Simple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Cat avg: 8.1
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Cat avg: 8.1
Collaboration is enabled by a shared repository of project information and metadata
Cat avg: 7.3
Ability to create and maintain data models using a graphical tool to define relationships between data
Cat avg: 8.4
Complex data transformations are data normalization, advanced data parsing, etc.
Cat avg: 7.2
Tool to debug and tune for optimal performance
Cat avg: 7
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
Cat avg: 7.9
Ability to define and manage business rules and workflows
Cat avg: 8.3
Data transformations include calculations, search and replace, data normalization and data parsing
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Category average: 8.1
Complex data transformations are data normalization, advanced data parsing, etc.
Category average: 7.2
A data model is a diagram or flowchart that illustrates the relationships between data
Ability to create and maintain data models using a graphical tool to define relationships between data
Category average: 8.4
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
Category average: 7.9
Ability to define and manage business rules and workflows
Category average: 8.3
Collaboration is enabled by a shared repository of project information and metadata
Category average: 7.3
Tool to debug and tune for optimal performance
Category average: 7
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Complex data transformations are data normalization, advanced data parsing, etc.
Ability to create and maintain data models using a graphical tool to define relationships between data
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
Ability to define and manage business rules and workflows
Collaboration is enabled by a shared repository of project information and metadata
Tool to debug and tune for optimal performance