Azure Analysis Services - An Important Step for BI in the Cloud

Overview

Explore Azure Analysis Services for cloud-based BI, its advantages over on-premise solutions, and its role in enhancing corporate data architecture and decision-making capabilities.

Syllabus

• Introduction to Business Intelligence (BI)
Definition and importance of BI
Overview of cloud-based BI solutions
• Introduction to Azure Analysis Services
What is Azure Analysis Services?
Key features and capabilities
• Advantages of Cloud-based BI over On-premise Solutions
Scalability and flexibility
Cost-effectiveness
Accessibility and collaboration
• Setting Up Azure Analysis Services
Creating and managing an Azure Analysis Services instance
Integration with other Azure services
• Data Modeling in Azure Analysis Services
Introduction to data models and dimensions
Creating and managing tabular models
• Enhancing Corporate Data Architecture
Integrating Azure Analysis Services with existing data infrastructure
Best practices for data architecture using Azure
• Connecting and Querying Data
Using SQL Server Data Tools (SSDT) for data integration
Querying data with DAX and MDX languages
• Role in Decision-making Capabilities
Improving data-driven decision-making processes
Case studies and real-world applications
• Security and Compliance
Implementing secure practices in Azure Analysis Services
Understanding compliance standards and data governance
• Performance Optimization and Management
Monitoring performance and usage
Optimizing data models for efficiency
• Future Trends and Developments in Cloud BI
Upcoming features and updates in Azure Analysis Services
Emerging technologies and their impact on BI
• Course Review and Conclusion
Recap of key learning points
Final project and assessments
• Additional Resources
Recommended readings and tutorials
Online communities and support channels

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Subjects

Conference Talks