Delphi language projection for Microsoft Win32 Metadata.

Uses metadata from Microsoft Win32 Metadata project
Supports Delphi 7 - 12

Delphi language projection for Microsoft Win32 Metadata.
uses metadata from Microsoft Win32 Metadata project
supports Delphi 7 - 12

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.

Delphi language projection for Microsoft Win32 Metadata.
uses metadata from Microsoft Win32 Metadata project
supports Delphi 7 - 11.2

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.