Thanks . So if we use Beam API with flink engine then we can get inter action between batch and stream ? As i know currently in flink Dataset and DStream can not talk . Is this correct ? Thanks Ashutosh
On Thu, May 26, 2016 at 1:09 PM, Slim Baltagi <sbalt...@gmail.com> wrote: > Hi Ashutosh > > Apache Beam provides a Unified API for batch and streaming. > It also supports multiple ‘runners’: local, Apache Spark, Apache Flink and > Google Cloud Data Flow (commercial service). > It is not an alternative to Flink because it is an API and you still need > an execution engine. > It can be used as an alternative API to using the two Flink APIs : DataSet > API and DataStream API. > It can be complementary to Flink in the way that you use Beam as API and > Flink as the execution engine. > Many of Flink committers are also Apache Beam committers! > The following blogs describe why Apache Beam: > > - from Flink perspective: http://data-artisans.com/why-apache-beam/ > - from Google perspective. > > https://cloud.google.com/blog/big-data/2016/05/why-apache-beam-a-google-perspective > > > A few recent resources about Apache Beam published this month: May 2016 > > - Running Apache Beam (screencast) > https://www.youtube.com/watch?v=dwxUbzbwtyI > - Introduction to Apache Beam ( presentation) > https://skillsmatter.com/skillscasts/8036-apache-flink-may-meetup > - Introduction to Apache Beam ( blog) > http://www.talend.com/blog/2016/05/02/introduction-to-apache-beam > > > I hope this helps. > > Thanks > > Slim Baltagi > > On May 26, 2016, at 2:20 AM, Ashutosh Kumar <kmr.ashutos...@gmail.com> > wrote: > > How does apache beam fits with flink ? Is it an alternative for flink or > complementary to it ? > > Thanks > Ashutosh > > >
