Big Data Concept

  Introduction: The Rise of Real-Time Data in a Fast-Paced World Imagine you're running an e-commerce platform during Black Friday sales. Orders are flooding in, customer behaviors are shifting by the second, and you need to detect fraud, recommend products, and update inventory—all in real time. This is where Apache Flink shines. Born out of the need for handling massive data streams without missing a beat, Flink has evolved into a powerhouse for big data processing. It's an open-source framework that's all about speed, scalability, and now, smarts through AI integration. Apache Flink started as a research project at the Technical University of Berlin in 2009 and became a top-level Apache project in 2014. What sets it apart from batch-processing giants like Hadoop is its focus on streaming data. In a world where data is generated continuously—from social media feeds to IoT sensors—Flink processes it as it arrives, delivering insights instantly. And with AI capabilities...