Name
Abstract | ||
|---|---|---|
Massive collection of data at high rates is critical for many industries. Typically, a massive stream of records is gathered from the business information network at a very high rate. Because of the complexity of the collection process, the classical database solution falls short. The high volume and rate of records involved requires a heterogeneous pipeline comprised of two major parts: a system that carries out massive collection and then uploads the information to a database, and a subsequent data analysis and management system consisting of an Extract Transform and Load component. We developed a massive collection and loading system, based on a highly scalable heterogeneous architecture solution. The solution has been applied successfully for Telco revenue assurance, and can be applied to other industrial areas. The solution was successful in scaling up a Telco client system to handle streams of records ten times larger than was previously possible. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-3-540-73950-0_5 | BIRTE |
Keywords | Field | DocType |
high rate,database loading,scalable heterogeneous architecture solution,telco revenue assurance,management system,collection process,massive collection,massive data collection,massive stream,classical database solution,high volume,telco client system,scalable heterogeneous solution,data collection,data analysis | Java messaging service,Data mining,Data collection,Business information,Computer science,Upload,Revenue assurance,Management system,Database,Scalability | Conference |
Volume | ISSN | Citations |
4365 | 0302-9743 | 1 |
PageRank | References | Authors |
0.41 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Uri Shani | 1 | 24 | 6.94 |
| Aviad Sela | 2 | 37 | 5.65 |
| Alex Akilov | 3 | 1 | 0.41 |
| Inna Skarbovski | 4 | 1 | 0.41 |
| David Berk | 5 | 1 | 0.41 |