Parametric schema inference for massive JSON datasets
In recent years, JSON established itself as a very popular data format for representing
massive data collections. JSON data collections are usually schemaless. While this ensures …
massive data collections. JSON data collections are usually schemaless. While this ensures …
Schema inference for massive JSON datasets
Recent years have seen the widespread use of JSON as a data format to represent massive
data collections. JSON data collections are usually schemaless. While this ensures several …
data collections. JSON data collections are usually schemaless. While this ensures several …
Approximate OLAP of document-oriented databases: A variety-aware approach
Schemaless databases, and document-oriented databases in particular, are preferred to
relational ones for storing heterogeneous data with variable schemas and structural forms …
relational ones for storing heterogeneous data with variable schemas and structural forms …
Counting types for massive JSON datasets
Type systems express structural information about data, are human readable and hence
crucial for understanding code, and are endowed with a formal definition that makes them a …
crucial for understanding code, and are endowed with a formal definition that makes them a …
Human-in-the-loop schema inference for massive JSON datasets
JSON established itself as a popular data format for representing data whose structure is
irregular or unknown a priori. JSON collections are usually massive and schema-less …
irregular or unknown a priori. JSON collections are usually massive and schema-less …
[PDF][PDF] Variety-Aware OLAP of Document-Oriented Databases.
Schemaless databases, and document-oriented databases in particular, are preferred to
relational ones for storing heterogeneous data with variable schemas and structural forms …
relational ones for storing heterogeneous data with variable schemas and structural forms …
A type system for interactive JSON schema inference
In this paper we present the first JSON type system that provides the possibility of inferring a
schema by adopting different levels of precision/succinctness for different parts of the …
schema by adopting different levels of precision/succinctness for different parts of the …
Statistical Validation of Column Matching in the Database Schema Evolution of the Brazilian Public School Census
MG Yamanaka, DH de Almeida, PR de Almeida… - arXiv preprint arXiv …, 2024 - arxiv.org
Publicly available datasets are subject to new versions, with each new version potentially
reflecting changes to the data. These changes may involve adding or removing attributes …
reflecting changes to the data. These changes may involve adding or removing attributes …
Towards the evolution of graph oriented databases
S Boukettaya, A Nabli, F Gargouri - … and Applications (ISDA 2018) held in …, 2020 - Springer
As one of NoSQL data models, graph oriented databases are highly recommended to store
and manage interconnected data. Used as back-end for today applications, NoSQL …
and manage interconnected data. Used as back-end for today applications, NoSQL …
Graph matching in graph-oriented databases
S Boukettaya, A Nabli, F Gargouri - International Conference on Intelligent …, 2020 - Springer
Modern graph database management systems use graph structures for semantic queries
with nodes, edges, and properties to connect to and store information. Due to their schema …
with nodes, edges, and properties to connect to and store information. Due to their schema …