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Duration 14 hours
Course Outline
Foundations of SQL Server Analysis Services (SSAS)
- Key Business Intelligence concepts
- The position of SSAS within the Microsoft BI ecosystem
- An analysis of SSAS architecture and its core components
- The connectivity between SSAS, SSIS, SSRS, and Power BI
Setup and Configuration of SSAS
- Installation procedures for SQL Server Analysis Services
- Setting up SSAS environments
- Navigating deployment modes:
- Multidimensional model
- Tabular model
- Administration of SSAS databases and instances
Core Concepts in BI and Data Analytics
- Insights into data warehouses and analytical frameworks
- Converting operational data into actionable business intelligence
- Structuring analytical solutions to support decision-making
- An overview of OLAP and analytical processing techniques
Data Modeling in SSAS
- Introduction to multidimensional data structures
- Construction of dimensions and measures
- Building cubes and analytical structures
- Establishing relationships between data objects
- Best practices for designing BI data models
Managing SSAS Tabular Models
- Exploring the architecture of tabular models
- Creation and management of tabular models
- Executing queries on tabular data
- Utilizing calculations and analytical expressions
- Performance optimization for tabular models
Interrogating Multidimensional Data via MDX
- Introduction to MDX (Multidimensional Expressions)
- Querying cubes and associated dimensions
- Development of calculated members and measures
- Filtering and analyzing multidimensional datasets
Advanced SSAS Capabilities
- Integration with Columnstore Index technology
- Enhancing the speed of analytical queries
- Improved synergy with SSIS
- Integration with Master Data Services (MDS)
Implementing BI Solutions via SSAS
- Deploying SSAS solutions into production environments
- Connecting SSAS models to client-side applications
- Integration with reporting and visualization platforms
- Supporting enterprise-grade BI scenarios
Diagnosis and Performance Tuning
- Monitoring the performance of SSAS
- Diagnosing frequent configuration problems
- Optimizing queries and underlying data models
- Applying best practices for SSAS administration
Practical Workshop and Course Recap
- Constructing analytical models using SSAS
- Building and querying BI solutions
- Examination of real-world SSAS implementation cases
- Recap of essential concepts and recommended next steps
Requirements
- A foundational understanding of data analysis
- Prior experience with Microsoft SQL Server
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