My Account
Log in Registration
All
Cart
Highlights
Fiction Books
Non-Fiction Books
Children's Books
Rare Books
Music
DVD & Blu-Ray
Video Games
Category
Wishlists
Cart
All
Free Shipping in the UK
Trustpilot
Proud to be B-Corp

Hands-On Big Data Modeling James Lee

Hands-On Big Data Modeling By James Lee

Hands-On Big Data Modeling by James Lee

Reviews:
£31.59
Condition - New
Only 2 left
New

Summary

Big data modeling is very challenging to handle using traditional database modeling and management systems. This book will teach you how to model big data using the latest and more efficient tools such as ERWIN, ANACONDA (Python), and WEKA to model data.

Hands-On Big Data Modeling Summary

Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals by James Lee

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.

About James Lee

James Lee is a passionate software wizard working at one of the top Silicon Valley-based start-ups specializing in big data analysis. In the past, he has worked at big companies such as Google and Amazon. In his day job, he works with big data technologies, including Cassandra and Elasticsearch, and is an absolute Docker technology geek and IntelliJ IDEA lover with a strong focus on efficiency and simplicity. Apart from his career as a software engineer, he is keen on sharing his knowledge with others and guiding them, especially in relation to start-ups and programming. He has been teaching courses and conducting workshops on Java programming / IntelliJ IDEA since he was 21. James holds an MS degree in computer science from McGill University and has many years' experience as a teaching assistant in a variety of computer science classes. He also enjoys skiing and swimming, and is a passionate traveler. Tao Wei is a passionate software engineer who works in a leading Silicon Valley-based big data analysis company. Previously, Tao worked in big IT companies, such as IBM and Cisco. He has intensive experience in designing and building distributed, large-scale systems with proven high availability and reliability. Tao has an MS degree in computer science from McGill University and many years of experience as a teaching assistant in various computer science classes. When not working, he enjoys reading and swimming, and is a passionate photographer. Suresh Kumar Mukhiya is a PhD candidate currently associated with Western Norway University of Applied Sciences (HVL). He is also a web application developer and big data enthusiast specializing in information systems, model-driven software engineering, big data analysis, and artificial intelligence. He has completed a masters in information systems from the Norwegian University of Science and Technology, along with a thesis in processing mining. He also holds a bachelor's degree in computer science and information technology (BSc.CSIT).

Table of Contents

Table of Contents
  1. Introduction to Big Data and Data Management
  2. Data Modeling and Data Management platforms for Big Data
  3. Defining Data Model
  4. Categorizing Data Model
  5. Structures of Data Model
  6. Modeling Structured Data
  7. Modeling with Unstructured Data
  8. Modeling with Steaming Data
  9. Streaming Sensors Data
  10. Concept and Approaches of Big Data Management
  11. DBMS to BDMS
  12. Big Data Management Services and Vendors
  13. Modeling Twitter Feeds using Python
  14. Modeling Weather Data Points with Python
  15. Modeling IMDB Data Points with Python

Additional information

NLS9781788620901
9781788620901
1788620909
Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals by James Lee
James Lee
New
Paperback
Packt Publishing Limited
2018-11-30
306
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Customer Reviews - Hands-On Big Data Modeling