In this session, we go beyond the basics and explore intermediate to advanced techniques for building complex but robust solutions.

We’ll focus on patterns for data validation, error handling, and bulk write-back cases, and discuss semantic model storage modes and choice of backend artifacts.

Through practical examples, we’ll cover how to:

- Enforce data quality and validation rules without sacrificing performance
- Build resilient error-handling patterns that support retries, dead-letter handling, and observability
- Efficiently process bulk inserts, updates, and merges for translytical use cases

You will leave the session with actionable architectural patterns, code snippets and best practice guidance that you can immediately apply to their own translytical task flows in Microsoft Fabric.