Google Sheets Connector for SSAS

Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets

In this article you will learn how to quickly and efficiently integrate Google Sheets data in SSAS without coding. We will use high-performance Google Sheets Connector to easily connect to Google Sheets and then access the data inside SSAS.

Let's follow the steps below to see how we can accomplish that!

Download Documentation

Create Data Source in ZappySys Data Gateway based on API Driver

  1. Download and install ODBC PowerPack.

  2. Search for gateway in start menu and Open ZappySys Data Gateway:
    Open ZappySys Data Gateway

  3. Go to Users Tab to add our first Gateway user. Click Add; we will give it a name tdsuser and enter password you like to give. Check Admin option and click OK to save. We will use these details later when we create linked server:
    ZappySys Data Gateway - Add User

  4. Now we are ready to add a data source. Click Add, give data source a name (Copy this name somewhere, we will need it later) and then select Native - ZappySys API Driver. Finally, click OK. And it will create the Data Set for it and open the ZS driver UI.

    GoogleSheetsDSN

    ZappySys Data Gateway - Add Data Source

  5. When the Configuration window appears give your data source a name if you haven't done that already, then select "Google Sheets" from the list of Popular Connectors. If "Google Sheets" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

    GoogleSheetsDSN
    Google Sheets
    ODBC DSN Template Selection
  6. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    User accounts represent a developer, administrator, or any other person who interacts with Google APIs and services. User accounts are managed as Google Accounts, either with Google Workspace or Cloud Identity. They can also be user accounts that are managed by a third-party identity provider and federated with Workforce Identity Federation. [API reference]

    Steps how to get and use Google Sheets credentials

    Follow these steps on how to create Client Credentials (User Account principle) to authenticate and access Google Sheets API in SSIS package or ODBC data source:

    WARNING: If you are planning to automate processes, we recommend that you use a Service Account authentication method. In case, you still need to use User Account, then make sure you use a system/generic account (e.g. automation@my-company.com). When you use a personal account which is tied to a specific employee profile and that employee leaves the company, the token may become invalid and any automated processes using that token will start to fail.

    Step-1: Create project

    This step is optional, if you already have a project in Google Cloud and can use it. However, if you don't, proceed with these simple steps to create one:

    1. First of all, go to Google API Console.

    2. Then click Select a project button and then click NEW PROJECT button:

      Start creating a new project in Google Cloud
    3. Name your project and click CREATE button:

      Create a new project in Google Cloud
    4. Wait until the project is created:

      Wait until project is created in Google Cloud
    5. Done! Let's proceed to the next step.

    Step-2: Enable Google Cloud APIs

    In this step we will enable Google Sheets API and Google Drive API:

    1. Select your project on the top bar:

      Select project in Google Cloud
    2. Then click the "hamburger" icon on the top left and access APIs & Services:

      Access APIs and services in Google Cloud
    3. Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:

      Enable API for project in Google Cloud
    4. In the search bar search for sheets and then locate and select Google Sheets API:

      Search for API in Google Cloud
    5. Then enable Google Sheets API:

      Enable Google Sheets API
    6. Again, repeat the step and enable Google Drive API as well:

      Enable Google Drive API
    7. Done! Let's proceed to the next step.

    Step-3: Create OAuth application

    1. First of all, click the "hamburger" icon on the top left and then hit VIEW ALL PRODUCTS:

      View all products in Google Cloud
    2. Then access Google Auth Platform to start creating an OAuth application:

      Open Google Auth Platform in Google Cloud
    3. Start by pressing GET STARTED button:

      Start creating an app in Google Cloud
    4. Next, continue by filling in App name and User support email fields:

      Fill app info in Google Cloud
    5. Choose Internal option, if it's enabled, otherwise select External:

      Choose app audience in Google Cloud
    6. Optional step if you used Internal option in the previous step. Nevertheless, if you had to use External option, then click ADD USERS to add a user:

      Add test user in Google Cloud app
    7. Then add your contact Email address:

      Enter app contact info in Google Cloud
    8. Finally, check the checkbox and click CREATE button:

      Create app in Google Cloud
    9. Done! Let's create Client Credentials in the next step.

    Step-4: Create Client Credentials

    1. In Google Auth Platform, select Clients menu item and click CREATE CLIENT button:

      Start creating app client in Google Cloud
    2. Choose Desktop app as Application type and name your credentials:

      Create OAuth app client in Google Cloud
    3. Continue by opening the created credentials:

      View app client credentials in Google Cloud
    4. Finally, copy Client ID and Client secret for the later step:

      Use client ID and secret to read Google REST API data
    5. Done! We have all the data needed for authentication, let's proceed to the last step!

    Step-5: Configure connection

    1. Now go to SSIS package or ODBC data source and use previously copied values in User Account authentication configuration:

      • In the ClientId field paste the Client ID value.
      • In the ClientSecret field paste the Client secret value.
    2. Press Generate Token button to generate Access and Refresh Tokens.

    3. Open your Google Sheets spreadsheet in the browser, e.g.: https://docs.google.com/spreadsheets/d/1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU/edit.

    4. Extract the spreadsheet Id from the URL and copy it to the clipboard, e.g. 1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU.

    5. Go back to authentication configuration window and paste it into Default SpreadsheetId field.

    6. Finally, click Test Connection to confirm the connection is working.

    7. Done! Now you are ready to use Google Sheets Connector!

    Fill in all required parameters and set optional parameters if needed:

    GoogleSheetsDSN
    Google Sheets
    User Account [OAuth]
    https://sheets.googleapis.com/v4/spreadsheets
    Required Parameters
    UseCustomApp Fill-in the parameter...
    Scope Fill-in the parameter...
    Default SpreadSheetId Fill-in the parameter...
    Optional Parameters
    ClientId
    ClientSecret
    Default Tab Name (i.e. Sheet1)
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 403|429
    RetryCountMax 5
    Redirect URL (Only for Web App)
    ODBC DSN Oauth Connection Configuration

    Service accounts are accounts that do not represent a human user. They provide a way to manage authentication and authorization when a human is not directly involved, such as when an application needs to access Google Cloud resources. Service accounts are managed by IAM. [API reference]

    Steps how to get and use Google Sheets credentials

    Follow these steps on how to create Service Account to authenticate and access Google Sheets API in SSIS package or ODBC data source:

    Step-1: Create project

    This step is optional, if you already have a project in Google Cloud and can use it. However, if you don't, proceed with these simple steps to create one:

    1. First of all, go to Google API Console.

    2. Then click Select a project button and then click NEW PROJECT button:

      Start creating a new project in Google Cloud
    3. Name your project and click CREATE button:

      Create a new project in Google Cloud
    4. Wait until the project is created:

      Wait until project is created in Google Cloud
    5. Done! Let's proceed to the next step.

    Step-2: Enable Google Cloud APIs

    In this step we will enable Google Sheets API and Google Drive API:

    1. Select your project on the top bar:

      Select project in Google Cloud
    2. Then click the "hamburger" icon on the top left and access APIs & Services:

      Access APIs and services in Google Cloud
    3. Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:

      Enable API for project in Google Cloud
    4. In the search bar search for sheets and then locate and select Google Sheets API:

      Search for API in Google Cloud
    5. Then enable Google Sheets API:

      Enable Google Sheets API
    6. Again, repeat the step and enable Google Drive API as well:

      Enable Google Drive API
    7. Done! Let's proceed to the next step.

    Step-3: Create Service Account

    Use the steps below to create a Service Account in Google Cloud:

    1. First of all, go to IAM & Admin in Google Cloud console:

      Access IAM & Admin in Google Cloud
    2. Once you do that, click Service Accounts on the left side and click CREATE SERVICE ACCOUNT button:

      Start creating service account in Google Cloud
    3. Then name your service account and click CREATE AND CONTINUE button:

      Create service account in Google Cloud
    4. Continue by clicking Select a role dropdown and start granting service account Project Viewer roles:

      Start granting service account project roles in Google Cloud
    5. Find Project group and select Viewer role:

      Grant service account project viewer role
    6. Finish adding roles by clicking CONTINUE button:

      Finish granting service account project roles in Google Cloud
      You can always add or modify permissions later in IAM & Admin.
    7. Finally, in the last step, just click button DONE:

      Finish configuring service account in Google Cloud
    8. Done! We are ready to add a Key to this service account in the next step.

    Step-4: Add Key to Service Account

    We are ready to add a Key (JSON or P12 key file) to the created Service Account:

    1. In Service Accounts open newly created service account:

      Open service account in Google Cloud
    2. Next, copy email address of your service account for the later step:

      Copy service account email address in Google Cloud
    3. Continue by selecting KEYS tab, then press ADD KEY dropdown, and click Create new key menu item:

      Start creating key for service account in Google Cloud
    4. Finally, select JSON (Engine v19+) or P12 option and hit CREATE button:

      Create JSON or P12 key for service account in Google Cloud
    5. Key file downloads into your machine. We have all the data needed for authentication, let's proceed to the last step!

    Step-5: Configure connection

    1. Now go to SSIS package or ODBC data source and use previously copied values in User Account authentication configuration:

      • In the Service Account Email field paste the service account Email address value you copied in the previous step.
      • In the Service Account Private Key Path (i.e. *.json OR *.p12) field use downloaded certificate's file path.
    2. Press Generate Token button to generate Access and Refresh Tokens.

    3. Open your Google Sheets spreadsheet in the browser, e.g.: https://docs.google.com/spreadsheets/d/1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU/edit.

    4. Extract the spreadsheet Id from the URL and copy it to the clipboard, e.g. 1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU.

    5. Go back to authentication configuration window and paste it into Default SpreadsheetId field.

    6. Finally, click Test Connection to confirm the connection is working.

    7. Done! Now you are ready to use Google Sheets Connector!

    Fill in all required parameters and set optional parameters if needed:

    GoogleSheetsDSN
    Google Sheets
    Service Account [OAuth]
    https://sheets.googleapis.com/v4/spreadsheets
    Required Parameters
    Service Account Email Fill-in the parameter...
    Service Account Private Key Path (i.e. *.json OR *.p12) Fill-in the parameter...
    Default SpreadSheetId Fill-in the parameter...
    Optional Parameters
    Scope https://www.googleapis.com/auth/drive https://www.googleapis.com/auth/spreadsheets
    Default Tab Name (i.e. Sheet1)
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 403|429
    RetryCountMax 5
    Impersonate As (Enter Email Id)
    ODBC DSN Oauth Connection Configuration

  7. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

    ZappySys API Driver - Google Sheets
    Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets
    GoogleSheetsDSN
    Open Query Builder in API ODBC Driver to read and write data to REST API
  8. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in SSAS to retrieve data from Google Sheets. Hit OK button to use this query in the next step.

    SELECT * FROM [Sheet1]
    Configure table/endpoint parameters in ODBC data source based on API Driver
    Some parameters configured in this window will be passed to the Google Sheets API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.
  9. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in SSAS:

    ZappySys API Driver - Google Sheets
    Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets
    GoogleSheetsDSN
    SELECT * FROM [Sheet1]
    API ODBC Driver-based data source data preview
    You can also access data quickly from the tables dropdown by selecting <Select table>.
    A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Google Sheets API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Google Sheets servers).
  10. Click OK to finish creating the data source.

Read Google Sheets data in SSAS cube

With the data source created in the Data Gateway (previous step), we're now ready to read Google Sheets data in an SSAS cube. Before we dive in, open Visual Studio and create a new Analysis Services project. Then, you're all set!

In the example below, we use Multidimensional and Data Mining Analysis Services project, but it should work with Tabular project too.

Create data source based on ZappySys Data Gateway

Let's start by creating a data source for a cube, based on the Data Gateway's data source we created earlier. So, what are we waiting for? Let's do it!

  1. Create a new data source: Create new data source in SSAS to read API data
  2. Once a window opens, select Create a data source based on an existing or new connection option and click New...: Connect to ZappySys Data Gateway in SSAS to read API data
  3. Here things become a little complicated, but do not despair, it's only for a little while. Just perform these little steps:
    • Select Native OLE DB\SQL Server Native Client 11.0 as provider.
    • Enter your Server name (or IP address) and Port, separated by a comma.
    • Select SQL Server Authentication option for authentication.
    • Input User name which has admin permissions in the ZappySys Data Gateway.
    • In Database name field enter the same data source name you use in the ZappySys Data Gateway.
    • Hopefully, our hard work is done, when we Test Connection.
    GoogleSheetsDSN
    GoogleSheetsDSN
    Configure new data source in SSAS to read API data
    If SQL Server Native Client 11.0 is not listed as Native OLE DB provider, try using these:
    • Microsoft OLE DB Driver for SQL Server
    • Microsoft OLE DB Provider for SQL Server
  4. Indeed, life is easy again: Test connection to ZappySys Data Gateway in SSAS to read API data

Add data source view

We have data source in place, it's now time to add a data source view. Let's not waste a single second and get on to it!

  1. Start by right-clicking on Data Source Views and then choosing New Data Source View...: Create new data source view in SSAS to read API data
  2. Select the previously created data source and click Next: Connect to ZappySys Data Gateway in SSAS to read API data
  3. Ignore the Name Matching window and click Next.
  4. Add the tables you will use in your SSAS cube: Select tables to read API data in SSAS cube
    For cube dimensions, consider creating a Virtual Table in the Data Gateway's data source. Use the DISTINCT keyword in the SELECT statement to get unique values from the facts table, like this:
    SELECT DISTINCT Country FROM Customers
    For demonstration purposes we are using sample tables which may not be available in Google Sheets.
  5. Review your data source view and click Finish: Successful data source view creation in SSAS
  6. Add the missing table relationships and you're done! Create additional table relationships in SSAS to read API data

Create cube

We have a data source view ready to be used by our cube. Let's create one!

  1. Start by right-clicking on Cubes and selecting New Cube... menu item: Create new SSAS cube to read API data
  2. Select tables you will use for the measures: Choose measure tables in SSAS to read API data
  3. And then select the measures themselves: Selecting measures for SSAS cube to read API data
  4. Don't stop and select the dimensions too: Choosing dimensions for SSAS cube to read API data
  5. Move along and click Finish before the final steps: Read API data in SSAS cube
  6. Review your cube before processing it: Read API data in SSAS cube
  7. It's time for the grand finale! Hit Process... to create the cube: Process SSAS cube to read API data
  8. A splendid success! SSAS cube processed to read API data

Execute MDX query

The cube is created and processed. It's time to reap what we sow! Just execute an MDX query and get Google Sheets data in your SSAS cube:

Execute MDX in SSAS cube to read API data

Actions supported by Google Sheets Connector

Learn how to perform common Google Sheets actions directly in SSAS with these how-to guides:

Conclusion

In this article we showed you how to connect to Google Sheets in SSAS and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Google Sheets, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Google Sheets Connector for SSAS and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Google Sheets Connector for SSAS Documentation

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