What is meant by Data import?

"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.