System and method for efficient numerical data model, memory management, streaming aggregation and contextual event checks in large semi-structured datasets
Abstract:
A system for efficiently parsing semi-structured deep packet inspection traffic data tied to a telecommunications entity. The system is capable of parsing such records at million-records-per-second scale through use of a numerical data model, leverage on proven fundamental algebraic techniques, and shortcuts to label streaming traffic on the fly. In some embodiments, the system may perform parallel accumulation of data traffic into business grade counters using elementary techniques and subsequently identify subscribers exhibiting specific data patterns in real time for contextual targeting of promotional offers. A method of efficiently parsing the traffic data via the system of the disclosure.
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