Scenario -1:
A retail company receives daily updates for its product catalog, including new products, price changes, and discontinued items. Instead of overwriting the entire catalog or simply appending new records, they need to upsert the incoming data-updating existing products with the latest information and inserting new products-ensuring the catalog remains accurate and up-to-date in real-time.
- Create a catalog in Databricks. Then create a schema to be clear.
- Now, create a source database. Create a table named products and insert the values into it.
- Open the notebook in Databricks. Then follow the steps shown in the images.
The table is updated.
Final Output. The previous data is updated with the latest data.
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