Hi Alex, Hope following links help you to understand why Spark is good for your usecase.
- https://www.youtube.com/watch?v=tKkneWcAIqU&feature=youtu.be - https://blog.cloudera.com/blog/2015/12/spark-ts-a-new-library-for-analyzing-time-series-data-with-apache-spark/ - http://ampcamp.berkeley.edu/6/exercises/time-series-tutorial-taxis.html Regards, Vaquar khan On Wed, Aug 30, 2017 at 1:21 PM, Irving Duran <irving.du...@gmail.com> wrote: > I think it will work. Might want to explore spark streams. > > > Thank You, > > Irving Duran > > On Wed, Aug 30, 2017 at 10:50 AM, <kanth...@gmail.com> wrote: > >> I don't see why not >> >> Sent from my iPhone >> >> > On Aug 24, 2017, at 1:52 PM, Alexandr Porunov < >> alexandr.poru...@gmail.com> wrote: >> > >> > 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 >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> >> > -- Regards, Vaquar Khan +1 -224-436-0783 Greater Chicago
