🪙 Transforming Data in Databricks – Silver Table Creation with Constraints ⚙️
- Josh Adkins
- Jun 2
- 1 min read
In this week’s cloud engineering series video, we take the Bronze table from last week and evolve it into a refined Silver table using Spark SQL in the Hive Metastore.
This is where data transformation begins.
We’ll walk through:
🔄 Changing data types for clarity and consistency
🧮 Generating new calculated columns
🛑 Enforcing constraints to raise data quality
💡 Encouraging experimentation to learn what works best for your pipeline
By the end, you’ll have a clean, structured table—ready for analytics or further processing in your Gold layer. This is where your raw data starts becoming valuable.
📊 Follow along weekly as we explore how to build resilient, scalable, and governed cloud data platforms!
👉 If your team is exploring how to modernize your data stack or scale your cloud analytics—reach out! I’d love to talk about how I can help.
#CloudEngineering #DataEngineering #Databricks #PySpark #ETL #ModernDataStack #DataOps #SyntheticData #Synthea #Azure #AWS #MedallionArchitecture
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