Available main functionalities
By means of Data processing, it is easier to solve real-world business problems by creating task hierarchies and processing packages of reasonable complexity.
A number of functions for data handling can be implemented.
Typical application:
- updating databases/creating data warehouses,
- managing database structures,
- managing data:
- integration of systems on the data level,
- mass control of business processes (e.g. workflow-based),
- preparing data for exploration,
- extracting information for the purpose of bulk reporting (e.g. to BIK S.A.).
Task Hierarchy functions:
- controlling tasks in a dependency network, maintaining state and restoring after failure,
- mass update of data,
- copying and retrieving files (from/to databases, FTP, disks),
- BULK loading data from files and/or databases,
- reporting large, flat data sets,
- triggering data processing packages.
Data processing functions:
Performing more complex data transformations from many sources to many target destinations.
The platform enables the business-aware (and database-aware) client to build, design own packages and also join and use other packages solving complex business needs.
- The Data processing can extract and transform data from a variety of sources,
- Such as XML data files, flat files and relational data sources. Data can be loaded into one or more destinations. Apart from a possibility of modeling fairly any data transformation algorithm, enables performing validity and efficiency tests of a created package.
- Tests are performed on the basis of data entered by the user and therefore the results can be easily verified. For more see: GUI tests.