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 a weather station

Let's get our hands dirty with steaming data. Assuming that you have your virtual machine on and ready to use, let's start with these steps:

  1. Open a Terminal shell. Change into the sensor directory. In this case, suppose that you have downloaded them into the Downloads folder, as follows:
cd Downloads/HandsOnBigData/CH09/sensor
  1. View the streaming weather station data. Run stream-data.py to see the streaming data from the weather station:
./stream-data.py

Running the preceding script will generate output similar to the following:

The measurements are appearing as they are produced by the weather station. By looking at the timestamp, we can see that the data arrives about every second. Additionally, different measurement types are produced at different frequencies. For example, R1 is measured every second, but...