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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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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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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Data Mapping Protocol Buffers (Protobuf)


MapForce 2019 supports data mapping protocol buffers with other structured data formats as mapping sources or targets. In the constant quest for more efficient ways to transfer, manipulate, and manage large structured data sets, Google has created a language- and platform-neutral data format similar to XML, but smaller, faster, and simpler than even JSON data. Tools are available to generate and work with protocol buffers (often abbreviated as protobuf) using Java, Python, C++, C#, Ruby, and other programming languages.

The structure of any protocol buffer message is defined in a .proto file that defines each field name and value type. Altova MapForce lets users drop these .proto files into a data mapping as a source or target along with any other data, including XML, JSON, relational databases, Excel, flat files, REST and SOAP web services, and other data formats. MapForce supports data mapping protocol buffers using .proto files versions 2 and 3.

A MapForce protocol buffers data mapping creates compatibility between existing XML, JSON, database or legacy data formats and new applications leveraging the efficiency of protocol buffers.

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Exploring an Unfamiliar Database with DatabaseSpy


Software developers working on a new app, data professionals in a variety of enterprises, and even database administrators often encounter unfamiliar databases and need a database tool to quickly explore tables and relationships.

Altova DatabaseSpy is a unique multi-database query, design, and comparison tool with a graphical database design editor that empowers users exploring an unfamiliar database to quickly visualize tables, relationships, and even datatype definitions that may be unique among database types.

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Update to Altova’s Database Tool Adds Important New Features


DatabaseSpy is the unique database tool that supports all major databases and facilitates database query, design, structure comparison, table content editing and comparison, and even generates elegant charts from query results.

The recent update of DatabaseSpy to version 2017 Release 3 adds several new features, including the ability to automatically generate a complete DDL script for any database schema.

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