Many organisations have trouble when attempting real-time analysis on large volumes of data. The very nature of real-time information means it is in its raw form, usually streamed in from various data sources and meaningful analysis or pattern identification often cannot be initiated until after the ETL/ELT process completed. However, by exploiting the power of Azure Data Explorer, insights can be derived directly from the raw, real-time data using a simple query language.
In this session, we are going to see how we can address the problem of real-time analysis using Azure Data Explorer and explore this solution in a demo! We will see how Azure Data Explorer allows the exploration of fast-flowing and rapidly changing data as it is streamed into a data consumer, before any transformations take place!
Whether you are streaming data from applications, IoT devices or even websites – see how Azure Data Explorer could help you get the insights you need in seconds!
