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Duration 14 hours
Course Outline
Introduction to SQL Server Analysis Services (SSAS)
- Overview of Business Intelligence concepts
- Role of SSAS within the Microsoft BI ecosystem
- Grasping the SSAS architecture and its components
- Interconnections between SSAS, SSIS, SSRS, and Power BI
Setting Up and Configuring SSAS
- Installation process for SQL Server Analysis Services
- Configuration of SSAS environments
- Explaining deployment modes:
- Multidimensional model
- Tabular model
- Administration of SSAS databases and instances
Core Concepts in Business Intelligence and Data Analytics
- Comprehending data warehouses and analytical models
- Converting operational data into actionable business insights
- Architecting analytical solutions to support decision-making
- Introduction to OLAP and analytical processing
Data Modeling in SSAS
- Overview of multidimensional data models
- Designing dimensions and measures
- Construction of cubes and analytical structures
- Establishing relationships among data objects
- Adhering to best practices for BI data models
Utilizing SSAS Tabular Models
- Understanding the architecture of tabular models
- Creation and management of tabular models
- Executing queries on tabular data
- Working with calculations and analytical expressions
- Optimization of tabular model performance
Querying Multidimensional Data via MDX
- Introduction to MDX (Multidimensional Expressions)
- Querying cubes and their dimensions
- Development of calculated members and measures
- Filtering and analyzing multidimensional data
Advanced Capabilities of SSAS
- Integration with Columnstore Index technology
- Enhancing analytical query performance
- Deepened integration with SSIS
- Overview of Master Data Services (MDS) integration
Implementation of BI Solutions with SSAS
- Deployment of SSAS solutions into production environments
- Linking SSAS models with client applications
- Integration with reporting and visualization tools
- Support for enterprise-level BI scenarios
Debugging and Performance Tuning
- Monitoring the performance of SSAS
- Diagnosing frequent configuration issues
- Optimizing queries and data models
- Applying best practices for SSAS administration
Practical Workshop and Course Recap
- Development of analytical models using SSAS
- Creation and querying of BI solutions
- Examination of real-world SSAS implementation cases
- Summary of core concepts and subsequent steps
Requirements
- A solid grasp of data analysis
- Proficiency with Microsoft SQL Server
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