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Microsoft Fabric
On-Demand Webinar

Microsoft Fabric Data Pipeline: Transform and Optimize with dbt

Stop scattered SQL. Start scalable, testable, documented transformations.

Data engineering teams running Microsoft Fabric face a common ceiling. SQL scripts sprawl across notebooks with no version control. Testing is manual—or skipped entirely—eroding trust in every dashboard. Documentation ages in hours, not weeks. And as data volume climbs, these fragile pipelines buckle under their own weight.

There is a better way. dbt (data build tool) has become the industry standard for transformation workflows, trusted by data teams at Netflix, GitLab, and thousands of modern enterprises. When paired with Microsoft Fabric’s unified analytics platform, it replaces chaos with discipline: version-controlled transformations, automated data quality tests, living documentation, and complete lineage from raw source to business insight.

In this 60-minute on-demand webinar, Royal Cyber takes you from setup to production deployment. You will see a complete implementation in action—no slides full of theory. Royal Cyber’s data engineering expert walks through real code, proven patterns, and practical techniques you can apply the very next day. Walk away with templates, a testing framework, and a CI/CD blueprint ready for your own Fabric environment.
Agenda
  • Part 1: The Problem with Traditional Fabric Pipelines
  • Why scattered SQL and manual testing fail at scale
  • Part 2: dbt + Fabric – The Better Way
  • Version control, automated testing, and living documentation
  • Building modular, reusable transformation logic
  • Part 3: Live Demo – From Setup to Production
  • Configuring dbt for Microsoft Fabric
  • Establishing lineage and deploying with CI/CD
  • Running transformations and validating data quality
  • Part 4: Q&A with Our Data Engineering Expert
Speakers
Alex Jeyasingh Nesiyan

Director Technology - MS Fabric Solution

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shikhar-saraswat
Shikhar Saraswat
Data Scientist- MS Fabric Solution
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    Who Should Attend?
    Data Engineers

    building transformation pipelines in Fabric

    Analytics Engineers

    Owning data models and business logic

    Data Architects

    Designing modern data platforms

    IT Leaders

    Evaluating tools for their enterprise data stack

    Key Takeaways

    A dbt project template pre-configured for Microsoft Fabric

    Sample transformation models demonstrating best practices

    A testing framework for automated data quality validation

    A CI/CD pipeline blueprint for repeatable deployments

    A performance optimization checklist for production workloads

    Exclusive Q&A access to Royal Cyber's data engineering expert