| Getting Started Tutorial step | Topics to explore |
|---|---|
Connect to a sample data source |
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Drag and drop to take a first look |
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Focus your results |
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Explore your data geographically |
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Drill down into the details |
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Build a dashboard to show your insights |
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Share your findings with others |
| What do you want to do? | Try this location | For this type of content |
|---|---|---|
Learn what things are called in the Tableau Interface |
Labeled images of the Tableau User Interface (UI). | |
Find more tutorials and follow along using sample data |
Short how-to type walk throughs about how to create popular chart types, and explain when you might want to use each type, including:
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Find examples of best practices for data visualization |
Best Practices for Effective Dashboards Best Practices for Telling Great Stories |
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Get more context about Tableau products before you start to work |
In-depth discussions about best practices, industry trends, and what’s next in data analysis. | |
Find online or in-person training |
Take free online, on-demand training courses or sign up for in-classroom training to deepen your expertise. | |
Find out about working with Tableau in the context of your system configuration or in combination with other products from other companies |
Content created in response to support calls, designed to help use Tableau in specific environments or scenarios. |
| Traffic | Type | Protocol | Port range | Source |
|---|---|---|---|---|
|
Inbound |
SSH | TCP | 22 | Bastion subnet (for cloud deployments) |
| Inbound | HTTP | TCP | 80 | Internet (0.0.0.0/0) |
| Inbound | HTTPS | TCP | 443 | Internet (0.0.0.0/0) |
| Outbound | All traffic | All | All |
| Traffic | Type | Protocol | Port range | Source |
|---|---|---|---|---|
|
Inbound |
SSH | TCP | 22 | Bastion subnet (for cloud deployments) |
| Inbound | HTTPS | TCP | 443 | Web tier subnet |
| Outbound | All traffic | All | All |
| Traffic | Type | Protocol | Port range | Source |
|---|---|---|---|---|
|
Inbound |
SSH | TCP | 22 | Bastion subnet (for cloud deployments) |
| Inbound | PostgreSQL | TCP | 5432 | Application tier subnet |
| Outbound | All traffic | All | All |
| Traffic | Type | Protocol | Port range | Source | Destination |
|---|---|---|---|---|---|
|
Inbound |
SSH | TCP | 22 | Admin computer IP address | |
| Outbound | SSH | TCP | 22 | Web tier subnet | |
| Outbound | SSH | TCP | 22 | Application tier subnet |
| Inbound rules | |||
|---|---|---|---|
| Type | Protocol | Port range | Source |
| HTTP | TCP | 80 | 0.0.0.0/0 |
| HTTPS | TCP | 443 | 0.0.0.0/0 |
| SSH | TCP | 22 | Bastion security group |
| Outbound rules | |||
|---|---|---|---|
| Type | Protocol | Port range | Destination |
| All traffic | All | All | 0.0.0.0/0 |
| Inbound rules | |||
|---|---|---|---|
| Type | Protocol | Port range | Source |
| HTTP | TCP | 80 | Public security group |
| HTTPS | TCP | 443 | Public security group |
| PostgreSQL | TCP | 5432 | Data security group |
| SSH | TCP | 22 | Bastion security group |
| All traffic | All | All | Private security group |
| Outbound rule | |||
|---|---|---|---|
| Type | Protocol | Port range | Destination |
| All traffic | All | All | 0.0.0.0/0 |
| PostgreSQL | TCP | 5432 | Data security group |
| SSH | TCP | 22 | Bastion security group |
| Inbound rules | |||
|---|---|---|---|
| Type | Protocol | Port range | Source |
| PostgreSQL | TCP | 5432 | Private security group |
| SSH | TCP | 22 | Bastion security group |
| Outbound rules | |||
|---|---|---|---|
| Type | Protocol | Port range | Destination |
| All traffic | All | All | 0.0.0.0/0 |
| PostgreSQL | TCP | 5432 | Private security group |
| SSH | TCP | 22 | Bastion security group |
| Inbound rules | |||
|---|---|---|---|
| Type | Protocol | Port range | Source |
| SSH | TCP | 22 | The IP address and net mask of the computer that you will use to log into AWS (admin computer). |
| SSH | TCP | 22 | Private security group |
| SSH | TCP | 22 | Public security group |
| Outbound rules | |||
|---|---|---|---|
| Type | Protocol | Port range | Destination |
| SSH | TCP | 22 | The IP address and net mask of the computer that you will use to log into AWS (admin computer). |
| SSH | TCP | 22 | Private security group |
| SSH | TCP | 22 | Public security group |
| SSH | TCP | 22 | Data security group |
| HTTPS | TCP | 443 | 0.0.0.0/0 (Optional: create this rule if you need to access the internet to download supporting software on the bastion host) |
| Tableau Server versions | PostgreSQL minimum compatible versions |
|---|---|
|
2022.3.0 - 2022.3.7 2023.1.0 - 2023.1.4 |
13.7 |
|
2022.1.17 - 2022.1.19 2022.3.8 - 2022.3.19 2023.1.5 - 2023.1.15 2023.3.0 - 2023.3.8 |
13.11 |
| 2022.3.20 - 2022.3.x 2023.1.16 - 2023.1.x 2023.3.9 - 2023.3.x |
13.14 |
| 2024.0 - 2024.2.8 | 15.6 |
|
2024.2.9 - 2024.2.13
2025.1.0 - 2025.1.6 |
15.10 |
|
2024.2.14 - 2024.2.16 2025.1.7 - 2025.1.9 |
15.13 |
|
2024.2.17 2025.1.10 2025.3 - 2025.3.5 |
15.14 |
| 2025.3.6 | 15.16 |
|
2026.2.x - 2026.3.x |
17.7 |
|
Alibaba AnalyticsDB for MySQL‡ Alibaba Data Lake Analytics‡ Amazon Athena‡ Amazon Aurora for MySQL‡ Amazon EMR Hadoop Hive‡ Amazon Redshift‡ Apache Drill‡ Azure Data Lake Storage Gen2‡ Azure Synapse Analytics (SQL Server compatible) Box‡ Cloudera Hadoop‡ Databricks‡ Datorama by Salesforce‡ Denodo‡ Dremio by Dremio‡ |
Dropbox*‡ Esri Connector‡ Exasol‡ Google BigQuery*‡ Google Cloud SQL (MySQL compatible)‡§ Google Drive‡ Hortonworks Hadoop Hive Impala‡ Kyvos‡ MariaDB‡ Microsoft Azure SQL Database‡ Microsoft Azure Synapse Analytics‡ Microsoft SQL Server‡ MongoDB BI Connector‡ MySQL‡ |
OData‡ OneDrive*‡ Oracle‡ Pivotal Greenplum Database‡ PostgreSQL‡ Presto‡ Qubole Presto‡ Salesforce‡ SAP HANA (for virtual connections only)‡ SharePoint Lists‡ SingleStore (formerly MemSQL)‡ Snowflake‡ Spark SQL‡ Teradata**‡ Vertica‡ |
| Term | Description |
| Aggregation vs Granularity |
Aggregation is how row-level quantitative data is rolled up to a higher category, such as sum of sales or average profit. Tableau does this automatically so you can break data down to the level of detail that you want to work with. Granularity means how detailed the data is—for example, dates can have a granularity of days, months, years, etc. |
| Dimension vs Measure |
Dimensions are qualitative data, such as a name or date. By default, Tableau automatically classifies data that contains qualitative or categorical information as a dimension, for example, any field with text or Boolean (true/false) values. These fields generally appear as column headers for rows of data, such as Customer Name or Order Date, and also define the level of granularity that shows in the view. Measures are quantitative numerical data. By default, Tableau treats any field containing this kind of data as a measure, for example, sales transactions or profit. Data that is classified as a measure can be aggregated based on a given dimension, for example, total sales by region, where sales is the measure, total (or sum) is the aggregation, and region is the dimension. |
| Continuous vs. Discrete |
Continuous fields can contain an infinite number of values. This can be a range of values such as sales within a specific date range or quantities. Continuous fields are colored green in Tableau. Discrete fields contain a finite number of values such as country, state, or customer name. Discrete fields are colored blue in Tableau. |
| Element | Description |
|
A Undo |
With Tableau, feel free to experiment with your data. You can always get back to where you started with the Undo button. Use this button to reverse the last action you performed in your workbook. You can undo an unlimited number of times, back to the last time you opened the workbook, even after you saved your work. |
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B Data pane |
Displays the name of the data source that is included in the view and the available fields. Fields can be grouped based on their source table or by folder. More on the Data Pane in the Learning Library. |
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C and D Cards and Shelves |
Cards are containers for the different controls that are available in Tableau. Shelves are a type of card control. When you drag fields from the Data pane to the Columns or Rows shelves, the data is added as a column or a row on the axes in your view. When you drag fields from the Data pane to the Marks card, you can control visual properties like type, color, size, shape, and more. Only the marks in your view are impacted by this action; axes do not change. More on Cards and Shelves in the Learning Library. |
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E Show/Hide Cards |
Did you accidentally hide a card that you now need? No problem! Just about everything on the Tableau workspace can be turned on or off to provide the maximum amount of room for you to create your visualizations. To show or hide cards like Pages, Filters or Legends, click the drop-down arrow on the Show/Hide Cards You can even collapse the Data and Analytics pane to the lower left corner of the workspace by clicking the Minimize |
Steps |
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|---|---|
Step 1: Connect to your data
Learn all about the Start page and how to connect to your data.
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Step 2: Drag and drop to take a first look
Get to know the Tableau workspace, learn the language of Tableau, and start examining your data.
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GO TO STEP |
Step 3: Focus your results
Ask deeper questions and use additional tools to refine your views and gain insights about your data.
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GO TO STEP |
Step 4: Explore your data geographically
Learn how to plot your data on a map to see if you can spot any trends.
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GO TO STEP |
Step 5: Drill down into the details
Drill down into the details of your data and learn how to create a Top filter.
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GO TO STEP |
Step 6: Build a dashboard to show your insights
Learn how to build and format a dashboard to display the visualizations you created.
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GO TO STEP |
Step 7: Build a story to present
Learn how to build and format a story to present your findings.
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GO TO STEP |
Step 8: Share your findings
Share your findings with your organization on Tableau Server or Tableau Cloud, or share them with the world on Tableau Public.
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GO TO STEP |
Learning Library
Now that you're a Data Rockstar, keep learning with these additional resources.
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