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NOSQL design for analytical workloads: Variability matters

Author
Herrero, V.; Abello, A.; Romero, O.
Type of activity
Presentation of work at congresses
Name of edition
35th International Conference on Conceptual Modeling
Date of publication
2016
Presentation's date
2016-11
Book of congress proceedings
Conceptual Modeling: 35th International Conference, ER 2016: Gifu, Japan, November 14-17, 2016: proceedings
First page
50
Last page
64
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-319-46397-1_4 Open in new window
Repository
http://hdl.handle.net/2117/100548 Open in new window
URL
http://link.springer.com/chapter/10.1007/978-3-319-46397-1_4 Open in new window
Abstract
Big Data has recently gained popularity and has strongly questioned relational databases as universal storage systems, especially in the presence of analytical workloads. As result, co-relational alternatives, commonly known as NOSQL (Not Only SQL) databases, are extensively used for Big Data. As the primary focus of NOSQL is on performance, NOSQL databases are directly designed at the physical level, and consequently the resulting schema is tailored to the dataset and access patterns of the pro...
Citation
Herrero, V., Abelló, A., Romero, O. NOSQL design for analytical workloads: Variability matters. A: International Conference on Conceptual Modeling. "Conceptual Modeling: 35th International Conference, ER 2016: Gifu, Japan, November 14-17, 2016: proceedings". Gifu: Springer, 2016, p. 50-64.
Keywords
Analytical workload, Big Data, Classical three-phase design, Co-relational design, Conceptual model, NOSQL database, Relational databases, SQL, Structured query language
Group of research
DTIM - Database Technologies and lnformation Management Group
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants

Attachments