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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

Other NoSQL database systems

As mentioned earlier, MongoDB is currently the top ranked NoSQL database system. (see http://www.kdnuggets.com/2016/06/top-nosql-database-engines.html) It is followed by Apache Cassandra, Redis, Apache HBase, and Neoj4.

MongoDB uses the document data model: a database is a set of collections, each of which is a set of documents, each of which is a set of key-value pairs. Each document is stored as a BSON file.

Cassandra and HBase use the column data model: each data element is a triple: a key, its value, and a timestamp. Cassandra has its own query language, called CQL, that looks like SQL.

Redis uses the key-value data model: a database is a set of dictionaries, each of which is a set of key-value records, where the value is a sequence of fields.

Neoj4 uses the graph data model: a database is a graph whose nodes contain the data. It supports the Cypher query language. Other graph DBS that support Java include GraphBase and OrientDB.

These all have Java APIs, so...

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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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