Name
Abstract | ||
|---|---|---|
A polystore system is a database management system composed of integrated heterogeneous database engines and multiple programming languages. By matching data to the storage engine best suited to its needs, complex analytics run faster and flexible storage choices helps improve data organization. BigDAWG (Big Data Working Group) is our prototype implementation of a polystore system. In this paper, we describe the current BigDAWG software release which supports PostgreSQL, Accumulo and SciDB. We describe the overall architecture, API and initial results of applying BigDAWG to the MIMIC II medical dataset. |
Year | Venue | DocType |
|---|---|---|
2017 | 2017 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC) | Conference |
ISSN | Citations | PageRank |
2377-6943 | 0 | 0.34 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vijay Gadepally | 1 | 449 | 50.53 |
| Kyle O'Brien | 2 | 1 | 1.05 |
| Adam Dziedzic | 3 | 10 | 3.92 |
| Aaron J. Elmore | 4 | 352 | 34.03 |
| Jeremy Kepner | 5 | 606 | 61.58 |
| Samuel Madden | 6 | 16101 | 1176.38 |
| Tim Mattson | 7 | 23 | 1.60 |
| Jennie Rogers | 8 | 0 | 0.34 |
| Zuohao She | 9 | 7 | 1.51 |
| Michael Stonebraker | 10 | 12463 | 4310.17 |