How can you store real-time data streams for analytics?
Real-time data streams are continuous flows of data that are generated by various sources, such as sensors, weblogs, social media, transactions, and events. They are often unstructured, high-volume, and fast-changing, which pose challenges for data storage and management. How can you store real-time data streams for analytics? In this article, you will learn about some common approaches and tools that can help you handle real-time data streams effectively and efficiently.