One connect by Onibex (Delta Sharing- Databricks)

One connect by Onibex (Delta Sharing- Databricks)

Curated SAP table data by Onibex in Databricks, shared as Bronze, Silver, and Gold datasets via Delta Sharing.

This tool allows you to consume data shared via Delta Sharing and store it inside your own Databricks Unity Catalog.

Why is this important?

  • Delta Sharing data is read-only

  • To analyze, transform, or govern the data, you must import it into your own catalog

1. Connection (Data provider by Onibex)
Delta Sharing access token provided by the data owner


Delta Sharing API URL

Name of the shared dataset


Schema inside the share
2. Destination

Target Unity Catalog



Schema where imported tables will be stored
3. Action Buttons
Validates connection and discovers tables

Reloads available shared tables



Creates schema in Unity Catalog if missing


Displays imported tables
4. Process

Step 1: Enter Connection Details

  1. Paste the Delta Sharing token

  2. Paste the endpoint URL

  3. Enter the Share name

  4. Enter the Schema name

These values are provided by Onibex.


Step 2: Connect to Delta Sharing

Click 🚀 Connect to Share

✔ What happens:

  • Token and endpoint are validated

  • Share and schema are verified

  • Available tables are discovered

If successful, the catalog is automatically refreshed.


Step 3: Review Available Tables

After connection, the interface displays:
📚 TABLES AVAILABLE IN DELTA SHARING

Each table represents:

  • read-only data


Step 4: Create Target Schema (First Time Only)

Click 🏗️ Create Target Schema

✔ This will:

  • Create the schema inside your Unity Catalog

  • Example:
    main.delta_sharing_import

⚠️ This step is required before saving tables.


Step 5: Load a Table from Delta Sharing

For each table you want to import:

  1. Click 📥 Refresh Catalog

  2. The system:

    • Reads data from Delta Sharing

    • Loads it temporarily into memory

    • Displays row and column counts


Step 6: Save the Table into Unity Catalog

Click 💾 Save to Catalog

✔ What happens:

  • Data is written as a managed Delta table

  • Stored in your catalog and schema

✔ Result:

  • Table appears in Data Explorer

  • Fully queryable

  • Governed by Unity Catalog


Step 7: Verify Imported Tables

Click 📋 View My Catalog

This displays:

  • Tables created in the target schema

  • Confirmation that data is available

5. Architecture

Delta Sharing

  • Secure data sharing mechanism

  • Token-based authentication

  • Read-only access

  • Data does not appear automatically in Unity Catalog

Unity Catalog

  • Central governance layer in Databricks

  • Stores managed Delta tables

  • Supports permissions, lineage, and auditing

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