Book Image

Java Data Analysis

By : John R. Hubbard
Book Image

Java Data Analysis

By: John R. Hubbard

Overview of this book

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you’ll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. In the process, you’ll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.
Table of Contents (20 chapters)
Java Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
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...