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dc.contributor.authorSalaki, R J-
dc.contributor.authorWaworuntu, J-
dc.contributor.authorTangkawarow, I R H T-
dc.description.abstractAbstract. The design of the data warehouse in this case is expected to solve the problem of evaluation of learning results as well as the relevance of the information received to support decision-making by the leader. Data warehouse design is very important, which is designed to utilize the existing resources of information. GPA (Grade Point Average) data warehouse can be used for the process of evaluation, decision making and even further planning of the study program of PTIK. The diversity of data sources in the course PTIK make decisionmaking and evaluation process becomes not easier. Pentaho Data Integration is used to integrate data in PTIK easy. CPI data warehouse design with multidimensional database modeling approach using the dimension tables and fact tables.en_US
dc.publisherIOP Conf. Series: Materials Science and Engineeringen_US
dc.titleExtract transformation loading from OLTP to OLAP data using pentaho data integrationen_US
Appears in Collections:Lecturer Scientific Publications

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PR Prosiding IOP 2 JIMMY WAWORUNTU.pdf2.72 MBAdobe PDFView/Open
SImilarity Extract Transformation Loading.pdf1.72 MBAdobe PDFView/Open

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