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Adding Data to a Tableau Next Workspace
You can analyze any data that is available in your workspace. You can access data from an existing data model object (DMO) in Data 360, connect to a semantic model that has a data connection, or upload your own data from files or cloud-based resources. Changes you make in Tableau Next don't affect the source data in Data 360 or in your original files.
Required Editions
| View supported editions. |
You can use these data types in Tableau Next.
| Data Type | Description |
|---|---|
| Comma-separated value (CSV) | A text file that stores data in a table-like format. CSV files are commonly used to move data between applications and programs. The file can be up to 10 MB. For more information on what’s supported for CSV files, see Supported File Formats in Data 360. |
| Excel (.xlxs) | A file that stores data in spreadsheet format. .xlsx files are used for data organization, analysis, and visualization. The file can be up to 10 MB. For more information on what’s supported for .xlxs files, see Supported File Formats in Data 360. |
| Data model object (DMO) | A Data 360 metadata object that describes the structure and schema of data stored in one or more data lake objects. |
| Data lake object (DLO) | Contains the raw data ingested into Data 360 or referenced from an external system, such as Snowflake. A DLO can contain both raw data and data that is calculated during ingestion. |
| Calculated insight object (CIO) | A data model object created after a calculated insight is processed. You can connect to an existing CIO in Data 360 and add it as a data asset in your workspace. |
| Semantic model | A collection of metadata that describes a set of data stored in Data 360. A semantic model can have one or more data objects that describe the grouping of semantic definitions. It can also include metrics and calculated insights. |
- Add an Existing Data Asset to a Tableau Next Workspace
You can add existing assets such as data connections, data model objects, dashboards, and semantic models, to new or existing Tableau Next workspace. - Upload Data to a Tableau Next Workspace Using a CSV File
Add your own data to a new or existing workspace using a CSV file. The data is parsed, verified, and added to a new data object. You can then use it in a semantic model, visualization, or dashboard. - Upload Data to a Tableau Next Workspace That Use an Excel File
Convert local Excel data into native Data Cloud assets for semantic models and visualizations. Tableau Next supports Excel files up to 100 MB and 500 columns. - File Upload Processing Modes and Limits
Upload processing modes in Tableau Next are based on file size and column count thresholds. Files exceeding standard limits are automatically queued for asynchronous processing, optimizing resource allocation without impacting platform stability. - Monitor Your Data in Tableau Next (Beta)
Monitor your data lake objects (DLO) referenced in workspaces directly in Tableau Next. Do all your data-related tasks in one space without switching context. The Tableau Next Data Monitor provides you with tracking information for your DLOs and data connections, including status, source workspace, and other details. - Visualize Your Data in Tableau Next
Go beyond static reports and interact directly with your data to uncover insights and patterns. - Connect to Data Sources with the Connector Catalog
Centralize your data management by building a curated library of data connectors within the new Connector Catalog. This unified interface shows all supported platforms alongside their specific connection features and requirements. - Review Data Uploaded to Tableau Next
After you upload an existing data asset or a CSV file to a Tableau workspace, you can review the fields and data types, along with up to 100 rows of data in each field. After reviewing, you can use newly uploaded data immediately for models or visualizations. - Adding Assets to a Data Space
A data space acts as a logical partition for organizing your data. By default, the system places your assets in the default data space. However, if other data spaces are available in Data 360, you can add assets to one of them. - Rename Data Source Columns in Your Workspace
Optimize data clarity by renaming data source columns to align with your organization's business terminology. Modifying these field names in your workspace ensures that you interact with familiar labels during analysis. - Search for Data Tables and Schemas
Efficiently navigate data structures by searching for schemas and tables across all active connections in Tableau Next from the search bar. Scan your data sources and see matches that preserve their original folder hierarchy and context. - Turn on Acceleration for Data Connections
Data acceleration improves query performance by temporarily caching data in Data 360. Acceleration is off by default when you add an external database connection. You can turn it on by selecting Full Refresh or Incremental Refresh. - Update Data Lake Objects with Excel and CSV File Refreshes
Keep your analytics current by replacing existing data sources with updated Excel or CSV files directly within the Data Lake Object. This streamlined upload process maintains your established data structures while ensuring users always work with the latest records. - Date and Datetime Formats in Tableau Next
Tableau Next recognizes and supports multiple date and datetime formats.
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