Talend Announces New Version of its Enterprise Open Source Data Quality Solutions

Talend Data Quality and Talend Open Profiler Now Make Data Quality More Extensible, Versatile and Automated

ORLANDO, Florida. - TDWI World Conference - November 3, 2009 - Talend, the recognized market leader in open source data integration software, today announced the availability of enhanced versions of its Talend Open Profiler and Talend Data Quality solutions. Talend made the announcement at the TDWI World Conference in Orlando (November 1-6, 2009) where the company is exhibiting its full line of data integration and data quality products.

The new versions of Talend Open Profiler and Talend Data Quality enable organizations of any size to better manage their corporate data. The new features deliver improved usability, expanded support for a large number of data sources and can allow the creation and sharing of custom plug-ins specific to various vertical industries-such as healthcare, retail and financial services-that have specific rules about data validation. The upgraded products also enable customers to take advantage of Talend's upcoming open source Master Data Management offering, which was announced in September, 2009.

“Open source software is quickly becoming the choice for companies that need to implement cost effective solutions to address their data quality and data integration needs,” said Fabrice Bonan, co-founder and COO of Talend. “The new versions of Talend Open Profiler and Talend Data Quality make it even easier to ensure data quality in the enterprise; these two upgrades offer the enhanced features our customers are looking for and fit into any environment.”

Talend Open Profiler is the first open source data profiler and provides businesses with a snapshot assessment of the quality of their data, based on indicators they create for each individual data element or combination thereof. Talend Data Quality is the first open source enterprise data quality platform that combines data profiling and data cleansing in the same environment. It enables organizations to utilize correct data within their information systems, while identifying and eliminating bad, corrupted or duplicate data.

Talend's Data Quality solutions are used across a broad range of industries, each with its own set of data quality requirements in varying environments. The new versions of Talend Data Quality and Talend Open Profiler introduce upgraded features and benefits including:

• Custom Plug-In Support: Users can now build customized data quality plug-ins to measure and/or correct specific aspects of data quality with custom logic-for example complex dependencies between data items, or industry-specific data validation logic (computations, lookups and more). Customers and partners can easily build plug-ins and share them with other community members through Talend Exchange.
• Support for Additional Data Sources: Talend Open Profiler and Talend Data Quality now support native profiling of DB2 for zOS and DB2 for i (formerly known as DB2/400), in addition to the already-supported Oracle, Microsoft SQL Server, MySQL, and PostgreSQL. In addition, a database-independent profiling capability is now available, supporting standard portable SQL via a JDBC connection.
• Functional Dependencies Analysis: With this new feature, data profiling users can analyze and measure dependencies between several data fields. Examples would include: using a set of patterns for telephone numbers or postal codes that is dependent on the country, or checking that the “maiden name” field is left empty for male individuals.
• Automated Deduplication: When detecting an important number of duplicates in a profiling analysis, Talend Data Quality can now automatically generate the data cleansing processes that will remove and resolve these duplicates, dramatically improving the overall data quality process efficiency.

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