National Repository of Grey Literature 5 records found  Search took 0.01 seconds. 
Data Warehouses and OLAP in MS SQL Server Environment
Madron, Lukáš ; Stryka, Lukáš (referee) ; Bartík, Vladimír (advisor)
This paper deals with data warehouses and OLAP. These technologies are defined and described here. Then an introduction of the architecture of product MS SQL Server and its tools for work with data warehouses and OLAP folow. The knowledge gained is used for creation of sample application.
Data Warehouse with a Focus on the ETL Process Optimization
Veselý, Ivan ; Bartík, Vladimír (referee) ; Šebek, Michal (advisor)
This thesis focus on creating data warehouse and process of its implementation. The content is: Introduction into data warhousing, implemetation of data warehouse and process of its population.
Design and Implementation of an OLAP Data Cube
Hurdálek, Pavel ; Smejkal, Milan (referee) ; Hruška, Tomáš (advisor)
This diploma thesis deals with the creation of a data OLAP cube for the purpose of analyzing big data. The process is shown when creating a cube containing data from the university's admissions process (specifically Brno University of Technology). The data is processed by the commercial tool Business Warehouse from the German company SAP, the cube visualization itself takes place in the program Excel using the Analysis extension. The result of this work is an OLAP cube, which can be used to create analyses of the university's admission procedure and obtain data to fill in the relevant section of the annual activity report.
Data Warehouse with a Focus on the ETL Process Optimization
Veselý, Ivan ; Bartík, Vladimír (referee) ; Šebek, Michal (advisor)
This thesis focus on creating data warehouse and process of its implementation. The content is: Introduction into data warhousing, implemetation of data warehouse and process of its population.
Data Warehouses and OLAP in MS SQL Server Environment
Madron, Lukáš ; Stryka, Lukáš (referee) ; Bartík, Vladimír (advisor)
This paper deals with data warehouses and OLAP. These technologies are defined and described here. Then an introduction of the architecture of product MS SQL Server and its tools for work with data warehouses and OLAP folow. The knowledge gained is used for creation of sample application.

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