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DataX brings your institution’s connected data into one governed workspace. You can discover trusted entities, query data, build reusable analytics, and manage published datasets without leaving the K16 Platform.
DataX areas appear only when they are enabled for your workspace. Your role can also limit the records and actions you see.

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Choose where to start

Catalog

Find entities, review columns and relationships, and manage blueprints. Browse the catalog.

Business glossary

Define shared terms and connect them to the blueprints that give them meaning. Manage glossary terms.

Analytics

Write SQL in worksheets, inspect results, build dashboards, and use the assistant. Explore analytics.

Lakehouse

Review deployments, import CSV data, create snapshots and exports, and classify columns. Explore Lakehouse.

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How DataX fits together

  1. The Catalog describes the entities available to your workspace.
  2. Worksheets let you query the entities you can access.
  3. Blueprints turn validated SQL into documented, versioned entities.
  4. Deployments show which published blueprint version is live.
  5. Dashboards, Reporting, snapshots, and exports make that governed data reusable.
Access rules apply throughout this flow. An entity can appear in the Catalog while sensitive values remain masked. You may also have read access without permission to create, publish, deploy, or schedule data jobs.
1

Browse the catalog

Find an entity and review its description, columns, status, and query access.
2

Open a worksheet

Start with a narrow query and verify the returned columns and rows.
3

Save reusable work

Save the query as a worksheet. If you manage blueprints, turn stable SQL into a documented blueprint.
4

Publish for downstream use

Validate the change, publish it, and review the live deployment before building reports or schedules from it.
If a page or action is missing, confirm that you are in the intended workspace and ask a workspace administrator to review your feature and role access.

Manage business glossary terms

Define shared data language and connect each term to relevant catalog blueprints.

Catalog

Browse the catalog

Find DataX entities by name, source, type, tag, or deployment status.

Review entity details

Understand an entity's metadata, columns, sample data, SQL, and available actions.

Trace entity lineage

Explore upstream, downstream, relationship, and transformation connections between catalog entities.

Create a blueprint

Build a documented DataX entity from validated SQL and publish it to Lakehouse.

Edit and publish a blueprint

Update a client-managed blueprint, validate the new version, and deploy it safely.

Manage blueprint versions

Compare live and historical blueprint versions, then stage, deploy, restore, or discard a target.

Analytics

Analytics overview

Choose the right DataX analytics workspace for queries, dashboards, reporting, or assisted analysis.

Use worksheets

Write, run, organize, and save SQL queries against your DataX catalog.

Inspect results and charts

Search query results, inspect cells and columns, and visualize returned data in a worksheet.

Export and troubleshoot worksheets

Download worksheet results and resolve query, access, and editor problems.

Build dashboards and reports

Create DataX dashboard widgets and work with embedded reporting workbooks.

Use the DataX assistant

Ask questions across catalog metadata, glossary definitions, and Snowflake data.

Lakehouse

Lakehouse overview

Publish, import, snapshot, export, and govern DataX entities in Lakehouse.

Manage Lakehouse deployments

Find live blueprint deployments, compare versions, and resolve staged changes.

Import CSV data

Upload CSV data, review the schema and sample rows, and assign access before publishing.

Create snapshots and exports

Capture published blueprint data now or on a schedule, and prepare file exports.

Manage column constraints

Classify sensitive blueprint columns so role-based data access can mask protected values.
Last modified on September 16, 2026