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)

AsterixDB

AsterixDB was originally conceived at the University of California, Irvine. It is a full-fledged NoSQL DBMS that provides ACID guarantees. It is a scalable, open source BDMS.

With various storage and indexing support options, including managed datasets, external datasets, and secondary indexes, AsterixDB is very flexible and has a fast data-consumption rate.

It extends object-oriented data and JSON for easy processing of data of the semi-structured form. For easy processing, it can construct clusters for distributed processing, and can be extended to more than 1,000 cores and 500 discs.

Data models

AsterixDB has semi-structured NoSQL-style data models resulting from extending JSON with object database ideas. There...