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Duration 14 hours
Course Outline
Introduction to SQL Server Analysis Services (SSAS)
- Fundamentals of Business Intelligence concepts
- The role of SSAS within the Microsoft BI ecosystem
- Examining SSAS architecture and core components
- The connection between SSAS, SSIS, SSRS, and Power BI
Installation and Configuration of SSAS
- Setting up SQL Server Analysis Services
- Configuring the SSAS environment
- Exploring deployment modes:
- Multidimensional model
- Tabular model
- Administration of SSAS databases and instances
Concepts in Business Intelligence and Data Analytics
- Analyzing data warehouses and analytical models
- Converting operational data into strategic business insights
- Developing analytical solutions to support decision-making
- An overview of OLAP and analytical processing techniques
Data Modeling with SSAS
- Introduction to multidimensional data models
- Designing dimensions and measures
- Constructing cubes and analytical structures
- Establishing relationships between data objects
- Implementing best practices for BI data models
Utilizing SSAS Tabular Models
- Comprehending tabular model architecture
- Creation and management of tabular models
- Querying tabular data structures
- Handling calculations and analytical expressions
- Enhancing the performance of tabular models
Querying Multidimensional Data with MDX
- Basics of MDX (Multidimensional Expressions)
- Querying cubes and dimensions
- Developing calculated members and measures
- Filtering and analyzing multidimensional data
Advanced Features of SSAS
- Implementation of Columnstore Index technology
- Improving the speed of analytical queries
- Advanced integration workflows with SSIS
- Introduction to Master Data Services (MDS) integration
Deployment of BI Solutions with SSAS
- Rolling out SSAS solutions to production environments
- Connecting SSAS models with client-side applications
- Integration with reporting and visualization tools
- Supporting complex enterprise BI scenarios
Troubleshooting and Performance Optimization
- Monitoring the performance of SSAS
- Identifying and resolving common configuration issues
- Optimizing queries and data models for efficiency
- Adhering to SSAS administration best practices
Practical Workshop and Course Summary
- Constructing analytical models using SSAS
- Building and querying BI solutions
- Reviewing real-world SSAS implementation cases
- Recap of key concepts and recommended next steps
Requirements
- Familiarity with data analysis concepts
- Practical experience with Microsoft SQL Server
Testimonials (1)
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