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Java Data Analysis

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

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Table of Contents (20) Chapters Close

Java Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
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 Java Tools Index

SQL versus NoSQL


Databases are generalized data structures. Both store data, either internally in memory or externally on disk or in the cloud. As data containers, they have a logical structure and a physical structure.

Consider the simplest of data structures: a one-dimensional array a[] of strings. The logical structure of this is shown in Figure 10-2.

Figure 10-2. An array of strings

It is an object, referenced by the variable a. Inside that object is a sequence of numbered storage compartments, each capable of holding a string object.

However, the physical structure, hidden from the programmer, is a sequence of bytes in memory. Using two-byte Unicode characters, it will allocate 16 bytes for the encodings of the characters of the eight string, and it will also store information, such as the name of the array (a), the datatype of the elements being stored (String), and the hexadecimal starting location of the sequence of 16 bytes, elsewhere.

The same dichotomy holds for database structures...

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