Preserving Relations
Powerful mapping settings allow preserving relations between imported data.
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Configure your import/export in convenient GUI wizards with no coding.
Use flexible scheduling settings to automate data export & import.
You can find detailed logs for each execution in the package Run History.
Import CSV files from Azure File Storage to GitHub entities with Skyvia. Powerful mapping features enable you to import data with the structure different from the structure of GitHub objects, use various string and numeric expressions for mapping, etc.
You can run import manually or automatically, on a schedule. For easier import automation, Skyvia supports getting a CSV file from Azure File Storage by a file mask, including a datestamp.
Powerful mapping settings allow preserving relations between imported data.
Skyvia supports INSERT, UPDATE, DELETE, and UPSERT for import to GitHub.
Skyvia can load data from one CSV file to several related GitHub objects at once.
Skyvia is a perfect tool to export GitHub entities to Azure File Storage. Automate your data export operation and get rid of redundant manual work!
Skyvia supports zip and gzip compression of result CSV files, allowing you to save storage space.
Create filters with multiple conditions and logical operators to export exactly the data you need.
Select fields to export from the main GitHub object and all of its related objects.
Integrate GitHub and Azure File Storage with minimal effort and in only a few clicks!