@km1837 A practical approach would be to use the existing Power BI template (.pbit) as the starting point rather than trying to recreate the design from scratch.Since you already have a standard Power BI template containing the page header, colours, ...
@gowri_databrick A simple way to understand this is:Asset Bundles are used to deploy the project, while Lakeflow Jobs are used to run the deployed pipeline.Practical scenarioImagine an e-commerce company has a customer pipeline that runs every night....
@Sandeep11 I think a practical way to handle this is to keep the Lakeflow Connect Bronze table as SCD1/current-state data, but introduce a change-detection step before Silver.The architecture could be:Source → Lakeflow Connect (Bronze/SCD1) → Hash-ba...
@gowri_databrick Yes, checkpoints are basically how Structured Streaming remembers where it got to.For example, imagine a streaming pipeline processing customer transactions:Source → Structured Streaming → Delta tableSuppose the pipeline has processe...
@gowri_databrick Yes, this is a good example to understand why Parquet is useful.In your scenario, imagine the 500 million order records are stored in Parquet with columns like:customer_id | product_id | order_date | order_amount | payment_typeIf the...
