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You're reading from Hands-On Big Data Modeling Effective database design techniques for data architects and business intelligence professionals

Product type Paperback

Published in Nov 2018

Publisher Packt

ISBN-13 9781788620901

Length 306 pages

Edition 1st Edition

Languages

Python

Tools

Bitcoin

Concepts

Big Data

Authors (3):

James Lee

Tao Wei

Suresh Kumar Mukhiya

View More author details

Table of Contents (17) Chapters

Preface

1. Introduction to Big Data and Data Management

2. Data Modeling and Management Platforms FREE CHAPTER

3. Defining Data Models

4. Categorizing Data Models

5. Structures of Data Models

6. Modeling Structured Data

7. Modeling with Unstructured Data

8. Modeling with Streaming Data

9. Streaming Sensor Data

10. Concept and Approaches of Big-Data Management

11. DBMS to BDMS

12. Modeling Bitcoin Data Points with Python

13. Modeling Twitter Feeds Using Python

14. Modeling Weather Data Points with Python

15. Modeling IMDb Data Points with Python

16. Other Books You May Enjoy

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Modeling with the IMDb dataset

Most of the libraries used in this hands-on exercises must be familiar to you by now. The libraries used in modeling the dataset are as follows:

pandas: For data structure and data analysis in an easier way
NumPy: For adding support for large, multi-dimensional arrays and matrices
scikit-learn: For most machine learning algorithms
Matplotlib: For generating graphs

Starting the platform

Let's start modeling the data using Python. The first step in any modeling is getting your system started. I am using IPython Jupyter (http://jupyter.org/) to run the code. The easiest way to get started with Jupyter is to install it using Anaconda (https://anaconda.org/). Download the right platform from...

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Authors (3)

Lee

Joanna Lee has more than 8 years of experience in game development. She has designed and programmed various video games. She first started working with Unreals game engine in 2005 and is very excited to be able to author a book about the newest Unreal Engine 4. She has also worked with many other engines as well as reviewed books and videos on Cry Engine 4.

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Kumar Mukhiya

Suresh Kumar Mukhiya is a PhD candidate, currently affiliated to the Western Norway University of Applied Sciences (HVL). He is a big data enthusiast, specializing in Information Systems, Model-Driven Software Engineering, Big Data Analysis, Artificial Intelligence and Frontend development. He has completed a Masters in Information Systems from the Norwegian University of Science and Technology (NTNU, Norway) along with a thesis in processing mining. He also holds a bachelor's degree in computer science and information technology (BSc.CSIT) from Tribhuvan University, Nepal, where he was decorated with the Vice-Chancellor's Award for obtaining the highest score. He is a passionate photographer and a resilient traveler.

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Wei

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, including 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' experience as a teaching assistant in a variety of computer science classes. In his spare time, he enjoys reading and swimming, and is a passionate photographer.

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