Go from (almost) zero to hero with a proven approach to development with Scala and Spark. We'll get you up and running with IntelliJ, Scala, Spark, and sbt using a highly adaptable base project that has been improved and tweaked over the years. You'll be able to develop and test Spark jobs, in Scala (interfacing with Hive, Hbase, Kafka, and more) .
We'll provide high-level overviews of all products and then give you specific, hands-on instruction in completing a series of exercises that create and test sophisticated Spark jobs on your laptop.
Attendees leave with:
By day, Austin leads a team of scientists and engineers in the pursuit of data insights. By night, he teaches two graduate classes, in Big Data Analytics, at the University of Texas at Dallas - working to develop students into successful data analysts. Both classes heavily feature Scala and Spark.
Johan Muedsam is a Principal Big Data Software Engineer at AT&T. He’s been working in the Telecommunications and IT Industries since 1993 developing distributed and real-time systems as a Software Engineer and Architect.
Principal Systems Engineer, AT&T Chief Data Office
Ronen is a Principal System Engineer at AT&T’s Chief Data Office. Practicing software development and enterprise architecture since the late 90’s, he is now designing and implementing ML and AI at scale using Scala, Spark, Hadoop, and Kafka.