Stream processing has become an integral part of many web analytics applications of today that have big data and real-time requirements with multiple sources of input. The application context could utilize such sources as web click-streams, financial information, manufacturing information, social media, logs and metering data. Many applications depend on real-time decision making to provide updated recommendations and analytics in order to respond to changes in data. There are various open source and cloud based options now becoming available that are of use in multiple informational contexts in a pipeline solution where multiple data sources provide for streaming data analysis.
Samza
Storm
S4
MillWheel
MUPD8
Spark
Tez
Dempsy
Esper
Streams
SAMOA
Kinesis
in stream big data processing
big data right now five trendy open source technologies
