Paper Info
Title
QBMetrics - A Tool for Evaluating and Comparing Document Schemas.
Abstract
Document stores are frequently used as representation format in many applications. It is often necessary to transform a set of data stored in a relational database (RDB) into a document store. However, it is difficult to evaluate which target document structure is the most appropriate for each scenario. In this article, we present a tool, called QBMetrics (Query-based Metrics), that assists on an RDB to NoSQL document conversion process or even to design a NoSQL database, by calculating a set of query-based metrics for evaluating and comparing the created schemas against a set of existing queries. We represent the schemas and the queries as DAGs (Directed Acyclic Graphs), which are used to calculate the metrics. The metrics allow to evaluate if a given target document schema is adequate to answer the queries. We demonstrate the tool in an RDB to NoSQL conversion scenario, involving the creation of the schemas, queries and the metrics calculation.
Year
DOI
Venue
2020
10.1007/978-3-030-58135-0_7
CAiSE Forum
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Evandro Miguel Kuszera100.34
Leticia Mara Peres214.41
Marcos Didonet Del Fabro327334.14