Hi all, Just sharing news of the release of a newly available Spark package, SAMBA <https://github.com/onetapbeyond/lambda-spark-executor>. <http://spark-packages.org/package/onetapbeyond/opencpu-spark-executor>
https://github.com/onetapbeyond/lambda-spark-executor SAMBA is an Apache Spark package offering seamless integration with the AWS Lambda <https://aws.amazon.com/lambda/> compute service for Spark batch and streaming applications on the JVM. Within traditional Spark deployments RDD tasks are executed using fixed compute resources on worker nodes within the Spark cluster. With SAMBA, application developers can delegate selected RDD tasks to execute using on-demand AWS Lambda compute infrastructure in the cloud. Not unlike the recently released ROSE <https://github.com/onetapbeyond/opencpu-spark-executor> package that extends the capabilities of traditional Spark applications with support for CRAN R analytics, SAMBA provides another (hopefully) useful extension for Spark application developers on the JVM. SAMBA Spark Package: https://github.com/onetapbeyond/lambda-spark-executor <https://github.com/onetapbeyond/lambda-spark-executor> ROSE Spark Package: https://github.com/onetapbeyond/opencpu-spark-executor <https://github.com/onetapbeyond/opencpu-spark-executor> Questions, suggestions, feedback welcome. David -- "*All that is gold does not glitter,** Not all those who wander are lost."*
