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)

Big data programming models

Big data programming models portray the style of and show the interface paradigm for developers to write big data applications and programs. Programming models are normally the core feature of big data frameworks, as they implicitly affect the execution model of big data processing engines, and also drive revealing and constructing big data applications and programs.

In this section, we will discuss and compare the major programming models for writing big data applications, based on their taxonomy.

MapReduce

MapReduce refers to a programming model that is suitable for processing big amounts of data. For example, Hadoop is capable of executing a MapReduce program written in several programming languages...