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Baseline Findings EPA Enterprise Data Architecture / Data Management Metadata. Mike Fleckenstein, Practice Leader, MDM, Project Performance Corp. firstname.lastname@example.org 571-527-6453. Types of Data. Transactional data Measurements at a point in time Dollars earned or units sold
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Mike Fleckenstein, Practice Leader, MDM, Project Performance Corp.email@example.com
Technical- data sources, access protocol (ODBC, JDBC, SQL*NET, etc.), physical schema (database definition, table definition, column definition, etc), logical data source (ER models, object models, etc.)
Example: people within IT supporting financial reporting know that the financial data mart resides on machine "XPT001;" the data mart is refreshed, "12 a.m. every Saturday night;" data is sourced from "Hyperion GL" and period data was captured in "AP column.”
Business- contextual data about the information retrieved; taxonomies that define business organizations and product hierarchies; controlled vocabulary or reference data that are used to define business terms such as a medical dictionary, financial terminology and such.
Example: people in the finance department know performance reports come "once a month;" "GPR" stands for "Global Performance Report;" "AP7" means "Accounting Period Number 7;" and accounting period starts in "February." These descriptions are business meta data.
WITH NO METADATA MGMT
The organization of technical and business metadata with the goal to advance the sharing, retrieving and understanding of enterprise information assets.
High awareness but no governance
Sharp rise in cost for unmanaged metadata
Each element is optional
Many Standards bodies exist
Extensions can be used & registered
DC content is modifiable
Domain specific metadata extensions (e.g. geospatial)
Dublin Core adopted as standard
Metadata extensions for managing information through its lifecycle
Mandatory set of Common Look and Feel elements
Extensions for clusters and gateways