Data & ETL
The Data & ETL category provides professional workflows and examples for handling data end-to-end — from extraction and processing to transformation and loading into databases, storage systems, or analytics platforms.
It includes templates for API/web scraping, file parsing (CSV, Excel, JSON), data cleaning and normalization, metric aggregation, scheduled updates, data synchronization between services, and integrations with analytics and BI systems.
This section is ideal for data engineers, developers, analysts, and teams building robust data pipelines, reporting systems, monitoring tools, and full-scale automation for large datasets.
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