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Xtream Analytica: Supercharge traditional data warehouse to a hybrid modern data warehouse

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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


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