Original title: Využití systému SAS při tvorbě datových skladů a optimalizaci ETL procesů
Translated title: Using the SAS System for Building Data Warehouses and Optimalization of ETL Processes
Authors: Pešička, Michal ; Novotný, Ota (advisor)
Document type: Master’s theses
Year: 2008
Language: cze
Publisher: Vysoká škola ekonomická v Praze
Abstract: [cze] [eng]
Práce se zabývá využitím systému SAS a jeho komponent pro vytvoření a provoz datového skladu a celého řešení Business Intelligence (BI). V úvodu seznamuje uživatele s významem a užitkem nasazení BI a jeho postavením v oblasti IS v organizaci. Zaměřuje se na ETL procesy datového skladu, jejich specifika, charakteristiky, sledování jejich výkonu a možnosti optimalizace - z pohledu vytváření a údržby kódu vlastní datové pumpy a z pohledu optimalizace zpracování vstupních dat. V závěrečné části nabízí srovnání někerých alternativ k vybraným úlohám ETL, které je možné v systému SAS řešit, a tyto doporučuje pro řešení konkrétních transformačních problémů. This diploma thesis deals with usability of the SAS system and its components for building and running data warehouse and complete solution of Business Intelligence. In the beginning it introduces the meaning and benefits of putting on Business Intelligence and its spot in an organization. It especially focuses on the running BI project in Kooperativa, a.s., insurance company. The main goal of this thesis is to aim on ETL processes of data warehouse, their specificity, characteristics and regular tasks solved across data layers, measuring their performance and feasibility of ETL optimalization. This optimalization can be considered from two different points of view – the first is a creation and maintenance of the ETL source code, the second is tuning for faster data processing. Log files, which are are the main source for performance monitoring, are processed by macroprogram specially tailored to this particular reason. Gained results are analyzed and on that basis I outline spots that need attention. The last part offers comparison of some alternatives to data transformation process typically solved by ETL tasks. Acquired results could be taken as hints used in designing and tweaking other akin ETL processes.
Keywords: Business Intelligence, data warehouse, SAS, Kooperativa, ETL, OLAP, SQL, information system, optimalization; Business Intelligence; datový sklad; ETL; Kooperativa; optimalizace; SAS; SQL

Institution: University of Economics, Prague (web)
Document availability information: Available in the digital repository of the University of Economics, Prague.
Original record: http://www.vse.cz/vskp/eid/7575

Permalink: http://www.nusl.cz/ntk/nusl-165163


The record appears in these collections:
Universities and colleges > Public universities > University of Economics, Prague
Academic theses (ETDs) > Master’s theses