dc.contributor.author |
Chandrasekara, S.A.M. |
|
dc.date.accessioned |
2019-01-23T10:45:48Z |
|
dc.date.available |
2019-01-23T10:45:48Z |
|
dc.date.issued |
2018 |
|
dc.identifier.citation |
Chandrasekara , S A M (2018) Xtream Analytica: Supercharge traditional data warehouse to a hybrid modern data warehouse. MSc. Dissertation. Informatics Institute of Technology |
en_US |
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/22 |
|
dc.description.abstract |
Up to now most of the business intelligence system uses a traditional data warehouse which is installed on a on premise database instance. Most of the time this data warehouse is connected to an OLAP server and provide multidimensional analysis.
But this project is demonstrated a solution which is go far beyond this concept and practically proven of using stream analytics, machine learning, NoSQL, data lake as a part of a data warehouse solution by preserving the utilization of on premise database.
Since this prototype proven a data warehouse which can extract data from both cloud and onpremise, this Project is witness as a Hybrid Approach and the name is presented as Hybrid Modern Data Warehouse. |
en_US |
dc.subject |
data warehouse |
en_US |
dc.title |
Xtream Analytica: Supercharge traditional data warehouse to a hybrid modern data warehouse |
en_US |
dc.type |
Thesis |
en_US |