Discover and Model Data


Next Steps
Overview Discover Design Deploy Support Extract Transform Load Flat-File ETL ELT Cleanse Federate MDM Migrate Protect Report

All the feature-functions listed below are supported in software and solutions within the IRI Data Manager suite, and the IRI Voracity total data management platform for data discovery, integration (ETL), migration, governance, and analytics.

Note: DTP refers to the Data Tools Platform, and its Data Source Explorer, in the IRI Workbench GUI, built on Eclipse™.

Activity Options

Analyze data structures, keys, and enumerated domains in tables and file in the IRI Workbench GUI for Voracity.

Workbench includes Eclipse DTP and robust IRI wizards for ER Diagramming, Database (DB) Profiling, Flat-File Profiling, Metadata Discovery, and Dark Data Discovery for unstructured text sources. Use the DB Profiler, for example, to generate selected column statistics, search for patterns and fuzzy value matches, and check referential integrity.

Submit validation rules, discover column value anomalies, and silo data out of range ahead of data integration, quality, masking or test data operations in Voracity.

Use IRI professional services or partners for help to identify, isolate, and address actionable data, master data, and data at risk throughout the enterprise.

Data Modeling & Classification

Use the free ER diagramming wizard in IRI Workbench to visualize relational, star, and other DW schema. Use CoSort SortCL programs in Voracity to migrate between schema (e.g. relational to star).

Define and manage enterprise-wide data class libraries, and use them to apply transformation and protection field rules across multiple sources at once.

Metadata Definition

Use the Metadata Discovery wizard to preview structured data and auto-define fields in IRI-standard Data Definition File (DDF) format.

Use the Dark Data Discovery wizard to report on metadata in unstructured documents -- and define the DDF layouts for the structured files it creates -- from pattern-matching values in those documents.

Use automatic metadata conversion ("2DDF") utilities to create DDF form DDL, file structures, and third-party metadata structures.

Use AnalytiX DS Mapping Manager or MIMB to create reusable DDF metadata repositories for IRI jobs from metadata you already have from third-party BI, CRM, DB, ETL, and modeling tools.

Import existing DDF, and create DDF via direct scripting, GUI form editors, or during source-target mapping. Manage DDF versions, lineage, and security in EGit, etc.

Discover existing transaction and reference data. Use the MDM Data Unification wizard to identify, unify, and store master values.

Create composite data values as new template data types in SortCL.

Build composite forms in RowGen for master test data.

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