This Field Guide to Hadoop provides an introduction to Hadoop, its ecosystem, and aligned technologies, designed for big data processing. Published by O'Reilly Media in March 2015, this technical guide covers core technologies such as Hadoop Distributed File System (HDFS), MapReduce, YARN, and Spark. It also delves into essential database and data management tools like Cassandra, HBase, MongoDB, and Hive, alongside serialization formats including Avro, JSON, and Parquet. The guide further explores management and monitoring tools like Puppet, Chef, and Zookeeper, analytical helpers such as Pig and Mahout, data transfer tools like Scoop and Flume, security features like Sentry and Kerberos, and cloud computing aspects with Docker and Whirr.
This manual serves as a comprehensive resource for understanding and navigating the complex landscape of big data technologies. It details the functionality and integration of various components within the Hadoop ecosystem, offering insights into data processing, management, and analysis. The content is structured to assist users in grasping the fundamental concepts and practical applications of these technologies, enabling effective implementation and utilization for big data challenges.
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
Author: Sitto, Kevin
Author: Presser, Marshall
Publisher: O'Reilly Media
Illustration: n
Language: ENG
Title: Field Guide to Hadoop: An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies
Pages: 00132 (Encrypted EPUB)
On Sale: 2015-03-02
SKU-13/ISBN: 9781491947937
Category: Computers : Data Processing
Category: Computers : Database Management - Database Mining
Category: Computers : Database Management - General
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
Author: Sitto, Kevin
Author: Presser, Marshall
Publisher: O'Reilly Media
Illustration: n
Language: ENG
Title: Field Guide to Hadoop: An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies
Pages: 00132 (Encrypted EPUB)
On Sale: 2015-03-02
SKU-13/ISBN: 9781491947937
Category: Computers : Data Processing
Category: Computers : Database Management - Database Mining
Category: Computers : Database Management - General
