Modeling and management big data in databases—A systematic literature review
The work presented in this paper is motivated by the acknowledgement that a complete and
updated systematic literature review (SLR) that consolidates all the research efforts for Big …
updated systematic literature review (SLR) that consolidates all the research efforts for Big …
Data modeling in the NoSQL world
NoSQL systems have gained their popularity for many reasons, including the flexibility they
provide in organizing data, as they relax the rigidity provided by the relational model and by …
provide in organizing data, as they relax the rigidity provided by the relational model and by …
Self-tuning Database Systems: A Systematic Literature Review of Automatic Database Schema Design and Tuning
Self-tuning is a feature of autonomic databases that includes the problem of automatic
schema design. It aims at providing an optimized schema that increases the overall …
schema design. It aims at providing an optimized schema that increases the overall …
Data variety, come as you are in multi-model data warehouses
Abstract Multi-model DBMSs (MMDBMSs) have been recently introduced to store and
seamlessly query heterogeneous data (structured, semi-structured, graph-based, etc.) in …
seamlessly query heterogeneous data (structured, semi-structured, graph-based, etc.) in …
Performance of nosql graph implementations of star vs. snowflake schemas
Nowadays, the data used for decision-making come from a wide variety of sources which
are difficult to manage using relational databases. To address this problem, many …
are difficult to manage using relational databases. To address this problem, many …
Document-oriented data warehouses: Models and extended cuboids, extended cuboids in oriented document
M Chavalier, M El Malki, A Kopliku… - 2016 IEEE Tenth …, 2016 - ieeexplore.ieee.org
Within the Big Data trend, there is an increasing interest in Not-only-SQL systems (NoSQL).
These systems are promising candidates for implementing data warehouses particularly due …
These systems are promising candidates for implementing data warehouses particularly due …
Modelling and implementing big data warehouses for decision support
In the era of Big Data, many NoSQL databases emerged for the storage and later processing
of vast volumes of data, using data structures that can follow columnar, key-value, document …
of vast volumes of data, using data structures that can follow columnar, key-value, document …
Model driven reverse engineering of NoSQL property graph databases: The case of Neo4j
I Comyn-Wattiau, J Akoka - … Conference on Big Data (Big Data), 2017 - ieeexplore.ieee.org
Most NoSQL databases are schemaless. Although they offer some flexibility, they do not
have any knowledge of the database schema, losing the benefits provided by these …
have any knowledge of the database schema, losing the benefits provided by these …
[HTML][HTML] Evaluating the open source data containers for handling big geospatial raster data
Big geospatial raster data pose a grand challenge to data management technologies for
effective big data query and processing. To address these challenges, various big data …
effective big data query and processing. To address these challenges, various big data …
Data warehousing in big data: from multidimensional to tabular data models
Data warehouses are central pieces in business intelligence and analytics as these
repositories ensure proper data storage and querying, being supported by data models that …
repositories ensure proper data storage and querying, being supported by data models that …