Name
Abstract | ||
|---|---|---|
Data quality management in document oriented data stores has not been deeply explored yet, presenting many challenges that arise because of the lack of a rigid schema associated to data. Data quality is a critical aspect in this kind of data stores, since its control is not possible and it is not a priority in the data storage stage. Additionally, data quality evaluation and improvement are also very difficult tasks due to the schema-less characteristic of data. This paper presents a first step towards data quality management in document oriented data stores. In order to address the problem, the paper proposes a strategy for defining data granularities for data quality evaluation and analyses some data quality dimensions relevant to document stores. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-01391-2_35 | ADVANCES IN CONCEPTUAL MODELING, ER 2018 |
Keywords | Field | DocType |
Document store,Data Quality,Schema-less,Data quality dimensions,Data granularities | Data quality,Computer science,Computer data storage,Schema (psychology),Database | Conference |
Volume | ISSN | Citations |
11158 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emilio Cristalli | 1 | 0 | 0.34 |
| Flavia Serra | 2 | 0 | 1.01 |
| Adriana Marotta | 3 | 34 | 7.47 |