Big data analytics on high Velocity streams: A case study

Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013

Volumn , Issue , 2013, Pages 784-787

  Chardonnens, Thibaud ^a   Cudre Mauroux, Philippe ^a   Grund, Martin ^a   Perroud, Benoit ^b  

^a UNIVERSITY OF FRIBOURG   (Switzerland)

^b VeriSign Inc   (United States)

Author keywords

case study; deployment; storm; stream analytics; trend detection

Indexed keywords

ADVANCED ANALYTICS; BIG DATA; DATA ANALYTICS; INFORMATION MANAGEMENT; STORMS; VELOCITY;

DEPLOYMENT; HIGH VELOCITY; LARGE VOLUMES; ORIENTED SYSTEMS; REAL TIME INTEGRATION; STREAM ANALYTICS; STREAM PROCESSING ENGINES; TREND DETECTION;

DATA STREAMS;

EID: 84893215387     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2013.6691653     Document Type: Conference Paper

References (10)

1. http://storm-project.net/
2. https://bitly.com/
3. http://twitter.com/
4. http://www.streambase.com/
5. http://www.truviso.com/
6. though both Streambase and Truviso support limited forms of UDFs(User Defined Functions) for extensibility.
7. http://www-01.ibm.com/software/data/infosphere/
8. http://incubator.apache.org/s4/
9. https://github.com/robey/kestrel
10. http://kafka.apache.org/