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Shannon Barrow

As seen in: Databricks, Credit Union Times, Risk & Insurance
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Articles

Databricks Lakehouse Data Modeling: Myths, Truths, and Best Practices

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By Shannon Barrow, Kyle Hale
| Databricks
Data warehouses have long been prized for their structure and rigor, and yet many assume a lakehouse sacrifices that discipline. Here we dispel two related myths: that Databricks abandons relational modeling and that it doesn’t support keys or constraints. You’ll see that core principles like keys, constraints, and schema enforcement remain first-class citizens in Databricks SQL.
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How to perform change data capture (CDC) from full database snapshots using Delta Live Tables

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By Mojgan Mazouchi, Ganesh Chand, Dillon Bostwick, Shannon Barrow
| Databricks
All the code is available in this GitHub repository. Prior to reading this blog we recommend reading Getting Started with Delta Live Tables and Simplifying Change Data Capture With Databricks Delta Live Tables. These articles explain how you can create scalable and reliable pipelines using Delta Live Tables (DLT) declarative ETL definitions and statements.
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How to perform change data capture (CDC) from full table snapshots using Delta Live Tables

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By Mojgan Mazouchi, Ganesh Chand, Dillon Bostwick, Shannon Barrow
| Databricks
All the code is available in this GitHub repository. Prior to reading this blog we recommend reading Getting Started with Delta Live Tables and Simplifying Change Data Capture With Databricks Delta Live Tables. These articles explain how you can create scalable and reliable pipelines using Delta Live Tables (DLT) declarative ETL definitions and statements.
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