"Datenimport" refers to the process of bringing data from external sources into an internal system or application. This allows users to collect, combine, and store data from various sources in a central system or application for further processing or analysis.
Typical modules and functions of software in the "Datenimport" area include:
Data Source Selection: A module that allows users to select the data source from which the data will be imported. This can be a file, a database, an API (Application Programming Interface), or another external system.
Data Mapping: Functions to map the imported data fields to the corresponding fields in the internal system. This enables correct and consistent integration of the data.
Validation and Transformation: Modules to validate the imported data for completeness, consistency, and correctness. It may also include functions to transform or convert the data into the required internal format.
Duplicate Detection: Functions to identify and handle duplicates during the import process to avoid data redundancy and improve data quality.
Error Handling: Mechanisms for error detection and resolution during the import process. This may include logging errors, warnings, and exceptions, as well as providing mechanisms for manual correction.
Automation: Functions to automate recurring import operations, including scheduling import jobs at specific times or regular intervals.
Security and Access Control: Security mechanisms to protect sensitive data during the import process and control access to import functions and data.
Logging and Auditing: Logging import activities and capturing changes for tracking and auditing import operations.
Scalability: Ability to process large volumes of data and scale import functions to meet data volume and user requirements.
Integration with Other Systems: Options for seamless integration of the import module with other applications, systems, or data sources for efficient data capture and processing.