| 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 |