Ian Marsh: Big Data Processing with Applications in Telecommunications
Sprache des Titels:
Englisch
Original Kurzfassung:
In this talk we will give an overview of the processing techniques for large amounts of telecommunications data. Big data is ?defined? by IBM as Volume, Variety, Veracity and Velocity of the data flow. In this talk we will give an introduction to the subject of processing data which conform to one or more of the V?s mentioned. A gentle introduction to computing platforms and common data processing languages will be given. Applications of big data processing including anomaly detection and clustering wanted artifacts will exemplify processing steps. An example of data clustering according to a ?good? or ?bad? network connections will be shown. One example from a real 3G dataset are included with an application of caching network to reduce network latency will be eluded. Open issues within big data processing such as privacy preservation for data releases, and legal issues with capture and retention of big telecom data will conclude the talk.
Sprache der Kurzfassung:
Englisch
Englischer Titel:
Ian Marsh: Big Data Processing with Applications in Telecommunications
Englische Kurzfassung:
In this talk we will give an overview of the processing techniques for large amounts of telecommunications data. Big data is ?defined? by IBM as Volume, Variety, Veracity and Velocity of the data flow. In this talk we will give an introduction to the subject of processing data which conform to one or more of the V?s mentioned. A gentle introduction to computing platforms and common data processing languages will be given. Applications of big data processing including anomaly detection and clustering wanted artifacts will exemplify processing steps. An example of data clustering according to a ?good? or ?bad? network connections will be shown. One example from a real 3G dataset are included with an application of caching network to reduce network latency will be eluded. Open issues within big data processing such as privacy preservation for data releases, and legal issues with capture and retention of big telecom data will conclude the talk.
Forschungs-