> For the complete documentation index, see [llms.txt](https://daton-sarasanalytics.gitbook.io/daton/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://daton-sarasanalytics.gitbook.io/daton/integrations/data-sources/databases/gcp-mysql.md). # GCP MySQL ### Subtopics: * [About GCP MySQL Platform](/daton/integrations/data-sources/databases/gcp-mysql/about-gcp-mysql-platform.md) * [Essential Attributes](/daton/integrations/data-sources/databases/gcp-mysql/essential-attributes.md) * [How to Integrate GCP MySQL with Daton](/daton/integrations/data-sources/databases/gcp-mysql/how-to-integrate-gcp-mysql-with-daton.md) With GCP MySQL, users can deploy and manage MySQL databases in the cloud without the need for infrastructure management, allowing them to focus on their applications and data. This connector enables integration with Google Cloud Platform's managed MySQL service in Daton. It allows users to extract data from GCP MySQL databases and load it into their desired destination for further analysis and processing. The subtopics will provide detailed insights into integrating GCP MySQL as a data source in Daton. The documentation covers essential aspects allowing users to seamlessly extract, transform, and load data from GCP MySQL to their preferred data destination. With step-by-step instructions and technical details, this documentation empowers users to maximize the potential of GCP MySQL and leverage its capabilities effectively within Daton's data integration platform. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://daton-sarasanalytics.gitbook.io/daton/integrations/data-sources/databases/gcp-mysql.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.