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Tableau CRM (formerly known as Einstein Analytics) integrates with various data sources through connectors, allowing users to import and analyze data from different platforms. The generic method involves connecting to these sources, extracting data, and then preparing it for analysis within Tableau CRM. Here is a general process:

Connect to Data Source:

Access the Tableau CRM platform and navigate to the Data Manager.
Use connectors to establish connections to various data sources.
Define Data Source Settings:

Specify the required settings such as connection parameters, credentials, and authentication methods.
Extract Data:

Extract data from the connected source into Tableau CRM datasets.
Transform and Shape Data:

Use the Dataset Builder to transform and shape the data, defining relationships, creating calculated fields, and ensuring it is suitable for analysis.
Explore and Analyze:

Utilize the Explorer and Lens Editor to interactively explore and analyze the prepared data.
Here are 30 examples of data sources that Tableau CRM can integrate with:

Salesforce
Microsoft Excel
CSV files
Google Sheets
Database systems (e.g., Oracle, MySQL, SQL Server)
Amazon Redshift
Google BigQuery
Snowflake
MongoDB
RESTful APIs
JSON files
XML files
Google Analytics
Adobe Analytics
Web data connectors (custom web data sources)
SAP HANA
Hadoop/Hive
Cloudera
Teradata
Facebook Ads
Twitter
LinkedIn
Dropbox
Box
Google Drive
OneDrive
Apache Kafka
Tableau Server/Tableau Online
Google Cloud Storage
AWS S3 (Simple Storage Service)
It's important to note that the availability of connectors may vary, and some connectors may require additional setup or configuration. Always refer to the official documentation for the specific version of Tableau CRM you are using for the most accurate and detailed information on data source integration.