High Performance Data Mart using Event Plots
Reporting data for finite state machine transactions like calls require exhaustive data mining into 10s and 100s of parameters for 1000s of calls per hour. These postmortems require heavy processing and can demand millions of maps per reduction. The presentation is a case study and demonstration of near-realtime asynchronous event processing based plotting of events and states of FSMs. Thus creating semi-cooked event plots delivering lightening fast reports with extensive customizability.
Outline/structure of the Session
The session would start with the problem definition of the case study, followed by the solution design and a demonstration of the technique at the end the session.
- Presentation (10 min ~ 15 min)
- Domain overview - Cloud-based Call Center Solution
- Problem Definition - Reports using traditional Datamart approach - short falls - challenges
- Overview of Data Plots - Erlang Messaging - Event Maps - Mnesia/ETS (memory & disc) - Mnesia/eleveldb(disc only)
- Reporting - Scanning Events - Data Aggregation - publish - stream - MapReduce
- Demonstration (10 min ~ 15 min)
- Pre-populated call center event plots (mnesia, 200 GB offline / 1TB online)
- Access the web based report dashboard and demonstrate performance of existing reports
- Modify any existing report to demonstrate customization
- Simulate a bunch of call events and demonstrate the report streaming
- Questions & Discussions (5 min ~ offline)
The participant would be able to appreciate the technique, the functional design aspect and the Erlang/OTP efficiency.
The participant can also get the exposure to the data mart and reporting solutions.
Functional Programmers, Architects and Data Mart Engineers
The participants should be aware of async messaging, map-reduce algorithm and basics of functional programming.
schedule Submitted 6 months ago
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