Book Image

Hands-On Big Data Modeling

By : James Lee, Tao Wei, Suresh Kumar Mukhiya
Book Image

Hands-On Big Data Modeling

By: James Lee, Tao Wei, Suresh Kumar Mukhiya

Overview of this book

Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently.
Table of Contents (17 chapters)

Tools for analyzing unstructured data

As mentioned, most of our current data is unstructured. We can find several tools that can facilitate data-mining tasks and artificial intelligence. One of the recent aspects of machine learning, known as deep learning, is becoming popular in analyzing unstructured datasets. In this section, we are going to analyze some of the open source tools that can be used in the analysis of big data.

Weka

Weka is one of the most popular modeling tools available in the research community; it can be used in data mining tasks as well as big data modeling. The application can facilitate various mining tasks, including preprocessing, classification, regression, clustering, association rules, and visualization...