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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5 Reasons to Choose a Graphical JSON Schema Editor


The advantages of JSON as a lightweight, interoperable data format have secured its place as a favored mechanism for serializing and transporting data on the web. However, most applications still benefit from or require validation of client-submitted data. Enter the JSON Schema spec, which lets you describe the structure of JSON data for a particular application, for both documentation and validation purposes.

Though JSON Schema code is by design human-readable, building a complex schema with nested and repeating sections in a text-only editor becomes time consuming and error-prone quickly. Let’s look at five ways a graphical editor is a must-have for JSON Schema development.

JSON Schema Editor in XMLSpy
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MapForce Tutorial (Video)


Altova MapForce is an any-to-any data transformation, conversion, and ETL tool for integrating data.

A graphical data mapping tool, MapForce has an intuitive drag-and-drop interface that lets you easily convert data between any two formats, such as XML, JSON, relational databases, EDI, and more. It also features an extensive library of conversion functions that can be chained together to form custom functions that can be reused throughout your projects.

Data translated by MapForce can be pulled to or pushed from any relational database and all data management products, and it can be adapted to customize in-house data management solutions.

The MapForce tutorial video below covers all major features offered by the data integration tool and shows example mappings between several different types of files.

You can try MapForce yourself with a free, 30-day trial.

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How to Generate CbC Correction Reports


Altova’s Country by Country (CbC) Reporting Solution makes it easy for multi-national companies to generate valid XML reports to meet the filing requirements mandated by the OECD. Now, in Version 2.0, the CbC Reporting Solution includes new functionality for generating correction reports, as well as the ability to import existing reports for easy analysis.

Let’s take a look at how these new tools make it even easier for customers to meet filing requirements without having to deal with the underlying CbCR XML syntax.

Country by Country Reporting Solution for XML
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Database Tracing to Log Changes Made by a Data Mapping Project


Database administrators and other data professionals often want to maintain a record of changes in critical databases, especially when updates are made by automated scripts or other operations. Database tracing lets administrators track critical changes or anomalies, and help recover from errors. Altova MapForce supports database tracing for all popular relational databases to log the changes made by a data mapping project to the database when the mapping runs.

When tracing is enabled, events such as database insert or update actions, or errors, are logged in an XML file that you can later analyze or process further in an automated way.

Database tracing can be enabled at the database component, table, stored procedure, or database field level. You can choose to trace all messages or only errors, or you can disable tracing completely.

In addition to tracing errors that occur during the execution of a mapping to a target database, MapForce also enables database transaction handling to roll back the affected part of the database data when an error occurs, then optionally proceed with the rest of the mapping.

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The Easy Way to Track GDPR Compliance


GDPR is an acronym that was top of mind for of privacy officers, CIOs, and even marketers across the EU during the early months of 2018. Now that we’re approaching a year since the regulation went into effect, organizations should have a handle on what type of data is impacted and how to handle compliance. The ongoing challenge is tracking and documenting the steps required for GDPR compliance as a business evolves over time.

While numerous one-off templates to create GDPR reports based on a moment in time are available, Altova has created the first long-term solution for documenting the entire GDPR compliance management process.

Let’s take a look at what GDPR compliance entails and how the Altova GDPR Compliance Database makes managing it organized and straightforward.

An easy way to document and track GDPR compliance
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