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Course Outline
Foundations of SQL Server Analysis Services (SSAS)
- Introduction to core Business Intelligence concepts
- The strategic role of SSAS within the Microsoft BI landscape
- An examination of SSAS architecture and key components
- Mapping the relationships between SSAS, SSIS, SSRS, and Power BI
Installation and Configuration of SSAS
- Procedures for installing SQL Server Analysis Services
- Setting up and configuring SSAS environments
- Exploring deployment modes:
- Multidimensional modeling
- Tabular modeling
- Administration of SSAS databases and instances
Core Concepts in BI and Data Analytics
- Deep dive into data warehouses and analytical structures
- Converting operational data into actionable business intelligence
- Formulating analytical frameworks to support decision-making
- Introduction to OLAP and analytical processing techniques
Data Modeling in SSAS
- Foundations of multidimensional data models
- Structuring dimensions and defining measures
- Construction of cubes and analytical structures
- Establishing logical relationships between data objects
- Implementing best practices for BI data architecture
Utilizing SSAS Tabular Models
- Understanding the underlying tabular model architecture
- Creating and maintaining tabular models
- Executing queries on tabular data
- Leveraging calculations and analytical expressions
- Strategies for optimizing tabular model performance
Querying Multidimensional Data via MDX
- Introduction to MDX (Multidimensional Expressions)
- Techniques for querying cubes and navigating dimensions
- Development of calculated members and measures
- Advanced filtering and analysis of multidimensional datasets
Advanced SSAS Capabilities
- Integration with Columnstore Index technology
- Enhancing the speed of analytical queries
- Advanced integration workflows with SSIS
- Overview of Master Data Services (MDS) integration
Implementing BI Solutions with SSAS
- Deploying SSAS models to production environments
- Establishing connections between SSAS models and client applications
- Seamless integration with reporting and visualization platforms
- Addressing enterprise-level BI requirements
Troubleshooting and Performance Tuning
- Monitoring and tracking SSAS performance metrics
- Diagnosis and resolution of common configuration errors
- Refining queries and data models for optimal speed
- Adherence to SSAS administration best practices
Hands-on Workshop and Course Recap
- Construction of practical analytical models using SSAS
- Creation and testing of BI solutions
- Analysis of real-world SSAS implementation cases
- Recap of critical concepts and recommendations for future learning
Requirements
- A foundational understanding of data analysis principles
- Hands-on experience with Microsoft SQL Server
14 Hours
Testimonials (1)
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