Learn more about how to leverage files as a data source for integrating with databases or cloud warehouses. By monitoring a specified folder for new files, Crosser can for example automatically interpret and upload CSV files into structured databases. This process involves parsing CSV data, mapping it to appropriate database columns, and potentially performing additional calculations within Crosser flows. This approach not only streamlines data ingestion from files but also enables further analysis and utilization of data across different platforms, making it a versatile solution for integrating file-based data into modern data architectures.
Watch the full video here to gain practical insights on implementations and benefits: info.crosser.i...
3 июл 2024
