Video | Tableau | Data prep

Tableau Prep Builder: Connecting to files (Part 1 of 7)

If you're coming from Excel, connecting your data in Tableau Prep is almost entirely visual, and it even traces every field back to its origin file.

Part ofTableau Prep Builder tutorial Jan-2020
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  • Tableau Prep treats every source as a connection, with Excel tabs and named ranges both surfaced as tables
  • The supported file connector list updates monthly, so check your version supports your data type before starting
  • When you connect you can select, deselect and rename columns without affecting the number of rows entering the flow
  • Prep samples large datasets by default, but you can switch to all data at a performance cost on big files
  • Clicking a field in the flow highlights its origin file and the steps that generated it, making it easy to trace lineage

This video shows Excel users how Tableau Prep handles file connections: Excel tabs, named ranges, hyper extracts and multiple files all work through the same visual interface, and you can always trace a field back to the file it came from.

Part of a series aimed at Excel users learning Tableau Prep. Uses a standard Superstore-style Excel workbook plus a hyper extract to demonstrate connecting to one or more files.

The Breakdown
  1. Check the supported connector list first 0:41

    The list of file formats and databases Tableau Prep can connect to updates monthly, so before you start, confirm your version supports the data type you need.

  2. Connect to a file and pick a table 1:20

    When you connect to an Excel file, Prep calls the file itself a connection and treats each tab as a table; it also detects named ranges inside a sheet and surfaces those as separate tables too. Drag the table you want onto the canvas to bring it into the flow.

  3. Choose columns without affecting row counts 2:21

    Once connected, you get a sample of values for each column and can select, deselect or rename fields. This only changes which columns enter your flow — it has no effect on the number of rows coming through.

  4. Control sampling on large files 3:00

    Prep samples large datasets by default rather than loading everything; you can switch to using all the data if you need it, but be aware this carries a performance cost on big files.

  5. Add and reuse multiple files in one flow 4:10

    You can drag additional files onto the same canvas to bring in more sources, and Prep treats each one as its own connection. You can even drag the same file onto the canvas more than once if you need to reference it multiple times — useful for spotting duplicate references and keeping a flow tidy.

  6. Hyper extracts behave slightly differently 5:01

    Extract files connect the same way but typically expose fewer options — a single-table extract just gives you the one table, though newer versions can support extracts with multiple tables, so check what you're working with.

  7. Trace any field back to its origin file 6:41

    Click a field anywhere in the flow and Prep highlights the specific source file it came from, plus the exact steps (renames, calculations, groupings) that produced it — shown as greyed-out icons on each relevant step. This lets you trace lineage for a field even when it isn't in your original input but was created partway through the flow.

Worth Knowing
  • The supported connector list changes month to month, so always verify your file type is supported before you build a flow.
  • Switching off sampling to use all data can noticeably slow down performance on large datasets.
  • Extract files with only one table give you fewer configuration options than multi-tab Excel files, though multi-table extracts exist in newer Tableau versions.
Use It When

Reach for this when you're moving from Excel-based workflows to Tableau Prep and need to understand how connections, tabs, named ranges and multiple files map onto Prep's interface — especially useful when you need to audit where a specific field actually came from.

How this Rollup was made provenance & method

A Rollup is drafted by AI from the video's transcript, then reviewed and edited by Tim. Everything used to produce this one is listed below — the model, the exact prompt, and the source video — so the process is transparent and reproducible.

Transcription
On-device — NVIDIA Parakeet v3 for recent videos, OpenAI Whisper large-v3 for earlier ones. The transcript never leaves the machine or gets published.
Drafting
Claude Sonnet 5 in the cloud, from that transcript.
Prompt
The exact Rollup prompt (v2) — the full system prompt, unedited.
Source video
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Drafted
5 July 2026 at 09:38
Reviewed & edited
5 July 2026 at 09:41 · by Tim Ngwena

Model + prompt + video is everything you'd need to recreate a Rollup like this yourself. The one thing we don't share is the transcript.

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