dc.contributor.author |
Ranaweera, Arachchilage Thakshila Namali |
|
dc.date.accessioned |
2022-02-23T16:20:28Z |
|
dc.date.available |
2022-02-23T16:20:28Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Ranaweera, Arachchilage Thakshila Namali (2021) NoSQL technology to manage third party static data in content management of travel reservation system. MSc. Dissertation Informatics Institute of Technology |
en_US |
dc.identifier.other |
2017034 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/701 |
|
dc.description.abstract |
"The reservation system in travel industry are web base online systems. The system gives the
available inventory details without delaying on landing page according to on search criteria
by user. Even this is online transaction processing need to provide full details of the
inventory, and these information are static. One reason of slowness to display details on
landing page is the way the data store. Currently the data store in RDBMS.
This research is to find suitable NoSQL database to store travel reservation inventory static
data, these data get from multiple suppliers and need to find same inventory across all
suppliers when it upload to system. And supplier wise data comes in heterogeneously. Map
and upload heterogeneous data to NoSQL database for speedy data retrieval" |
en_US |
dc.subject |
Natural language processing |
en_US |
dc.subject |
Encoder-decoder |
en_US |
dc.subject |
Deep Neural Networks |
en_US |
dc.subject |
Semantic similarity |
en_US |
dc.subject |
travel reservations |
en_US |
dc.title |
NoSQL technology to manage third party static data in content management of travel reservation system |
en_US |
dc.type |
Thesis |
en_US |