Data Modeling: Tabular vs. Multidimensional
Explore the fundamental choice between Tabular and Multidimensional models. Understand the performance characteristics, development paradigms, and suitability for different business scenarios. Key considerations include DAX vs. MDX, in-memory caching, and developer skill sets.
Learn More →Deployment Architecture: On-Premises vs. Cloud
Decide on the optimal deployment environment for your SSAS instance. Weigh the benefits of on-premises control against the scalability and managed services of Azure Analysis Services. Factors to consider are security, cost, maintenance overhead, and integration with other services.
Compare Options →Security Best Practices: Roles and Permissions
Implement robust security measures to protect your sensitive data. Understand how to design effective roles, manage database permissions, and secure objects at the cube, dimension, and measure levels. This section covers row-level security and authentication methods.
Implement Security →Performance Tuning: Caching and Query Optimization
Achieve optimal query performance by leveraging SSAS caching mechanisms and optimizing your DAX/MDX queries. Learn about query execution plans, partition strategies, and hardware considerations to ensure a responsive analytical experience.
Optimize Performance →Data Source Connectivity: Best Practices
Understand how to connect SSAS to various data sources, including SQL Server databases, Azure SQL Database, and other relational sources. Discuss best practices for managing credentials, optimizing data retrieval, and handling data refresh schedules.
Connect Data Sources →Scalability and High Availability
Plan for growth and ensure continuous availability of your SSAS services. Explore options for scaling out processing and query workloads, as well as strategies for implementing high availability solutions to minimize downtime.
Plan for Scale →