The world is producing an ever-increasing volume, velocity, and variety of data including data fr...
The world is producing an ever-increasing volume, velocity, and variety of data including data from devices. As we step into the era of Internet of things (IOT), for many consumers, batch analytics is no longer enough; they need sub-second analysis on fast-moving data. AWS delivers many technologies for solving big data and IOT problems. But what services should you use, why, when, and how? In this webinar where we simplify big data processing as a pipeline comprising various stages: ingest, store, process, analyze & visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, and durability. Finally, we provide a reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems.