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Hands-On Big Data Modeling

Hands-On Big Data Modeling

Effective Database Design Techniques for Data Architects and Business Intelligence Professionals

by James LeeTao Wei and Suresh Kumar Mukhiya
Paperback
Publication Date: 30/11/2018

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Solve all big data problems by learning how to create efficient data models

Key Features

  • Create effective models that get the most out of big data
  • Apply your knowledge to datasets from Twitter and weather data to learn big data
  • Tackle different data modeling challenges with expert techniques presented in this book

Book Description

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.

What you will learn

  • Get insights into big data and discover various data models
  • Explore conceptual, logical, and big data models
  • Understand how to model data containing different file types
  • Run through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modeling
  • Create data models such as Graph Data and Vector Space
  • Model structured and unstructured data using Python and R

Who this book is for

This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.

ISBN:
9781788620901
9781788620901
Category:
Database software
Format:
Paperback
Publication Date:
30-11-2018
Language:
English
Publisher:
Packt Publishing Limited
Country of origin:
United Kingdom
Dimensions (mm):
92.46x74.93mm
James Lee

After a successful career in advertising in Singapore, James Aitchison (as James Lee) turned to full-time writing for children in 1996.

The 200+ books in his ‘Mr Midnight’ and ‘Mr Mystery’ series have been translated into ten languages and have sold in excess of 3 million copies.

The Singapore Straits Times called him ‘Asia’s most popular children’s author’ and this success was recognised when he was awarded the inaugural 2013 Australian Arts in Asia Award for Literature.

His new series for children is called 'Ghostworks'. James returned permanently to Australia in 2010 and lives in Langwarrin, outside Melbourne.

This title is in stock with our Australian supplier and should arrive at our Sydney warehouse within 2 - 3 weeks of you placing an order.

Once received into our warehouse we will despatch it to you with a Shipping Notification which includes online tracking.

Please check the estimated delivery times below for your region, for after your order is despatched from our warehouse:

ACT Metro: 2 working days
NSW Metro: 2 working days
NSW Rural: 2-3 working days
NSW Remote: 2-5 working days
NT Metro: 3-6 working days
NT Remote: 4-10 working days
QLD Metro: 2-4 working days
QLD Rural: 2-5 working days
QLD Remote: 2-7 working days
SA Metro: 2-5 working days
SA Rural: 3-6 working days
SA Remote: 3-7 working days
TAS Metro: 3-6 working days
TAS Rural: 3-6 working days
VIC Metro: 2-3 working days
VIC Rural: 2-4 working days
VIC Remote: 2-5 working days
WA Metro: 3-6 working days
WA Rural: 4-8 working days
WA Remote: 4-12 working days

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