Query-able Kafka: An agile data analytics pipeline for mobile wireless networks
Summary: Queryable Kafka performs native filtering and light transformations at the broker for gigabyte-scale, medium-velocity telecom data. This upstream approach outperforms common Kafka–Spark pipelines with negligible Kafka overhead; code available on GitHub. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Eric Falk
- 2. Vijay K. Gurbani
- 3. Radu State
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 214 | Storm @Twitter | 2014 | SIGMOD | 0.00024818518 |
| 227 | Gigascope: A Stream Database for Network Applications | 2003 | SIGMOD | 0.00024184577 |
| 1,213 | Druid: A Real-time Analytical Data Store | 2014 | SIGMOD | 0.00011726206 |
| 1,309 | Apache Hadoop Goes Realtime at Facebook | 2011 | SIGMOD | 0.00011298774 |
| 2,314 | Muppet: MapReduce-Style Processing of Fast Data | 2012 | VLDB | 8.8451843e-05 |
| 4,143 | Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics | 2015 | VLDB | 6.9380007e-05 |
| 5,023 | DataBlitz: A High Performance Main-Memory Storage Manager | 1998 | VLDB | 6.4647317e-05 |
| 5,675 | Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture | 2013 | SIGMOD | 6.1906869e-05 |
| 8,953 | Gobblin: Unifying Data Ingestion for Hadoop | 2015 | VLDB | 5.4076395e-05 |
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