While I always encourage profiling, there are some performance problems that are not typically caught during the development profiling stage.
Statistical views: Display basic profiling statistics for packages, methods, classes, and instances.
Arizona's governor, Jan Brewer, who signed the bill into law, retorts that it explicitly prohibits racial profiling.
By starting your testing, debugging, and profiling early in the development cycle, you can enhance the quality, performance, and scalability of your finished code.
For example, if hidden attributes are discovered to be embedded in a text string during data profiling, then these can be made explicit in a revised canonical data model.
Data profiling is not magic — it helps bring data quality issues to light, but you still need a data or business analyst or subject matter expert to review results and draw appropriate conclusions.
In this regard, BICS can be thought of as a formal service profiling language.
Programming with AMP will benefit from all programming support available in VS: intellisense, building, debugging, profiling, etc.
Treat global concerns globally: Program elements should not have much say in the participation of concerns such as tracing and profiling in a crosscutting implementation.
Some people are interested only in machine alerting, others in performance metrics, others in job profiling, and others just want to know if certain services or applications are running.
Data profiling will help to derive this knowledge from the underlying data sources.
Auditing and logging indicators like requests per amount of time, denials of access, profiling of service consumers, and so on.
Test and profiling tools.
Now you can collect profiling data, but where do you open and close your trace output file?
You need to provide only two special profiling functions.
In most situations, class interaction analysis (available with the ARM agent) is enough to help find problems, but occasionally you will need to do further profiling at the object level.
Lastly, measuring and profiling an application is extremely important to the port and creation of the application.
Techniques that are used to improve data quality, such as standardization, profiling, inspection, cleansing, transformation, and validation also apply to metadata quality improvement.
