Riding the Streaming Analytics Wave
Data Has a Half-Life
In the modern world what makes the difference is the shelf-life of your data analysis. When you run analysis on your data to derive insights, these insights rely on the recency of the data. All you need is a stream processing engine integrated with a fast data store. Changes in core data in the data store flow through streaming analytics to create derived data. If it’s all integrated, performance is excellent for high volume and low latency.
Stream Processing: Instant Insight Into Data As It Flows
Read this e-book from RTInsights to get an overview of stream processing, including the popular use cases and what to plan for.