In this comprehensive tutorial, we start with the theory behind real-time data streaming and processing, explaining key concepts through an engaging presentation. Then, we dive into the hands-on demo, setting up a complete pipeline to ingest, process, and visualize sensor data in real-time. 🔑 What You'll Learn: The fundamentals of real-time data streaming and its use cases. How to set up and configure AWS Kinesis Data Streams. Writing and executing Apache Flink SQL queries for data processing. Visualizing real-time data (temperature, humidity) in dynamic dashboards. 💻 Key Highlights: 0:00 Introduction & Overview 2:15 Presentation: Theory of Real-Time Data Streaming 7:30 Hands-On: Setting Up Kinesis Data Stream 10:50 Writing Flink SQL Queries 15:20 Real-Time Data Visualization in Flink 18:45 Troubleshooting Common Issues 📂 Resources: AWS Kinesis Documentation: https: // Apache Flink SQL Guide: https: // 💡 Pro Tips: Learn how to format and process real-time data efficiently. Discover practical applications of real-time data streaming in IoT and analytics. 🔔 Subscribe for more AWS, Flink, and real-time data tutorials! #AWS #ApacheFlink #Kinesis #RealTimeData #DataStreaming