IoT and Big Data: Designing Scalable Connected Systems

The explosion of connected devices has made the ability to collect, process, and analyze massive streams of data one of the most critical skills in technology today. Understanding how to bridge the gap between physical hardware and cloud-scale data processing is key to building the systems of tomorrow. This text-based course guides you through the foundational concepts of the Internet of Things (IoT) and Big Data, showing you how these technologies integrate to form scalable architectures. You will progress from basic terminology to designing data pipelines that handle real-time sensor information. What you'll learn: Understand core IoT architecture, sensors, and communication protocols; Learn how Big Data frameworks store and process massive streams of device data; Explore edge computing concepts to process data closer to the source; Design scalable data ingestion pipelines using industry-standard patterns; Apply security best practices to protect data flowing from devices to the cloud. You will start with the fundamental definitions of IoT and data architectures before exploring data collection, transport protocols like MQTT, and cloud-based storage solutions. Through written explanations and conceptual architectural exercises, you will learn how to plan robust, secure systems. This course is designed for beginners, tech enthusiasts, and aspiring system architects who want to understand the intersection of hardware and data without needing prior programming experience. Start reading today to unlock the potential of connected data and build your foundational knowledge in IoT and Big Data.