Well done David, a really nice and succinct series on streaming data with Flink. Next stop request: PyFlink with the Datasteam API ;) - keep up the good work!
if you could add patter matching and debugging as well as some kind of diagnostic overview of how the sql is turned into machines, how i can setup certain characteristics (like libraries, base images etc..) that would be much more beneficial for us architects
Well done David, a really nice and succinct series on streaming data with Flink. Next stop request: PyFlink with the Datasteam API ;) - keep up the good work!
if you could add patter matching and debugging as well as some kind of diagnostic overview of how the sql is turned into machines, how i can setup certain characteristics (like libraries, base images etc..) that would be much more beneficial for us architects
enjoyed the videos. succint and enough to understand whats can be done. great work. appreciated
Thank you David! Great work.
Awesome! Cheers!