Hello, I am new in Apache Spark. I need to process different time series data (numeric values which depend on time) and react on next actions: 1. Data is changing up or down too fast. 2. Data is changing constantly up or down too long.
For example, if the data have changed 30% up or down in the last five minutes (or less), then I need to send a special event. If the data have changed 50% up or down in two hours (or less), then I need to send a special event. Frequency of data changing is about 1000-3000 per second. And I need to react as soon as possible. Does Apache Spark fit well for this scenario or I need to search for another solution? Sorry for stupid question, but I am a total newbie. Regards
