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Tableau CRM Reader

Note

This adapter is in preview and is available on Striim Developer only. See Striim Developer for more information.

Tableau CRM, formerly Einstein Analytics, is an analytics solution with data management, visualization, and predictive capabilities. Built on Salesforce, it allows users to act on insights. It integrates data from inside and outside Salesforce, offering data preparation and AI-powered analytics. Tableau CRM delivers business intelligence through interactive dashboards, optimized for mobile use. It helps businesses make faster decisions with AI-powered predictions.

The Tableau CRM Reader connects to the Tableau CRM platform and reads supported objects.

Feature summary

Feature

Supported?

Notes

Objects

Standard objects

Custom objects

Authentication

Basic authentication

Username and password

OAuth authentication

Manual configuration based

Custom authentication methods

Not all methods may be supported

Operations

Automated mode

Initial load

Pull-based incremental load

Push-based incremental load

Automated pipeline

Governance

Connection profile

Sherlock AI

Sentinel AI

Schema handling

Initial schema creation

Works with supported targets

Schema evolution

Setup

Wizard template

Flow Designer

Striim TQL

Runtime

Resilience/recovery

Parallel execution

Metrics

Standard metrics

Supported authentication method

The Tableau CRM Reader supports OAuth authentication. Creating a connection requires creating a connected app in Salesforce, obtaining OAuth credentials from the app details, obtaining an authorization code and exchanging the credentials for access and refresh tokens, and setting the connection properties in Striim.

To create a connection using OAuth authentication:

  1. Create a Connected App in Salesforce in Setup > App Manager.

  2. Enable OAuth, set the callback URL, and select the scopes.

  3. Get Client ID (Consumer Key) and Client Secret (Consumer Secret) from the app details.

  4. Use the following curl commands to get tokens:

    Authorization request:

    curl --request GET 'https://login.salesforce.com/services/oauth2/authorize?response_type=code
    &client_id=YOUR_CLIENT_ID&redirect_uri=YOUR_REDIRECT_URI' 

    Access and refresh token request:

    curl --request POST 'https://login.salesforce.com/services/oauth2/token' \ --header 
    'Content-Type: application/x-www-form-urlencoded' \ --data-urlencode 'grant_type=authorization_code' \ 
    --data-urlencode 'client_id=YOUR_CLIENT_ID' \ --data-urlencode 'client_secret=YOUR_CLIENT_SECRET' \ 
    --data-urlencode 'redirect_uri=YOUR_REDIRECT_URI' \ --data-urlencode 'code=AUTHORIZATION_CODE'

Supported objects

The following are the supported objects for reading from Tableau CRM:

  • Dataset_Account

  • Dataset_Activity

  • Dataset_Analytics

  • Dataset_Case

  • Dataset_DTC_Opportunity_SAMPLE

  • Dataset_Fashion

  • Dataset_OneMillion

  • Dataset_Opportunity

  • Dataset_Opportunity_products

  • Dataset_Pipeline_trending

  • Dataset_Plain_quota

  • Dataset_Product

  • Dataset_Quota

  • Dataset_User

  • Dataset_User_role

  • Lens_Explore_Opportunities

  • Lens_Historical_Pipeline_By_Forecast

  • Lens_Historical_Pipeline_By_Stage

  • Lens_Historical_Pipeline_Forecast_By_Quarter

  • Lens_Historical_Pipeline_Stage_By_Quarter

  • Lens_Sales_Stage_Details

  • Lens_X100KLens

Tableau CRM Reader properties

Property

Type

Default value

Notes

Subdomain

String

The instance of the Tableau CRM API used. Used to connect via a branded login page. Applicable only in authentication.

Client ID

String

The client ID assigned when you register your application with an OAuth authorization server.

Client secret

Password

The client secret assigned when you register your application with an OAuth authorization server.

Refresh token

Password

The OAuth refresh token for the corresponding OAuth access token.

Connection pool size

Integer

20

Specifies the maximum number of active connections.

Exclude tables

String

A list of tables excluded from read operations. Typically used to create a list of exceptions when the Tables property includes wildcards. Misconfiguration of the Tables and Exclude Tables properties can cause "Invalid table names" errors.

Incremental load marker

String

The incremental load marker is a unique incremental column in each object used for incremental load. When no marker is specified, tables are resynced at each polling interval.

Specify the name of the column that contains the start position value. This column must meet the following criteria:

  • It should have an integer or timestamp data type (for example, a creation timestamp or an employee ID).

  • The values must be unique and continuously increasing to ensure proper incremental reading.

Migrate schema

Boolean

False

Only available in Initial Load or Automated mode. Set to True to enable initial schema migration, which propagates the object schema from the source to the target.

Mode

Select list:

  • Automated mode

  • Initial load

  • Incremental load

Automated

Automated mode applies incremental updates to objects that support incremental load and performs full resyncs for objects that do not support incremental load.

Polling interval

Integer

5m

Specifies an interval as an integer followed by a unit. Supported units are days (d), hours (h), minutes (m), or seconds (s). The reader polls the source at the specified interval.

Start Position

String

%=-1

Value of the incremental load marker that defines the initial reading position.

Tables

String

A semicolon-delimited (;) list of objects to read from the source. Supports the % wildcard. Misconfiguration of the Tables and Exclude Tables properties can cause "Invalid table names" errors. Do not modify this property when recovery is enabled for the application.

Thread pool count

Integer

10

The number of parallel running threads. The default value of zero specifies single-threaded operation.

When the value of the thread pool counter is higher than the connection pool size, large data ingestion operations can cause the app to halt. Since best performance is achieved when using one thread for each table being synced, increasing the size of the connection pool to match the number of threads in use is a performance best practice.