Talend Cloud Pipeline Designer features
| Feature | Available in... |
|---|---|
| Ability to do data transformations including filter,
flatten/normalize, aggregate, replicate, look up, join, and time
windowing. Ability to standardize, cleanse, and enrich data in the pipeline. |
|
| Extract, transform, and load (ETL) connectors. See the Talend Cloud Apps Connectors Guide. | |
| Ability to design batch and streaming pipelines in the same interface, using the same connectors and graphical components. See Talend Cloud Pipeline Designer concepts. | |
| Live preview of sample data. See Previewing data in a pipeline. | |
| Schema on-read support. See Predefined semantic types. | |
| Easily embed Python code. See Python 3. | |
| Support data formats including: AVRO, JSON, Parquet, Excel, and CSV. See Creating a test dataset. | |
| Quickly evaluate the quality of your datasets with Talend Trust Score. See Talend Trust Score. | |
| Store data in shared, common dataset repository across all Talend products. See Dataset detailed view. | |
| Write into Talend Data Stewardship campaigns. See Talend Cloud Data Stewardship campaigns. |
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