Allows users to build customised data quality plug-ins to measure and correct aspects of data quality
Talend has unveiled the enhanced versions of its Open Profiler and Data Quality offerings, which enables organisations to better manage their corporate data.
The company said that the new features of Open Profiler and Data Quality offer 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.
According to Talend, the Open Profiler is an open source enterprise data quality platform that combines data profiling and data cleansing in the same environment. It provides businesses with a snapshot assessment of the quality of their data, based on indicators they create for each individual data element. It enables organisations to utilise correct data within their information systems, while identifying and eliminating bad, corrupted or duplicate data. The Data Quality offerings are used across a range of industries, each with its own set of data quality requirements in varying environments.
Talend said that the new versions enable users to build customised data quality plug-ins to measure and/or correct specific aspects of data quality with custom logic. They 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.
The new versions also offer functional dependencies analysis, which enables data profiling users to analyse and measure dependencies between several data fields. Talend Data Quality can now automatically generate the data cleansing processes that will remove and resolve the duplicates, improving the overall data quality process efficiency, the company said.
Fabrice Bonan, co-founder and COO of Talend, said: “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.”