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Performance-tuning
Even
modern database and reporting systems still offer sufficient room for
improvement. Generally, performance optimization is a recursive process, we
optimized the system, observe the effects and optimize again. To ensure that
this cycle does not last forever, we define a goal, once this is achieved; the
optimization cycle is considered complete.
DatabasesThe improvement
in speed of all time-critical SQL statements by 50% and the even use of the
hard drives and CPUs are too often intended objectives in the database area.
Ultimately, the improvements to the server response time, reflected the overall
user response time. For more than 15 years ISR has operated successfully in the "tuning relational databases" environment. Both in consulting and in training, our field staff is in demand by manufacturers such as IBM or Oracle when they themselves experience staff shortages. Titles such as "Fastest International DBA" as well as numerous certifications in this field show that we understand our tools. Ultimately, this benefits our customers, most of who have been with ISR for more then 10 years and have not needed to purchase new hardware, because our experts were able to optimize their data base systems. SAPIn many SAP® BW
implementations, the actual benefit and the usage in the departments stay well
below initial expectations. Data warehouse - CognosA major complaint in the Cognos environment is the slow response time during complex reports and multidimensional analysis. Next to the hardware, the data modeling, the type of data storage (OLAP, ROLAP, InMemory, ..) and the database configurations are most often optimized. But also the distribution of Cognos BI services or the configuration of the services through the ideal parameters is often optimized. When performance tuning, one should also consider the expanded infrastructure such as SAN, RAID configuration and network connectivity. Our long experience in the Cognos environment and our knowledge, all the way into the depths of the databases, allow us to optimize and fix all aspects of data management, data modeling and database configuration. |
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