There is an over-arching need to have test, development, and production infrastructure in place to deploy Spark, possibly Kafka or another stream log system, applications to. This is probably in AWS but that is open to discussion.
This originally emerged in LD4P Kafka Spark Conversion Pipeline Work Cycle 1, but is a larger need across projects wanting to employ data engineering approaches. Work with @eefahy to figure out requirements and how to proceed functionally.
There is an over-arching need to have test, development, and production infrastructure in place to deploy Spark, possibly Kafka or another stream log system, applications to. This is probably in AWS but that is open to discussion.
This originally emerged in LD4P Kafka Spark Conversion Pipeline Work Cycle 1, but is a larger need across projects wanting to employ data engineering approaches. Work with @eefahy to figure out requirements and how to proceed functionally.