Data integrity becomes a crucial factor when complex activities in medical, military and industrial systems are dependent on the accurate performance of software fed by a database. Continuous verification through automated channels controlled by a separate database is the key component to performance audits success. The second database employed as the verifier is populated with the original design requirements and development test results. This insures that the original project test-results are fixed and remain programmatically accessible to be used as a matrix-monitor of guide-marks during the performance surveillance. These tests are algorithmically arranged to continuously monitor the integrity of operations executed by the live DBMS operation. Since the verifier itself is a fully functional DBMS it can be scripted to reach out to any number of additional database complexes and obtain information to continually update its use of the original test-verification algorithm. This tends to keep the verifier freshly tuned to the best programmatic approaches associated with audit routines. Depending on the database you are using, you should be able to create a record that includes information about operations performed during a specific day or a random time period. These in turn can be translated into an XML data set that describes the test parameters of the audit. The activity can now be adjusted to measure the database performance. This elaborate subset of hierarchical tags can, at this point, represent the calibration phase of the operational data-flow model. This calibration phase of the audit process is one way to systematically analyze potential system failures and help the systems auditor determine if the potential problems are machine based, operator intrusion or remote-script initiated. Choosing alternate storage platforms to save audit records helps your company establish the necessary patterns and linkages between operational relational-databases and XML transportable-databases. These two distinct characteristics engender the best opportunities for qualified audit-based scripts to reconcile query-structured data requirements with dynamic info-model flow. Your info-model flow will assist you in the many procedures required for intrusion-reporting of unauthorized access while your relational-model will give you the best opportunities for rapid business-transaction data retrieval. At this point, all of your performance audits can be scripted to follow any number of data-integrity scenarios that best suit your company’s needs. Each scripted-audit can be described by a separate XML data-tagged set there by freeing your master database from undo pressure. It is not unreasonable to extract all the information from your master database and store it in an XML format. This format allows you to invent your own company-constructed audit-language through the unlimited hierarchical blank-tags offered by XML. This independence is what gives you the chance for integrity verification in your data audit efforts.
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