Wednesday, January 14, 2015

Where Apache Spark meets RFX-stream

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Using & install Apache Spark http://www.mc2ads.com/2014/02/install-apache-spark-and-fast-log.html

Advanced use cases

RFX-stream is new kind of real-time data processing engine, based on Akka actor with Pipeline
http://www.mc2ads.com/p/rfx-for-big-data-developer.html



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