Azure DevOps Pipelines for BI

Overview

Learn to implement DevOps practices for SQL databases, Analysis cubes, and SSIS packages using Azure DevOps Pipelines. Discover techniques for code tracking, compile-time checking, and efficient deployments.

Syllabus

• Introduction to Azure DevOps Pipelines
Overview of DevOps principles
Introduction to Azure DevOps services
Setting up Azure DevOps accounts and projects
• Git Version Control for BI Projects
Introduction to Git and repository setup
Branching strategies and code management
Best practices for SQL, SSAS, and SSIS projects
• Azure DevOps Pipelines Basics
Understanding pipelines, jobs, and tasks
Setting up your first pipeline
Continuous Integration (CI) concepts
• Building and Deploying SQL Databases
Automating SQL database builds
Implementing compile-time checking for SQL scripts
Best practices for SQL database deployments
• Building and Deploying Analysis Services Cubes
Introduction to SSAS project structures
Automating SSAS cube builds
Techniques for deploying cubes with minimal downtime
• Building and Deploying SSIS Packages
Overview of SSIS project deployment models
Using Azure DevOps Pipelines for SSIS package builds
Deploying SSIS packages using Azure services
• Testing and Validation
Implementing unit tests for BI components
Automated testing in CI/CD pipelines
Techniques for validating deployments
• DevOps Best Practices for BI
Monitoring and logging for BI solutions
Security and compliance in DevOps processes
Enhancing BI workflows with advanced DevOps practices
• Case Studies and Real-world Examples
Review of successful DevOps implementations in BI
Lessons learned from industry case studies
• Final Project and Assessment
Building a complete DevOps pipeline for a BI solution
Presenting and evaluating results
• Course Summary and Next Steps
Review key concepts and tools
Resources for continued learning in Azure DevOps and BI DevOps practices

Subjects

Conference Talks