Hello All.
I have a newbie question.
We have a use case where huge amount of data will be coming in streams or
micro-batches of streams and we want to process these streams according to
some business logic. We don't have to provide extremely low latency
guarantees but batch M/R will still be
Shahab,
Interesting question. Couple of points (based on the information from
your e-mail)
1. One can support the use case in Spark as a set of transformations on
a WIP TDD over a span of time and the final transformation outputting to a
processed TDD
- Spark streaming would be
