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Java Data Analysis

You're reading from Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781787285651

Length 412 pages

Edition 1st Edition

Languages

Java

Tools

RapidMiner

Concepts

Big Data

Author (1):

John R. Hubbard

View More author details

Table of Contents (14) Chapters

Preface

1. Introduction to Data Analysis FREE CHAPTER

2. Data Preprocessing

3. Data Visualization

4. Statistics

5. Relational Databases

6. Regression Analysis

7. Classification Analysis

8. Cluster Analysis

9. Recommender Systems

10. NoSQL Databases

11. Big Data Analysis with Java

A. Java Tools

Index

Apache Hadoop

Apache Hadoop is an open-source software system that allows for the distributed storage and processing of very large datasets. It implements the MapReduce framework.

The system includes these modules:

Hadoop Common: The common libraries and utilities that support the other Hadoop modules
Hadoop Distributed File System (HDFS™): A distributed filesystem that stores data on commodity machines, providing high-throughput access across the cluster
Hadoop YARN: A platform for job scheduling and cluster resource management
Hadoop MapReduce: An implementation of the Google MapReduce framework

Hadoop originated as the Google File System in 2003. Its developer, Doug Cutting, named it after his son's toy elephant. By 2006, it had become HDFS, the Hadoop Distributed File System.

In April of 2006, using MapReduce, Hadoop set a record of sorting 1.8 TB of data, distributed in 188 nodes, in under 48 hours. Two years later, it set the world record by sorting one terabyte of data in 209...

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Authors (1)

John R. Hubbard

John R. Hubbard

John R. Hubbard has been doing computer-based data analysis for over 40 years at colleges and universities in Pennsylvania and Virginia. He holds an MSc in computer science from Penn State University and a PhD in mathematics from the University of Michigan. He is currently a professor of mathematics and computer science, Emeritus, at the University of Richmond, where he has been teaching data structures, database systems, numerical analysis, and big data. Dr. Hubbard has published many books and research papers, including six other books on computing. Some of these books have been translated into German, French, Chinese, and five other languages. He is also an amateur timpanist.

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