Real Time Data Analytics | Explained [Video]

Real-time data analytics is revolutionizing how companies can react instantly to changing conditions, optimize operations, and predict future trends. This capability is reshaping everything from retail to healthcare, finance to manufacturing, and beyond. In retail, Amazon exemplifies the power of real-time analytics. Their system tracks sales, predicts demand, and adjusts prices dynamically, sometimes hundreds of times daily. The technology stack includes Apache Kafka for data streaming, Apache Spark for processing, and machine learning frameworks like TensorFlow for predictive analytics. Similarly, Walmart uses real-time analytics to manage its supply chain, tracking inventory levels across thousands of stores and adjusting orders in real-time to prevent stockouts. Target has implemented a system that analyzes customer behavior in-store and online, allowing them to personalize offers and adjust store layouts in near real-time.