Sync data from GCP to Microsoft SQL Server
CloudQuery is the simple, fast data integration platform that can fetch your data from GCP APIs and load it into Microsoft SQL Server
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Step by step guide for how to export data from GCP to Microsoft SQL Server
Table of Contents
MacOS Setup
Step 1: Install CloudQuery
To install CloudQuery, run the following command in your terminal:
brew install cloudquery/tap/cloudquery
Step 2: Create a Configuration File
Next, run the following command to initialize a sync configuration file for GCP to Microsoft SQL Server:
cloudquery init --source=gcp --destination=mssql
This will generate a config file named gcp_to_mssql.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.
Step 3: Log in to CloudQuery CLI
Next, log in to the CloudQuery CLI. If you have't already, you can sign up for a free account as part of this step:
cloudquery login
Step 4: Run a Sync
cloudquery sync gcp_to_mssql.yaml
This will start syncing data from the GCP API to your Microsoft SQL Server database! 🚀
See the CloudQuery documentation portal for more deployment guides, options and further tips.
FAQs
What is CloudQuery?
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What credentials are required to sync from GCP to Microsoft SQL Server?
Can I restrict the sync to an individual project within my GCP environment?
project_ids
field. If you leave this field blank, CloudQuery will use all projects that it has been granted access to by your chosen authentication method.Can I use wildcards when selecting which projects to sync from?
project_filter
field.