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 has been the development environment of choice for Advantage developers for some time. While we anticipate that other languages, such as C#, will be the choice of a growing number of Advantage developers due to the availability of the Advantage .NET Data Provider, Delphi continues to be an excellent tool for working with Advantage.

Advanced Installer- powerful and easy to use Windows Installer authoring tool, enabling developers to create reliable MSI packages that meet the latest Microsoft Windows logo certification guidelines. Extremely easy to use, powerful, fast and lightweight. Advanced Installer simplifies the process of building Windows Installer packages by providing a very easy to use, high level interface to the underlying technology. The program implements all Windows Installer rules and follows all the advised best practices. With this simple, intuitive interface, building a Windows Installer package will take just a few minutes. Start the program, add a few files, change the name, hit the Build button and you are done. No scripts to learn, no seminars to attend. Advanced Installer project files are stored in XML format. This way, they can be easily checked into a version control system. The software installer also operates at command line, so you can build your release packages in a completely automated script, like Make, Ant or NAnt. Furthermore, the most common operations are also implemented as command line actions, so you can modify your project in an automated fashion.

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.

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.

Life-Cycle Software Design includes the whole developmentcycle:
Enterprise Architect provides complete traceability from requirements analysis and design artefacts, through to implementation and deployment. Combined with in-built task and resource allocation, Project managers and QA teams are equipped with the information they need to help deliver projects on schedule.