Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength of stream processing is that it can provide insights faster, often within milliseconds to seconds. With that being said, stream processing naturally fits with time series data, as most continuous data series are time series data.
In this webinar, Riccardo will discuss how Stream processing, from an information-need perspective, requires considering order, context and responsiveness. For these three characteristics, state-of-the-art stream processing provides the necessary theoretical foundations. But a language that reaches the right level of expressiveness is needed. This is where Flux, InfluxDB's scripting and query language, comes in.
Register today for this discussion titled "Process Continuous Streams of Large Volumes of Data to Detect Conditions and Anomalies in an Instant."
Audio is streamed over the Internet, so turn up your computer speakers!