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Teradata DBMS-oriented SQL Scripts Optimizing Preprocessor

Student: Anastasiia Sudina

Supervisor: Alexander Breyman

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Final Grade: 8

Year of Graduation: 2016

This graduation project’s purpose is to develop a Teradata DBMS-oriented SQL scripts optimizing preprocessor. As Data Warehouses get more complex and comprehensive, the lack of storage space and CPU resources becomes a major problem. This work’s main objective is to identify how to optimize ETL processes for Teradata DBMS and develop a software tool that could fix or notify a developer about typical SQL scripts’ problems like poor primary index choice, repetitive code and unnecessary joins or selection of table columns that are not used in the creation of final tables. The paper contains 35 pages, 3 chapters, 6 illustrations, 5 tables, 10 bibliography items, 5 appendices. Keywords: Teradata DBMS, SQL-scripts optimization, ETL

Full text (added May 30, 2016)

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