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Pimcore Inside #22 - Streamlined Imports, Maximum Control: Pimcore Data Importer Unlocked
This episode focuses on the enhanced Data Object Importer in Pimcore Studio, highlighting a more intuitive and streamlined configuration process - while keeping full compatibility with the Classic UI.
The import workflow is now clearly structured into logical steps:
1. Data Source Definition: Choose where your data comes from (e.g., files, assets, APIs) and in which format (CSV, JSON, XML, Excel, etc.).
2. Data Preview & Validation: Inspect and explore your data before importing, ensuring structure and content are correct.
3. Target Configuration (Resolver Settings): Define the target data object class, loading strategies (e.g., by ID), and update behavior (create vs. update existing objects)
4. Mapping & Transformation: Map source fields to target fields with simple direct mappings or advanced transformation pipelines (data conversion, enrichment, combining fields, asset imports, etc.)
5. Processing Settings & Execution: Configure execution options such as sequential or parallel processing, and scheduling via cron jobs
Key improvements:
- Cleaner, more logical UI flow
- Better usability for complex mappings
- Full flexibility for simple and advanced use cases
- No loss of functionality compared to Classic UI
Bottom line:
The new Data Object Importer makes complex data imports easier to configure, more transparent, and more powerful, helping users onboard data into Pimcore faster and with greater control.
Watch the full episode to see further details and insights.
Видео Pimcore Inside #22 - Streamlined Imports, Maximum Control: Pimcore Data Importer Unlocked канала Pimcore
The import workflow is now clearly structured into logical steps:
1. Data Source Definition: Choose where your data comes from (e.g., files, assets, APIs) and in which format (CSV, JSON, XML, Excel, etc.).
2. Data Preview & Validation: Inspect and explore your data before importing, ensuring structure and content are correct.
3. Target Configuration (Resolver Settings): Define the target data object class, loading strategies (e.g., by ID), and update behavior (create vs. update existing objects)
4. Mapping & Transformation: Map source fields to target fields with simple direct mappings or advanced transformation pipelines (data conversion, enrichment, combining fields, asset imports, etc.)
5. Processing Settings & Execution: Configure execution options such as sequential or parallel processing, and scheduling via cron jobs
Key improvements:
- Cleaner, more logical UI flow
- Better usability for complex mappings
- Full flexibility for simple and advanced use cases
- No loss of functionality compared to Classic UI
Bottom line:
The new Data Object Importer makes complex data imports easier to configure, more transparent, and more powerful, helping users onboard data into Pimcore faster and with greater control.
Watch the full episode to see further details and insights.
Видео Pimcore Inside #22 - Streamlined Imports, Maximum Control: Pimcore Data Importer Unlocked канала Pimcore
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30 апреля 2026 г. 11:00:00
00:09:52
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