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)

Levels of data modeling

An enterprise is closely connected with people, place, animations, or things, and their interests. A data model provides a visual representation of these aspects. In addition to providing visual cues, a data model acts as a communication guideline between technical and non-technical stakeholders, such as people. Since a data model is composed of symbols that illustrate the concepts that should be communicated and agreed upon, it is often termed the blueprint of the data. These so-called blueprints are constructed at several distinct levels and details, ranging from high-level requirements, to basic architectural layout requirements, to detailed design specifications. These blueprints (or models) can be constructed at different levels of design, referred to as levels of data modeling. There are three levels of data modeling: conceptual data modeling, logical...