Name
Abstract | ||
|---|---|---|
CEP and Databases have traditionally been viewed as two separate entities, the first one oriented towards real-time event processing and the second one oriented towards long-term management of data. But in fact many real-time data and business intelligence analysis do need to confront streaming data with long-term stored one. For instance, how do today's sales compare with last year's sales for the same day? We demonstrate StreamNetFlux, a new system being commercialized that integrates CEP and databases in a way that is smooth and transparent to the user. Our demonstration will show that the new system is able to process queries that need such capabilities in an integrated fashion and with top efficiency and scalability features. The demonstration will use a Telco case study and will show that not only the system is able to provide integrated processing, as it is also extremely efficient and scalable. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1827418.1827439 | DEBS |
Keywords | Field | DocType |
last year,telco case study,long-term management,real-time data,real-time event processing,integrated processing,integrated fashion,new system,transparent integrated cep-dbs,scalability feature,business intelligence analysis,predictive analytics,complex event processing,real time,real time data,business intelligence | Predictive analytics,Computer science,Complex event processing,Real-time computing,Streaming data,Business intelligence,Distributed computing,Scalability | Conference |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| João Pedro Costa | 1 | 64 | 11.99 |
| Pedro Martins | 2 | 85 | 24.21 |
| José Cecílio | 3 | 77 | 17.81 |
| Pedro Furtado | 4 | 204 | 55.67 |