The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Oracle 19c's Multitenant Container Architecture and Big Data
|
|
Author(s): Sikha Bagui (University of West Florida, USA)and Mark Rauch (University of West Florida, USA)
Copyright: 2023
Pages: 27
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch031
Purchase
|
Abstract
This article presents a review of several improvements made in Oracle 19c's multitenant container architecture and how these improvements aid in the management of big data from the perspective of application development. With the introduction of this new multitenant container architecture, Oracle's ability to handle big data is drastically improved. The added functionality that comes with the integration of big data platforms, alongside the flexibility and improvement that comes with container databases and pluggable databases, that are the main tenants of Oracle 19c's multitenant architecture, has not only allowed Oracle to stay relevant, but has moved it to the forefront of its competitors.
Related Content
|
Princy Pappachan, Sreerakuvandana, Mosiur Rahaman.
© 2024.
26 pages.
|
|
Winfred Yaokumah, Charity Y. M. Baidoo, Ebenezer Owusu.
© 2024.
23 pages.
|
|
Mario Casillo, Francesco Colace, Brij B. Gupta, Francesco Marongiu, Domenico Santaniello.
© 2024.
25 pages.
|
|
Suchismita Satapathy.
© 2024.
19 pages.
|
|
Xinyi Gao, Minh Nguyen, Wei Qi Yan.
© 2024.
13 pages.
|
|
Mario Casillo, Francesco Colace, Brij B. Gupta, Angelo Lorusso, Domenico Santaniello, Carmine Valentino.
© 2024.
30 pages.
|
|
Pratyay Das, Amit Kumar Shankar, Ahona Ghosh, Sriparna Saha.
© 2024.
32 pages.
|
|
|