Abstract
As data volumes continue to rise, manual inspection is becoming increasingly untenable. In response, we present MacroBase, a data analytics engine that prioritizes end-user attention in high-volume fast data streams. MacroBase enables eficient, accurate, and modular analyses that highlight and aggregate important and unusual behavior, acting as a search engine for fast data. MacroBase is able to deliver order-of-magnitude speedups over alternatives by optimizing the combination of explanation (i.e., feature selection) and classification tasks and by leveraging a new reservoir sampler and heavy-hitters sketch specialized for fast data streams. As a result, MacroBase delivers accurate results at speeds of up to 2M events per second per query on a single core. The system has delivered meaningful results in production, including at a telematics company monitoring hundreds of thousands of vehicles.
| Original language | English (US) |
|---|---|
| Article number | 15 |
| Journal | ACM Transactions on Database Systems |
| Volume | 43 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 2018 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Information Systems
Keywords
- Analytics
- Database
- Streaming