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Curriculum Designed by Experts

Multisoft Virtual Academy brings you a power-packed Data Mastery with SSAS and MS SQL Server 2022 Corporate Training program designed to equip your team with cutting-edge skills in data analysis, modeling, and reporting. This course offers hands-on training on Microsoft SQL Server 2022 and SQL Server Analysis Services (SSAS), focusing on OLAP, data cubes, data warehousing, and business intelligence strategies. Delivered by industry experts, the training is tailored to meet your organization’s data goals. Whether you're upgrading existing skills or building data-driven teams, our flexible and interactive sessions ensure measurable results and real-time productivity gains.
Data Mastery with SSAS and MS SQL Server 2022 Training is a specialized course covering SQL Server Analysis Services (SSAS), data modeling, cube development, and BI analytics. Learn to create OLAP cubes, optimize queries, and manage enterprise data efficiently. This training enhances data-driven decision-making skills for BI developers, data analysts, and SQL professionals.
- Overview of Business Intelligence and Data Models
- Modern BI Trends: Self-Service BI, Cloud Analytics, AI/ML Integration
- Microsoft Business Intelligence Platform: SSAS, Power BI, Azure

- Concepts of Data Warehousing
- Modern Data Warehousing Approaches: Cloud Data Warehouses
- Introduction to Online Analytical Processing (OLAP)
- Differences between OLAP and OLTP
- In-Memory OLAP: Tabular Models

- Installation and Configuration: Multidimensional vs. Tabular Mode
- Understanding SSAS Architecture
- Overview of SSAS Tools: SSMS, SSDT, PowerShell

- Introduction to Multidimensional Analysis
- Comparison with Tabular Models
- Data Sources and Data Source Views
- Steps to Create a Multidimensional Database

- What is a Cube?
- Steps to Create a Cube
- Best Practices for Cube Design: Partitioning, Aggregations
- Managing and Maintaining Cubes

- Configuring Dimensions: Role-Playing Dimensions
- Defining Attribute Hierarchies
- Implementing Sorting and Grouping for Attributes
- Slowly Changing Dimensions: Type 1, Type 2, Type 3
- Working with Measures: Calculated Measures
- Working with Measure Groups

- Processing Options: Parallel Processing
- Deploying Models: On-Premises vs. Azure Analysis Services
- Incremental Processing

- MDX Fundamentals
- Adding Calculations to a Cube
- Using MDX to Query a Cube
- Introduction to DAX (Data Analysis Expressions)
- Advanced DAX Concepts: Time Intelligence, Row Context vs. Filter Context
- Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

- Monitoring and Tuning Performance: SQL Server Profiler, Extended Events
- Using Aggregations
- Partitioning Strategies for Large Datasets
- Best Practices for Performance

- Implementing Security in SSAS: Row-Level Security
- Managing Roles and Permissions
- Backup and Restore Strategies: Cloud-Based Backup Options

- Advanced MDX and DAX Queries: Practical Examples
- Real-Time Data Analysis with SSAS: DirectQuery Mode
- Integration with Other BI Tools: Power BI, Excel, Tableau

- Introduction to Tabular Models
- Creating and Managing Tabular Models
- Differences between Multidimensional and Tabular Models
- When to Use Tabular vs. Multidimensional

- Azure Analysis Services Overview
- Advantages of Cloud-Based SSAS
- Data Refresh Strategies: Incremental Refreshes

- Common Issues and Resolutions
- Debugging and Logging in SSAS

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Free Data Mastery with SSAS and MS SQL Server 2022 Corporate Training Assessment
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Data Mastery with SSAS and MS SQL Server 2022 Corporate Training Certification
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