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11-29-2024 12:33 AM
Hi everyone,
I’m working on implementing Structured Streaming in Databricks to capture Change Data Capture (CDC) as part of a Medallion Architecture (Bronze, Silver, and Gold layers). While Microsoft’s documentation provides a theoretical approach, I’m looking for hands-on examples or code snippets that you’ve successfully used in a real-world project.
Specifically, I’d like to understand:
- How to ingest data into a Delta table (Bronze layer) using Auto Loader or another streaming method.
- How to process this data incrementally to create CDC and propagate changes to Silver and Gold layers.
- Any recommendations for configurations or optimizations to manage schema evolution and large datasets effectively.
If anyone has experience with this and can share practical examples or insights beyond the documentation, it would be greatly appreciated!
Thank you in advance!
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11-29-2024 04:25 AM - edited 11-29-2024 04:31 AM
Hi @JissMathew ,
Do you have access to databricks academy? I believe in their data engineering track there's pleny of example notebooks.
Or you can try dbdemos. For example, here you can find demo notebook for autoloader
Databricks Autoloader (cloudfile)
If you'd like to test it on your databricks instance just do the following:
%pip install dbdemos
import dbdemosdbdemos.install('auto-loader')
For CDC pipeline you can use following:
CDC Pipeline With Delta | Databricks
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11-29-2024 04:25 AM - edited 11-29-2024 04:31 AM
Hi @JissMathew ,
Do you have access to databricks academy? I believe in their data engineering track there's pleny of example notebooks.
Or you can try dbdemos. For example, here you can find demo notebook for autoloader
Databricks Autoloader (cloudfile)
If you'd like to test it on your databricks instance just do the following:
%pip install dbdemos
import dbdemosdbdemos.install('auto-loader')
For CDC pipeline you can use following:
CDC Pipeline With Delta | Databricks
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12-03-2024 10:33 PM
Hi @szymon_dybczak , Thank you very much. Your reply provided me with an excellent reference solution. I had been struggling with structured streaming, and your help was incredibly valuable and insightful.
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