Holden Karau, Developer Advocate, Google
Have you ever had a Spark job fail in it’s second to last stage after a “trivial” update or been part of the way through debugging a pipeline to wish you could look at it’s data or had an “exploratory” notebook turn into something less exploratory? Come join me for a surprisingly simple adventure into how to build recoverable pipelines and have more debuggable pipelines. Then join me on the adventure where in we find out our “simple” solution has a bunch of hidden flaws, how to work around them, and end on the reminder of how important it is to test your code.
Ľuboš Koščo, Senior Software Engineer, SizmekMichal Šenkýř, Senior Software Engineer, Sizmek
Glauber Costa, VP Field Engineering, ScyllaDB
Bin Wang, Senior Software Architect, Faraday FutureBrian Hawkins, Senior Engineer, Proofpoint
Alexys Jacob, CTO, Numberly
Eyal Gutkind, Head of Solution Architects, ScyllaDB