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)

Types of data model

You should now understand that data models are very important in the construction of a real database. Most DBMS are constructed in a structural fashion. These models can be categorized into different types, based on their structures. Different models apply to different stages of the database design process. In this section, we will explore some of the most common types of data model that are used in real business scenarios.

Hierarchical database models

A hierarchical model uses a tree-like structure to represent the data, with a single parent, or a root, in each record. The record corresponds to a single table, holding information about a particular subject, and is connected to other records using links...