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Duration 14 hours
Course Outline
Introduction to SQL Server Analysis Services (SSAS)
- Fundamental concepts of Business Intelligence
- The position of SSAS within the Microsoft BI ecosystem
- An examination of SSAS architecture and its core components
- The interplay between SSAS, SSIS, SSRS, and Power BI
Installing and Configuring SSAS
- Procedure for installing SQL Server Analysis Services
- Setting up SSAS environments
- Comprehending deployment modes:
- Multidimensional model
- Tabular model
- Oversight of SSAS databases and instances
Business Intelligence and Data Analytics Principles
- Concepts of data warehouses and analytical frameworks
- Converting operational data into actionable business insights
- Architecting analytical solutions to support decision-making
- An overview of OLAP and analytical processing techniques
SSAS Data Modeling
- Foundations of multidimensional data models
- Structuring dimensions and measures
- Construction of cubes and analytical structures
- Establishing relationships among data objects
- Adherence to best practices in BI data modeling
Managing SSAS Tabular Models
- Analysis of tabular model architecture
- Creation and administration of tabular models
- Techniques for querying tabular data
- Application of calculations and analytical expressions
- Strategies for enhancing tabular model performance
Querying Multidimensional Data via MDX
- Introduction to MDX (Multidimensional Expressions)
- Interrogating cubes and dimensions
- Formulating calculated members and measures
- Applying filters and analyzing multidimensional data
Advanced SSAS Capabilities
- Leveraging Columnstore Index technology
- Enhancing the speed of analytical queries
- Strengthened integration with SSIS
- Insights into Master Data Services (MDS) integration
Implementing BI Solutions with SSAS
- Rolling out SSAS solutions in production settings
- Linking SSAS models to client-side applications
- Integration with reporting and visualization platforms
- Caterring to enterprise-level BI scenarios
Troubleshooting and Performance Tuning
- Observing SSAS performance metrics
- Diagnosing frequent configuration challenges
- Refining queries and data models
- Execution of SSAS administrative best practices
Practical Workshop and Course Recap
- Construction of analytical models utilizing SSAS
- Development and interrogation of BI solutions
- Analysis of real-world SSAS deployment scenarios
- Recap of core concepts and recommended next steps
Requirements
- A solid grasp of data analysis principles
- Proficiency in working with Microsoft SQL Server
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