Hey! (a) This is not a Flink term. I could not find the term in the slides, but I guess that it is referring to tumbling windows. For more details, check out these pages:
https://flink.apache.org/news/2015/12/04/Introducing-windows.html https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/streaming/windows.html (b) I am not sure what the slides are exactly referring to, but I would guess that it's either referring to - the pluggable state backends which are used to store the state of windows and user functions (https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/streaming/state_backends.html) - the supported sources and sinks, which allow to read and write various data stores (https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/streaming/connectors/index.html) – Ufuk On Fri, Mar 25, 2016 at 6:07 AM, Nirmalya Sengupta <sengupta.nirma...@gmail.com> wrote: > Hello Flinksters, > > I have come across two terms in this presentation: > http://www.slideshare.net/sbaltagi/flink-vs-spark > > (a) Hopping Windows > Could someone please exemplify or point to a link which explains, what is > this? > > (b) Native support for integrated datastore > Is this referring to the various 'Sink's that Flink comes ready with it? If > not, what is this referring to? > > TIA > > -- Nirmalya > > -- > Software Technologist > http://www.linkedin.com/in/nirmalyasengupta > "If you have built castles in the air, your work need not be lost. That is > where they should be. > Now put the foundation under them."
