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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
GCP
Microsoft SQL Server

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Step by step guide for how to export data from GCP to Microsoft SQL Server

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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?
CloudQuery is an open-source tool that helps you extract, transform, and load cloud asset data from various sources into databases for security, compliance, and visibility.
Why does CloudQuery require login?
Logging in allows CloudQuery to authenticate your access to the CloudQuery Hub and monitor usage for billing purposes. Data synced with CloudQuery remains private to your environment and is not shared with our servers or any third parties.
What data does CloudQuery have access to?
CloudQuery accesses only the metadata and configurations of your cloud resources that you specify without touching sensitive data or workloads.
How is CloudQuery priced?
CloudQuery offers flexible pricing based on the number of cloud accounts and usage. Visit our pricing page for detailed plans.
Is there a free version of CloudQuery?
Yes, CloudQuery offers a free plan that includes basic features, perfect for smaller teams or personal use. More details can be found on our pricing page.
What credentials are required to sync from GCP to Microsoft SQL Server?
CloudQuery uses application default credentials in order to sync from GCP to Microsoft SQL Server. The best option to use depends on the environment in which your sync is running, whether it is local or cloud based and your own preferences. Full details can be found in the GCP documentation.
Can I restrict the sync to an individual project within my GCP environment?
Yes, if you only want CloudQuery to use a particular project when syncing to Microsoft SQL Server, you can specify this in the 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?
Yes, CloudQuery supports wildcards when searching for projects within your GCP environment. For example, if you want to select all projects which begin with data, you would specify data* in the project_filter field.
How can I protect my credentials when authenticating with Microsoft SQL Server?
For testing purposes, you can specify your username and password directly into the configuration file. However, we strongly recommend that you do not do this in a production environment as it could compromise the security of your credentials. In production, you should use environment variable substitution to keep your information secure.
What versions of MS SQL Server can I sync to from GCP using CloudQuery?
The CloudQuery Microsoft SQL Server integration supports Microsoft SQL Server 2019 or later and Azure SQL Database version 2019 or later.

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