print

Business intelligence and analytics: On-demand ETL over document stores

author
Souibgui, Manel
Atigui, Faten
Ben Yahia, Sadok
Si-Said Cherfi, Samira
statement of authorship
Manel Souibgui, Faten Atigui, Sadok Ben Yahia, Samira Si-Said Cherfi
source
Research Challenges in Information Science : 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23-25, 2020 : Proceedings
location of publication
Cham
publisher
Springer Nature
year of publication
2020
pages
p. 556-561
series
Lecture Notes in Business Information Processing ; 385
conference name, date
14th International Conference, RCIS 2020, September 23-25, 2020
conference location
Limassol, Cyprus
url
https://doi.org/10.1007/978-3-030-50316-1_38
subject term
ärianalüüs
majandusinformaatika
säilitamine
dokumendid
Scopus
Conference proceedings at Scopus
Article at Scopus
WOS
Article at WOS
kvartiil
Q3
category (general)
Business, management and accounting
Decision sciences
Engineering
Mathematics
Computer science
category (sub)
Business, management and accounting. Business and international management
Decision sciences. Information systems and management
Business, management and accounting. Management information systems
Engineering. Control and systems engineering
Mathematics. Modeling and simulation
Computer science. Information systems
keyword
business intelligence and analytics
etl
OLAP
document stores
ISBN
978-3-030-50315-4
notes
Bibliogr.: 11 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Data science group
Souibgui, M., Atigui, F., Ben Yahia, S., Si-Said Cherfi, S. Business intelligence and analytics: On-demand ETL over document stores // Research Challenges in Information Science : 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23-25, 2020 : Proceedings. Cham : Springer Nature, 2020. p. 556-561. (Lecture Notes in Business Information Processing ; 385). https://doi.org/10.1007/978-3-030-50316-1_38