IoT and Big Data: Building Scalable Connected Systems

This module introduces students to the development of IoT ecosystems through project management and repository tools, enabling effective integration and file management for development teams. Students will learn about Git version control system, including its installation and essential commands. The module covers creating repository accounts, setting up initial repositories, and mastering repository-related commands. It also explores the integration of Node-Red with Git, teaching students how to configure Node-Red and establish connections with Git repositories, providing a foundation for collaborative IoT project development with proper version control practices.

This module provides an in-depth exploration of database types used in IoT applications. Students will learn to identify key elements related to proper data management and understand the implications of storing large data volumes in both relational and non-relational databases. The module covers relational databases with a focus on integrating Node-Red with MySQL and mastering SQL commands. It also explores non-relational databases through Firebase, teaching account creation, Node-Red integration, and Firebase operations. The module concludes with an introduction to Big Data concepts and their relationship with IoT, preparing students for handling substantial data volumes in IoT ecosystems.

This module focuses on user interaction interfaces, a fundamental component of IoT ecosystems. Students will learn to develop interfaces for various mobile devices, enhancing the user experience in IoT applications. The module covers dashboard creation in Node-Red, including installation procedures and building initial dashboards. It also explores Android dashboards through Android Studio installation and development processes. Additionally, students will learn about web-based dashboards with a focus on implementing graphs and data visualization on web platforms, equipping them with the skills to create responsive, user-friendly interfaces across multiple platforms for effective IoT system interaction.

This bonus module explores the relationship between Big Data and Internet of Things, demonstrating how proper management of these technologies enables the creation of production-level IoT ecosystems. Students will learn about data treatment, including data types and Python-based data handling using Pandas libraries. The module covers data visualization techniques through Plotly, teaching account creation and integration with Python for creating analytical web applications. It concludes with an introduction to clustering techniques in data mining, guiding students through the design process for comprehensive IoT and Big Data solutions, preparing them to implement sophisticated data analysis in IoT applications.