Enterprise Metadata Management
Share, Track and Re-Use Simple Syntax in Eclipse
Metadata defines the layout and lineage of transactional data and master data in the enterprise. According to Gartner's Guido de Simone, enterprise metadata management (EMM) is designed to link, reconcile, and govern the information in our enterprise.
Because managing metadata effectively is a key to properly integrating, cleansing, protecting, and dealing with changes in data, a straightforward, unifying metadata infrastructure is desirable.
Unlike the metadata in legacy platforms, IRI's data definition file (DDF), mapping task (job) control (.*CL), scripts, data class and rule libraries, and ETL XML (flow) project metadata are all accessible, explicit, portable, and common across all data sources and platforms, including Hadoop.
IRI metadata is exposed in self-documenting text scripts you can modify and run anywhere. It is also supported in the IRI Workbench GUI, built on Eclipse™, where it is modeled in EMF so you can easily:
Create and Acquire
Discover, define, or import and
See and change source and column-
level attributes by hand or in dialogs.
Define, apply, save, modify, and
re-use rule sthat affect data in
multiple places at once.
Save and Reuse
Local, remote, and third-party
data, across platforms, projects,
Data in integration, migration,
reporting, masking, and testing jobs
Standardize and Save
Metadata, master data values
and formats, and rules (for
mapping, masking, or generation)
AnalytiX DS Mapping Manager (AMM) and the Meta Integration Model Bridge (MIMB) also support IRI metadata. Their users can easily convert BI, CRM, ETL, and modeling tool metadata into the common metadata format of IRI software. Those using AnalytiX DS with Voracity can also leverage state-of-the-art metadata lineage and reference data management tools in the same Eclipse GUI, IRI Workbench.
See this article on capturing business value through Enterprise Metadata Management for more information.