Name
Abstract | ||
|---|---|---|
In todayâs data-driven world, economy and research depend on the analysis of empirical datasets to guide decision making. These applications often encompass a rich variety of data types and special purpose processing models. We believe, the database system of the future will integrate flexible processing and storage of a variety of data types in a scalable and integrated end-to-end solution. In this paper, we propose a database system architecture that is designed from the core to support these goals. In the discussion we will especially focus on the multi-domain programming concept of the proposed architecture that exploits domain specific knowledge to guide compiler based optimization. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.5220/0006009301890194 | DATA |
Keywords | Field | DocType |
Database Architectures, Query Languages, Data Types, Code Generation | Data architecture,Data mining,Architecture,Computer science,Exploit,Database design,Code generation,Compiler,Data type,Database,Scalability | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johannes Luong | 1 | 1 | 1.04 |
| Dirk Habich | 2 | 317 | 62.59 |
| Thomas Kissinger | 3 | 87 | 13.03 |
| Wolfgang Lehner | 4 | 2243 | 294.69 |