Using Log Data Streams for Real-time Analytics: 4 Common Use Cases

What is Real-time Analytics?

When referring to “analytics,” people often think of manipulating an existing set of structured data to yield insights.

“Real-time analytics” takes this definition a step further by accounting for the constant appending of new data to the existing data set and continuously re-analyzing the new dataset for new insights. But, for analytics to be real-time, data needs to be ingested immediately upon creation, delivering results in a matter of seconds, enabling those interpreting the data to react right away.

In this whitepaper we explore four use cases that exemplify why real-time analytics are critical to performance and user experience, highlighting key capabilities that enable real- time analytics in each layer of your system or application:

The Application Layer
The Database Layer
The Server/Hosting Layer
Cross System, Real-time Analytics

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