How to Manage GDPR Compliance [Video]


The General Data Protection Regulation, better known as the GDPR, is a set of privacy and data protection rules applying to organizations that process personal data of people residing in either the European Union or European Economic Area. It was built to comply with legislation that went into effect on May 25, 2018 and provides individuals more control of their personal data. The GDPR simplifies the regulatory environment for international business by providing a common set of standards for all businesses working in the EU.

The GDPR requires that data production measures be built into the design of business processes that collect personal data. If a breach occurs, information about this breach must be reported to the supervisory authority. Altova has created the GDPR Compliance Database, a tool that simplifies the storage and access of metadata related to company processes that touch personal data.

The Altova GDPR Compliance Database is a long-term solution for companies looking for a permanent solution to GDPR compliance. It enables companies to respond quickly to any incidents and contains built in mechanisms for change tracking, ensuring compliance measures are well documented.

The video above provides a high-level overview of all the features contained in the Altova GDPR Database.

Learn more about the Altova GDPR Compliance Database and try it free for 30 days.

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Handling HTTP Errors in Web Service Data Mappings


Data integration projects that include information from external Web services may be vulnerable to HTTP errors when retrieving remote data. When data mappings run under automated control it’s especially important to detect and report errors even if errors only occur very rarely.

A MapForce data mapping can include Web service calls and output the result directly to a file or database, or combine it with other inputs for further processing. Regardless of the final output, an HTTP Web service error encountered in a REST Web service request puts the mapping at risk.

MapForce includes features for handling HTTP errors instead of simply aborting execution of a mapping. Developers can configure the body of a REST Web service call to handle and report exceptions based on the HTTP status code returned.

Let’s look at an example.

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Database Mapping with Database Exception Handling


Critical business processes depend on reliable data and database administrators and other data analysts want to be confident in the integrity of information stored in database tables. During automated ETL (Extract Transform Load) operations or other database import tasks, invalid data might be encountered that jeopardizes success of the procedure. Altova MapForce includes database exception handling to roll back the affected data when an error occurs and optionally proceed with the rest of a database mapping.

For instance, an error in a single record need not prevent execution of a mapping from continuing, such as when certain database constraints prevent the mapping from inserting or updating invalid data.

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