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Start 4 June 2026 17:26

Einde 4 June 2026

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Let's Automagically Stage 100 Tables - For SSIS or ADF - With Biml - Live

Explore how Business Intelligence Markup Language (Biml) can automate SSIS package creation and generate JSON for ADF pipelines, streamlining data transformation processes from on-premises to Azure.
PASS Data Community Summit via YouTube

PASS Data Community Summit

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1 hour 9 minutes

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Overzicht

Explore how Business Intelligence Markup Language (Biml) can automate SSIS package creation and generate JSON for ADF pipelines, streamlining data transformation processes from on-premises to Azure.

Lesprogramma

  • Introduction to Business Intelligence Markup Language (Biml)
  • Overview of Biml and its applications
    Benefits of using Biml in data transformation
  • Fundamentals of SQL Server Integration Services (SSIS)
  • Introduction to SSIS architecture
    Basics of ETL processes in SSIS
  • Basics of Azure Data Factory (ADF)
  • Overview of ADF components and pipelines
    Differences between ADF and SSIS
  • Biml Syntax and Structure
  • Understanding Biml files and scripts
    Key elements of Biml code
  • Automating SSIS Packages with Biml
  • Creating SSIS packages using Biml
    Automating package deployment and configuration
  • Generating JSON for ADF Pipelines with Biml
  • Introduction to JSON structures for ADF
    Using Biml to generate ADF pipeline JSON
  • Practical Use Cases and Examples
  • Real-world scenarios of Biml in data transformation
    Case studies of automating complex tables
  • Integrating Biml with On-Premises and Azure Environments
  • Strategies for transforming on-premises data to Azure
    Best practices for hybrid integration
  • Advanced Biml Techniques
  • Custom Biml scripts and reusable components
    Leveraging metadata-driven automation
  • Testing and Debugging Biml-Generated Packages
  • Techniques for validating Biml outputs
    Troubleshooting common issues
  • Best Practices and Optimization
  • Performance tuning for Biml-generated workflows
    Ensuring scalability and maintainability
  • Course Wrap-Up and Next Steps
  • Review of key concepts and skills learned
    Resources for further learning and professional development

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