GLPI - Importação Automática do Catálogo de Serviços com DataInjection
Danilo on Model Creation
Danilo demonstrates how to create a model within the DataInjection plugin to define the parameters for importing data into GLPI. This involves specifying the type of data to be imported, such as call categories, and setting permissions for creating and updating entries. The presenter highlights the importance of configuring these settings to match the specific requirements of the data being imported. By creating a model, users can ensure that the data is imported correctly and consistently, streamlining the process of managing IT services within GLPI. The model is then validated to ensure its integrity before proceeding with the data import.
Danilo: Automating Field Mapping
The presenter explains that the DataInjection plugin can automatically map columns from the CSV file to corresponding fields in GLPI if the column names match the field names. This feature simplifies the mapping process and reduces the manual effort required to configure the data import. Danilo notes that the plugin intelligently detects and links the fields, streamlining the setup and ensuring accurate data transfer. This automation enhances the efficiency of the import process, saving time and minimizing the risk of errors.
Danilo Demonstrates Data Import
Danilo walks through the process of importing data into GLPI using the DataInjection plugin, emphasizing that creating a model is only the first step. He clarifies that the actual data import requires a separate action, where the previously created model is applied to the CSV file. The presenter then initiates the import process, showing how the plugin populates GLPI with the data from the CSV file. This demonstration highlights the distinction between setting up the import parameters and executing the data transfer, ensuring users understand the complete workflow. The successful import results in a significant number of new items being added to GLPI.
