Fabric COPY JOB solved by the Mystery Machine

Zoinks! Your data is scattered across clouds, databases, and creepy old file stores — and every time you try to wrangle it, something goes bump in the night. But never fear!

In this session, the Mystery Inc. gang team up with Microsoft Fabric’s Copy Job to solve “The Mystery of the Missing Data” once and for all.

We’ll follow Scooby, Shaggy, and the gang as they chase down runaway Oracle tables, unmask sneaky CDC changes, and expose the real villain behind data duplication, latency gremlins, and multi‑cloud mayhem.

Copy Job takes center stage as the zero‑ETL hero delivering full loads, incremental loads, cross‑cloud distribution, SQL‑based filtering, and petabyte‑scale movement without the spooky pipelines lurking in the shadows.

Ruh‑roh? Not anymore. From BigQuery to SAP to Snowflake to SQL Server, you’ll see how Copy Job keeps your data flowing smoothly, efficiently, and (mostly) ghost‑free.

Jinkies!

Key Takeaways:

How Copy Job captures full, incremental, and CDC changes without the haunted‑house complexity
Multi‑cloud distribution (Azure, AWS, GCP, Snowflake) made simple enough for Shaggy
Using Copy Job in pipelines to orchestrate transformations, alerts, and downstream workloads
How Copy Job handles Oracle, SAP, BigQuery, and other “monster” data sources

How Copy Job captures full, incremental, and CDC changes without the haunted‑house complexity Multi‑cloud distribution (Azure, AWS, GCP, Snowflake) made simple enough for Shaggy Using Copy Job in pipelines to orchestrate transformations, alerts, and downstream workloads How Copy Job handles Oracle, SAP, BigQuery, and other “monster” data sources