Overview
Curriculum
Gain a strong foundation in real-time analytics and its role in today’s data-driven world. This module explores the architecture, tools, and technologies that enable processing of high-velocity data streams from sources like IoT devices. We’ll learn how to build scalable pipelines using event hubs and stream processors, understand real-world applications across industries, and explore cloud-based solutions that support low-latency, high-volume data workflows.
What You'll Learn
- Explain how advancements in AI, machine learning, and infrastructure make real-time analytics feasible
- Describe the evolution of data storage, transfer, and compute, and its impact on scalability and cost
- Identify the role of sensors, APIs, and SDKs in powering real-time IoT applications
- Build an end-to-end ETL pipeline in the cloud for real-time data processing
- Implement real-time data streaming from a source (e.g., credit card transactions) to an event ingestor
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