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)

Exploring streaming sensor data from the Twitter API

In this section, we are going to use the Twitter streaming API to get some tweets. First we need to create a Twitter app. This can be done using the following steps:

  1. Go to https://apps.twitter.com/.
  2. Click on Create New App.
  3. Fill in your application details and create the application.
  1. Notice that consumer_key and consumer_secret are already generated for you. Copy them and run the following commands, replacing the underlined variables with your unique values:
$echo consumer_key >> auth
$echo consumer_secret >> auth
  1. Click Create my access token.
  2. Notice that access_token and access_token_secret now appear on your screen.
  3. Copy them and run the following commands, replacing the underlined variables...