Installation Instructions
These steps walk you through installing all the packages that you have access to — SDV Enterprise, as well as any other bundles.
What will you need to get started? Please make sure you have your email and license key on-hand. If you do not know what your email and license key, please contact DataCebo.
Please also double check that your machine meets the Technical Requirements for SDV Enterprise.
Get the SDV Installer
Use the SDV Installer: We recommend using the SDV Installer to verify technical requirements, check your credentials, and easily download all the packages you have access to.
Start by installing the SDV Installer:
pip install sdv-installer --upgradeIf you have previously installed the SDV Installer, this same command will also update it.
Step 1: Install all packages
The SDV Installer is able to look up all the packages that you have access to, and install each one. Run the command below in your terminal console:
sdv-installer install --upgrade --username [email protected] --license-key 123This same command will also update any existing versions of SDV Enterprise to the latest version..
For your username, enter the email that is associated with your SDV Enterprise license
For your license key, enter your license key. Please be sure you copy-paste exactly as provided by DataCebo.
If this authenticates successfully, the installer will automatically install all the packages you have access to — SDV Enterprise, as well as any additional bundles you have purchased.
Installing SDV Enterprise:
sdv-enterprise (version 0.30.0) - Installed!
Installing Bundles:
bundle-cag - Installed!
bundle-xsynthesizers - Installed!
Success! All packages have been installed. You are ready to use SDV Enterprise.Are you trying to install the AI Connectors bundle? This bundle will not be fully installed by default, because it requires you to input the names of your databases. To use this bundle, please re-run the installation command for this particular package with the database names.
For more information about the available database, see the AI Connectors docs page.
Step 2: Verify the installation
To verify that your installation worked, open Python and run the following commands:
If you've successfully installed SDV Enterprise, this should print a version of SDV Enterprise from this page.
FAQs
Having problems installing SDV Enterprise? Please ensure your machine meets the Technical Requirements, and refer to the Troubleshooting page for next steps.
Can I provide my credentials in any other way?
Instead of the --username and --license-key flags, you can instead provide a JSON filepath that contains your credentials. The JSON should contain a key called "username" that maps to your username and a key called "license_key" that maps to your license key.
For example, you can create a file called my_credentials.json with your information:
Then provide the file during installation.
If you don't provide any credentials, then SDV Installer interactively prompts you to input them directly.
Can I install the package in multiple environments?
Yes! Some customers may choose to install the SDV Enterprise in multiple environments, for example a data science environment and a testing environment.
You can install the same package separately in multiple environments. Or, if your environments have different technical requirements, you can download multiple packages and install a separate packages in each.
Can I download SDV Enterprise for a different environment than the one I'm currently using?
Yes. In order to do this, you'll need to download the packages into a local folder first, transfer the folder to the final destination, and then install for it. Please see our instructions for Download & Install Offline.
SDV Installer is not working for me. Can I go back to the old instructions?
We created the SDV Installer to allow you to easily install all the packages that you have access to (SDV Enterprise as well as other bundles). If this is not working for you, please head to our Troubleshooting page for more details.
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