You can analyze any data that's available in your workspace. You can access data in Data 360 from data assets such as an existing data model object (DMO), Data Lake Object (DLO) and Connections, 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 Asset | 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. - Upload Salesforce CRM Data Directly into Tableau Next (Beta)
You can now convert standard and custom CRM objects into Data Lake Objects without leaving Tableau Next. - View and Use Google Drive Data in Your Workspace
Work with Google Drive data in Tableau Next using an admin-managed connection. Analysts can browse and select CSV, XLSX, and Google Sheets files from authorized Shared Drives without configuring connections or managing separate login credentials. - 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
Monitor your data objects, data connections, and data transforms created or referenced in workspaces directly in Tableau Next without switching contexts. Use the Tableau Next Data Monitor to track data assets, including status, refresh history, source workspace, and other details. To quickly find assets, use the filter or search on any tab. - Visualize Your Data in Tableau Next
Go beyond static preview and interact directly with your data to uncover insights and patterns. - Batch Data Transforms in Tableau Next
A batch data transform is a repeatable series of operations that you can run when data updates. The first time that you run a batch data transform, it pulls in data and transforms it according to your definition. You can also run a transform manually or set it up to run at scheduled intervals. - 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. - Adding Assets to a Data Space
A data space acts as a logical partition for organizing your data. The app 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 Tableau Next 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. - Keep File-Based Connections Current
You can now set up the file-based connectors to run regular updates that ensure your Tableau Next dashboards and metrics show the most up-to-date information. - Search File-Based Connections with Enhanced Search
You can now search for files and folders by name in shared drives instead of navigating complex folder structures. This enhanced search extends beyond the local cache, enabling you to identify the correct files at a glance. - 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.