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Today's relational database management systems are made up of many complex components and managing these presents a growing challenge for database administrators. Every runtime environment can require different configurations to deliver adequate performance. Even within the same environment, demands can shift over time when workloads change. Keeping up with these demands requires continuous effort from the DBA. The goal of a modern DBMS must be to support the DBA in his work with automated processes and workflows that allow him to make quick and precise decisions. This work aims at describing…mehr

Produktbeschreibung
Today's relational database management systems are made up of many complex components and managing these presents a growing challenge for database administrators. Every runtime environment can require different configurations to deliver adequate performance. Even within the same environment, demands can shift over time when workloads change. Keeping up with these demands requires continuous effort from the DBA. The goal of a modern DBMS must be to support the DBA in his work with automated processes and workflows that allow him to make quick and precise decisions. This work aims at describing and partially implementing a supportive system that will analyse the current DBMS configuration together with its workload to give recommendations on how to improve its performance and efficiency.
Autorenporträt
Alexander Thiem has been working for Ingres Germany since mid of his studies in Computer Science at the Technical University of Ilmenau. He was specialising in the topic of database management systems and the topic of query optimisation as well as the full and semi automatic tuning of database systems.