Which Type of Data Source Is Used in Tableau?


Scott Campbell

Tableau is a powerful data visualization tool that allows users to connect to various types of data sources. The choice of data source plays a crucial role in the effectiveness and versatility of Tableau’s visualizations. In this article, we will explore the different types of data sources that can be used in Tableau.

1. File-based Data Sources:

Tableau supports a wide range of file-based data sources such as Excel spreadsheets, CSV files, JSON files, and text files. These types of data sources are commonly used when dealing with small to medium-sized datasets.

Importing Excel Spreadsheets:

To import an Excel spreadsheet into Tableau, go to the “Connect” pane and select the “Excel” option. Browse and select the desired Excel file from your local machine.

Tableau will analyze the structure of the spreadsheet and present you with a preview. You can then choose which sheets or tables to import.

Loading CSV Files:

To load a CSV file in Tableau, navigate to the “Connect” pane and choose the “Text File” option. Locate and select your CSV file, and Tableau will automatically detect delimiters and field properties. You can make adjustments if necessary before importing.

2. Database Data Sources:

In addition to file-based sources, Tableau allows you to connect directly to databases such as MySQL, PostgreSQL, Oracle, SQL Server, etc. This provides real-time access to large datasets stored in databases.

Connecting to a MySQL Database:

To connect Tableau with a MySQL database, click on “Connect” and select “MySQL”. Provide the necessary connection details like server name or IP address, port number (default is 3306), username, password, and database name. Once connected, you can explore tables and views in the database.

Accessing a SQL Server Database:

To access a SQL Server database, choose “SQL Server” from the “Connect” pane. Enter the server name, authentication mode, username, password, and database name. Tableau will establish a connection and allow you to select tables or write custom SQL queries for analysis.

3. Web Data Connectors:

Tableau’s Web Data Connector (WDC) feature enables users to connect to data from web-based APIs directly. WDCs can be created using JavaScript and HTML, allowing you to fetch data from various online sources.

Creating a Web Data Connector:

To create a Web Data Connector in Tableau, you need to develop a web page with JavaScript code that fetches data from the desired API. The web page should include necessary HTML elements for user interaction and data retrieval. Once the WDC is ready, you can use it to connect to the API and import data into Tableau.

4. Other Data Sources:

In addition to the aforementioned options, Tableau supports many other data sources such as cloud-based platforms like Google Sheets and Salesforce, statistical files like SAS and RData files, big data platforms like Hadoop/Hive/Impala, etc.

  • Google Sheets: To connect Google Sheets with Tableau, choose “Google Sheets” from the “Connect” pane. Authenticate with your Google account and select the desired sheet for analysis.
  • Salesforce: For Salesforce integration, click on “Salesforce” in the “Connect” pane. Provide necessary login credentials for your Salesforce account to establish a connection.
  • Hadoop/Hive/Impala: To connect to Hadoop, Hive, or Impala, select the respective option from the “Connect” pane and provide connection details like server name, port, authentication method, and credentials.

In conclusion, Tableau offers a wide range of data sources to suit various data analysis needs. Whether you have file-based datasets, databases, web-based APIs, or other specialized sources, Tableau provides seamless integration and powerful visualization capabilities. By understanding the different types of data sources available in Tableau, you can effectively leverage its features to create compelling visualizations and gain valuable insights from your data.

Discord Server - Web Server - Private Server - DNS Server - Object-Oriented Programming - Scripting - Data Types - Data Structures

Privacy Policy