My thought is that Spark supports analytics for structured and unstructured data, batch as well as real time. This was pretty revolutionary when Spark first came out. That's where the unified term came from I think. Even after all these years, Spark remains the trusted framework for enterprise analytics.
On Mon, 19 Oct 2020, 11:24 Gourav Sengupta <gourav.sengu...@gmail.com wrote: > Hi, > > I think that it is just a marketing statement. But with SPARK 3.x, now > that you are seeing that SPARK is no more than just another distributed > data processing engine, they are trying to join data pre-processing into ML > pipelines directly. I may call that unified. > > But you get the same with several other frameworks as well now so not > quite sure how unified creates a unique brand value. > > > Regards, > Gourav Sengupta > > On Sun, Oct 18, 2020 at 6:40 PM Hulio andres <hulioand...@usa.com> wrote: > >> >> Apache Spark's mission statement is *Apache Spark™* is a unified >> analytics engine for large-scale data processing. >> >> To what is the word "unified" inferring ? >> >> >> >> >> >> >> --------------------------------------------------------------------- To >> unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
