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
Featured Post
How to build Unified Experience Platform (CDP & DXP)
USPA framework What is USPA framework ? The USPA framework is conceptual framework, to develop Unified Experience Platform (the unified of ...

-
1. Programming Languages Python Tutorial - Python for Beginners https://www.youtube.com/watch?v=_uQrJ0TkZlc Java Tutorial for Beginners ht...
-
A Customer Data Platform (CDP) is a system that collects and stores all your customer data, for analysis and use by marketers....