Overview
Real Time Analytics is the process of analyzing data as it is created. This allows businesses to make quick decisions based on current information. In this topic, students will learn about the tools and techniques used for real-time data processing, the importance of speed in decision-making, and how to implement real-time analytics in various applications. Understanding these concepts is essential for anyone interested in data engineering.
📚 Key Learning Objectives
- ✓ Define real-time analytics and its significance.
- ✓ Identify key tools used in real-time data processing.
- ✓ Explain the difference between batch and real-time processing.
- ✓ Implement a simple real-time analytics solution.
- ✓ Analyze case studies showcasing real-time analytics in action.
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