The programs and schedules for Scala By the Bay (SBTB) and Big Data Scala
By the Bay (BDS) 2015 conferences are announced and published:
Scala By the Bay http://scala.bythebay.io — August 13-16 (
scala.bythebay.io)
Big Data Scala By the Bay http://bigdatascala.bythebay.io — August 16-18 (
workshop is the first professional training
structured specifically around the best practices for developers who
work in Scala and use agile practices, leading to continuous
deployment.
http://bythebay.ticketleap.com/scala-devops/
It is taught by Alexy Khrabrov and James Earl Douglas, the first two
Folks -- we're happy to share the videos of Spark talks made at SF
Scala meetup (sfscala.org) and Scala By the Bay conference
(scalabythebay.org). We thank Databricks for presenting and also
sponsoring the first talk video, which was a joint event with SF Bay
Area Machine Learning meetup.
On September 25-26, SF Scala teams up with Adam Gibson, the creator of
deeplearning4j.org, to teach the first ever Distributed Deep Learning
with Scala Akka, and Spark workshop. Deep Learning is enabling
break-through advances in the areas such as image recognition and
natural language
Scala By the Bay (www.scalabythebay.org) is happy to confirm that our
Spark training on August 11-12 will be run by Databricks and By the
Bay together. It will be focused on Scala, and is the first Spark
Training at a major Scala venue. Spark is written in Scala, with the
unified data pipeline
Mason in August!
Alexy Khrabrov, Jason Swartz, and the Organizing Committee of Scala By the Bay
The usual way to use Spark with SBT is to package a Spark project using sbt
package (e.g. per Quick Start) and submit it to Spark using the bin/ scripts
from Sark distribution. For plain Scala project, you don’t need to download
anything, you can just get a build.sbt file with dependencies and
