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Duration 14 hours
Course Outline
Introduction to SQL Server Analysis Services (SSAS)
- Core concepts of Business Intelligence
- The position of SSAS within the Microsoft BI framework
- Key components and architecture of SSAS
- Interactions between SSAS, SSIS, SSRS, and Power BI
Installation and Configuration of SSAS
- Setting up SQL Server Analysis Services
- Tuning SSAS environments
- Exploring deployment modes:
- Multidimensional modeling
- Tabular modeling
- Administration of SSAS databases and instances
BI and Data Analytics Fundamentals
- Analysis of data warehouses and analytical structures
- Converting operational data into strategic insights
- Architecting analytical solutions for effective decision-making
- Insights into OLAP and analytical processing
SSAS Data Modeling
- Basics of multidimensional data models
- Construction of dimensions and measures
- Building cubes and analytical frameworks
- Establishing connections between data objects
- Best practices for designing BI data models
Managing SSAS Tabular Models
- Architectural details of tabular models
- Creation and management of tabular structures
- Querying tabular datasets
- Utilizing calculations and analytical expressions
- Performance optimization for tabular models
Querying Multidimensional Data via MDX
- Introduction to MDX (Multidimensional Expressions)
- Interrogating cubes and dimensions
- Development of calculated members and measures
- Filtering and analyzing multidimensional datasets
Advanced SSAS Capabilities
- Leveraging Columnstore Index technology
- Enhancing the performance of analytical queries
- Improved integration with SSIS
- Integration with Master Data Services (MDS)
Deploying BI Solutions with SSAS
- Rolling out SSAS solutions in production settings
- Linking SSAS models to client applications
- Integration with reporting and visualization platforms
- Support for enterprise-level BI scenarios
Troubleshooting and Performance Tuning
- Monitoring SSAS health and performance
- Diagnosing common configuration challenges
- Optimizing queries and data models
- Implementing SSAS administration best practices
Practical Workshop and Course Recap
- Construction of analytical models using SSAS
- Development and querying of BI solutions
- Analysis of real-world SSAS implementation cases
- Recap of core concepts and recommended next steps
Requirements
- Familiarity with data analysis principles
- Practical experience with Microsoft SQL Server
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