IoT and Big Data: Building Scalable Connected Systems

Connected devices generate massive amounts of information every second, but this data is only valuable if you know how to collect, process, and analyze it. Understanding the intersection of the Internet of Things (IoT) and Big Data is essential for building modern, scalable technology solutions.\n\nIn this text-based course, you will transition from understanding basic sensor concepts to designing robust data pipelines that can handle high-velocity device telemetry. You will learn how to architect systems that ingest, store, and analyze real-time data streams, preparing you to tackle modern data-driven challenges.\n\nWhat you'll learn:\n- Learn the core terminology, architecture, and protocols of IoT systems.\n- Understand how to ingest high-velocity data streams using modern messaging brokers.\n- Apply Big Data storage strategies to manage massive volumes of sensor telemetry.\n- Practice designing scalable data pipelines that process real-time and batch data.\n- Configure basic security protocols to protect connected devices and data transmission.\n- Explore edge computing concepts to process data closer to the source for lower latency.\n\nWe begin with foundational IoT definitions and architectural patterns before moving into Big Data ingestion, storage, and processing techniques. Through written explanations, structured scenarios, and step-by-step design exercises, you will gain practical knowledge of how these technologies work together.\n\nThis course is designed for beginners, developers, and aspiring data professionals who want to understand the synergy between IoT and Big Data. No prior experience with hardware or complex data infrastructure is required.\n\nStart reading today to unlock the potential of connected data and build the foundation for your next smart project.