example Code
5. Analytic Helpers
- MapReduce Interfaces
- Analytic Libraries
- Pig
  - Tutorial Links
  - Example Code
- Hadoop Streaming
  - Tutorial Links
  - Example Code
- Mahout
  - Tutorial Links
  - Example Code
- MLLib
  - Tutorial Links
  - Example Code
- Hadoop Image Processing Interface (HIPI)
  - Tutorial Links
  - Example Code
- SpatialHadoop
  - Tutorial Links
6. Data Transfer
- Sqoop
  - Tutorial Links
  - Example Code
- Flume
  - Tutorial Links
  - Example Code
- DistCp
  - Tutorial Links
  - Example Code
- Storm
  - Tutorial Links
  - Example Code
7. Security, Access Control, and Auditing
- Sentry
  - Tutorial Links
  - Example Code
- Kerberos
  - Tutorial Links
  - Example Code
- Knox
  - Tutorial Links
  - Example Code
8. Cloud Computing and Virtualization
- Serengeti
  - Tutorial Links
- Docker
  - Tutorial Links
  - Example Code
- Whirr
  - Tutorial Links
  - Example Code