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

Why NoSQL and why MongoDB?


In the past decade, dataset sizes, especially for web-based enterprises, have been growing incredibly fast. Storage demands are now in the terabyte range. As this demand increases, developers have to choose between expanding their machine size (scaling up) or distributing their data among many independent machines (scaling out). A growing database is easier to manage, scaling up, but that option is more expensive and eventually limited in size. Scaling out is clearly a better option, but standard Rdbs do not distribute easily or cheaply.

MongoDB is a document-based system that easily scales out. It automatically balances its databases across a cluster, redistributing documents transparently, making it easy to add machines when needed.