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 management services

There are different varieties of big data management solution that organizations can choose from. Different vendors support different technological stacks, and have different pricing models. There are vendors that offer a variety of standalone or multi-featured big data management tools. In this section, we will present some services from data management vendors.

Data cleansing

Data cleansing is the process of identifying and fixing corrupt or fallacious records in a record set, table, or database. It also deals with identifying incomplete, incorrect, inaccurate, or irrelevant parts of the data, and then replacing, modifying, or deleting the infected data. Data entry and acquisition is inherently...