Copy (ELT) GitHub data to Google Cloud SQL for MySQL in a few clicks and keep it up to date automatically.
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If needed, configure replication settings — exclude certain fields, change table naming, apply data hashing, add filters for data.
Configure scheduling and run replication every month, week or day, at specific time or recurrently at any interval, up to once per minute.
View all the integration runs for any period, get email notifications and detailed per-record error logs in case of errors to help you be aware of the situation.
Skyvia's Replication is an easy-to-use ELT tool that lets you set up GitHub replication to Google Cloud SQL for MySQL in several minutes. It allows you to copy GitHub objects (including entities) to Google Cloud SQL for MySQL and keep the copy up to date.
You don’t need to prepare the Google Cloud SQL for MySQL database — Skyvia creates the tables, corresponding to the GitHub objects, in the data warehouse automatically. Besides, it can automatically modify target Google Cloud SQL for MySQL tables according to new fields added in GitHub.
With Skyvia you can extract and load all the data from a GitHub object or disable loading for some GitHub object fields. You can also configure filters for data to replicate.
Skyvia allows you to hash sensitive data, like names and emails. You can conceal personally identifiable information for better compliance and preserve analytical value of replicated data at the same time.
Skyvia not just copies GitHub data to Google Cloud SQL for MySQL once, it can keep your Google Cloud SQL for MySQL database up-to-date with GitHub automatically, ensuring you always have fresh data for data analysis without any user intervention.
History mode allows you to store all versions of GitHub records in your Google Cloud SQL for MySQL database instead of keeping only the current versions. You can select the mode for each object separately.
By default, target tables are named in the same way as source objects. Skyvia offers settings that allow you to change target table names — for all GitHub objects in the integration or for each one separately. This is especially useful if you load several GitHub instances into the same Google Cloud SQL for MySQL database, and want to use separate tables for them.
Skyvia combines a high-performance optimized batch data loading into Google Cloud SQL for MySQL with a granular, per-record data insertion and error logging in case of any errors.
If you need more than just to copy data from GitHub to Google Cloud SQL for MySQL, you may use Skyvia's powerful ETL functionality for GitHub and Google Cloud SQL for MySQL integration. Skyvia's Import tool will correctly extract GitHub data, transform it, and load to Google Cloud SQL for MySQL when Google Cloud SQL for MySQL tables have different structure than GitHub objects. Moreover, Skyvia Import allows loading data in any direction, supporting Reverse ETL scenario.
For more complex cases, you can use Data Flow and Control Flow tools. They are designer-based solutions for creating complex data pipelines, involving not only GitHub and Google Cloud SQL for MySQL connectors, but any number of connectors in one integration. With these tools you can automate data workflows, involving custom logic, complex multistage transformations, combine data from different sources, load them into multiple destinations at once and many more.
Use flexible scheduling settings to automate replication
You can find detailed logs for each execution in the package Run History.
Enable email notifications and always know if anything goes wrong.
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Integrate GitHub and Google Cloud SQL for MySQL data with minimal effort with Skyvia.
