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Support Questions

INSTALLATION

DataQE OPERATIONS


INSTALLATION

De-activation After Uninstall
Q: I want to move DataQE to a new computer, but forgot to de-activate the license before uninstalling DataQE. How can I now de-activate the license from the original computer so that it can be used on the new computer?

A: DataLOGIC provides a license de-activation tool that can be used for situations such as this. Please contact DataQESupport@datalogic-systems.com for assistance.

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Upgrade to ArcGIS 10
Q: I am upgrading ArcGIS to version 10 and I want to upgrade DataQE to V5.1 for ArcGIS 10 as well. Do I need to uninstall DataQE before I upgrade to ArcGIS 10?

A: Yes. Uninstall DataQE before BEFORE you uninstall the previous version of ArcGIS. After DataQE has been uninstalled, you can then uninstall the previous version of ArcGIS. Proceed with installing ArcGIS 10 and then install DataQE V5.1 for ArcGIS 10.

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DataQE OPERATIONS

Slow Performance
Q: It takes a long time to perform some evaluations… is there a way that I can make them go faster?

A: The time it takes to perform an evaluation can vary greatly, depending on factors such as the size of the data source being evaluated and the complexity of the Rule Sets being used. The larger the dataset, and the more errors that are found, the longer the evaluation will take to complete. Some QA checks, such as the Unique Value Check and LOV Check, can also take longer to complete than others. Using a Rule Set that contains many of these types of checks to evaluate a large dataset, especially one with a large number of data errors, can significantly increase the time to perform the evaluation.

One of the simplest ways to improve performance is to make sure the Display Only 100 Records option is turned on before starting the evaluation. This option is especially useful with large datasets; only the first 100 errors found within each individual field check will be recorded, which can significantly reduce the time required to complete the evaluation if the dataset contains a large number of errors. When using this option, the total number of errors found for each field check is still reported, but the number of records stored in the result file is limited to the first 100 found, which can result in a much faster evaluation. It is strongly recommended that you use this option the first time you perform an evaluation of a data source, until you can determine the number of data errors contained in the dataset and the approximate amount of time that evaluations will take for that dataset.

Another technique that can be used to speed evaluations is to divide the individual field rules that you want to use between multiple Rule Sets. For example, if you have a particular set of rules that you want to use on a regular basis, and others that are only used occasionally, you can split them into two different Rule Sets, so that all of the rules are not processed with each evaluation performed. This approach will not make any of the individual QA checks run any faster, but can be an effective way to reduce the total time required to perform an evaluation.

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