SSAS – SQL Server Analysis Services Course in chennai
825 Ratings
SSAS – SQL Server Analysis Services Course in Chennai
Master multidimensional data analysis, OLAP solutions, and enterprise business intelligence with Edubrights’ SSAS – SQL Server Analysis Services training in Chennai. This course is designed for students, freshers, BI developers, data analysts, SQL professionals, database administrators, and working professionals who want to build advanced analytical solutions and support data-driven decision-making.
Gain hands-on experience with SSAS cubes, tabular models, data modeling, OLAP development, business analytics, performance optimization, and real-world business intelligence projects through practical industry use cases.
Key Highlights:
✅ Real-Time Business Intelligence Projects & Analytics Use Cases
✅ Live Instructor-Led Training by Experienced Microsoft BI Experts
✅ Hands-On Practice with SQL Server Analysis Services (SSAS)
✅ OLAP Concepts, Multidimensional Modeling & Data Analysis
✅ Cube Design, Measures, Dimensions & Hierarchies Development
✅ Tabular Models & In-Memory Analytics Solutions
✅ Data Warehousing Integration & Enterprise BI Architecture
✅ Advanced Data Modeling & Business Performance Analysis
✅ MDX, DAX & Analytical Query Concepts
✅ KPI Development, Dashboards & Executive Reporting Solutions
✅ Performance Tuning & Optimization for Analytical Workloads
✅ Integration with SQL Server, SSIS, SSRS & Power BI
✅ Resume Building, Portfolio Development & Mock Interview Preparation
✅ Career Guidance, Placement Assistance & Certification Support
✅ Flexible Online, Classroom & Weekend Training Options
✅ Corporate Training for BI, Analytics & Data Management Teams
Build practical SSAS expertise, create enterprise-grade analytical solutions, and become industry-ready for careers in Business Intelligence, Data Analytics, BI Development, Data Warehousing, and Enterprise Reporting.
Call Course Advisor
₹30000
₹42000
Case Studies and Projects
2+
Hours of Training
20+
Placement Assurance
100%
Expert Support
Yes
Support & Access
Certification
Yes
Skill Level
All
Language
All
Course Objectives
1. Master OLAP and Business Intelligence Modeling
Learn how to design and build multidimensional and tabular models using SQL Server Analysis Services for enterprise data analytics and reporting.
2. Build Scalable Analytical Data Models
Develop expertise in creating cubes, dimensions, measures, hierarchies, and key performance indicators (KPIs) for high-performance analytical systems.
3. Implement Advanced Data Aggregation Techniques
Learn how to optimize data processing using aggregations, partitions, calculation scripts, and performance tuning methods for large-scale BI solutions.
4. Integrate SSAS with Reporting and Visualization Tools
Build enterprise BI solutions involving sales analytics, financial modeling, supply chain analysis, customer behavior analytics, and executive decision-making dashboards.
5. Manage Data Security and Role-Based Access
Understand how to implement cube-level security, dimension security, role-based access control, and secure enterprise analytics environments.
6. Work on Real-World Business Intelligence Projects
Build enterprise BI solutions involving sales analytics, financial modeling, supply chain analysis, customer behavior analytics, and executive decision-making dashboards.
Popular Techniques Covered in This Course
1. OLAP Cube Development
2. Tabular Model Development
3. Data Warehouse Integration
4. MDX Query Language
5. DAX Calculations & Expressions
6. Performance Optimization Techniques
7. Data Modeling Best Practices
8. Security & Role Management
9. SSAS Integration with BI Tools
10. Enterprise BI Solution Architecture
Get Hands-on Knowledge about Real-Time Projects
Project 1
1. Sales Performance Analysis Cube
Project 2
2. Financial Forecasting & Budget Analysis Model
Project 3
3. Customer Behavior Analytics Platform
Project 4
4. Supply Chain & Inventory Optimization Model
Project 5
5. HR Workforce Analytics System
Key Features
Edubrights offers SSAS – SQL Server Analysis Services Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Curriculum
Module 1: SSAS Overview & Deployment Modes
- SSAS Multidimensional vs Tabular: choosing the right model
- SSAS architecture: Analysis Services engine, XMLA, MDX/DAX
- SQL Server Data Tools: SSAS project setup
- Tabular model database and workspace server
- Multidimensional model: cubes, dimensions, and measures
- SSAS certification and Azure Analysis Services overview
Module 2: Tabular Model – Data Modelling
- Tabular model structure: tables, columns, relationships
- Power Query in SSAS: data import and transformation
- Star schema design in tabular models
- Relationship types: one-to-many, many-to-many
- Calculated columns: row context expressions
- Hiding columns and tables for clean client views
Module 3: DAX – Data Analysis Expressions
- DAX fundamentals: measures vs calculated columns
- Basic aggregation measures: SUM, AVERAGE, COUNT
- Time intelligence functions: TOTALYTD, SAMEPERIODLASTYEAR
- CALCULATE: the core filter-modifying function
- FILTER, ALL, ALLEXCEPT: filter context manipulation
- Variables: VAR for readable, efficient DAX
Module 4: Advanced DAX
- RANKX: ranking within filter context
- TOPN: top-N rows for rankings and leaderboards
- Iterator functions: SUMX, AVERAGEX, MAXX
- Parent-child hierarchies with PATH functions
- Semi-additive measures: balance and snapshot patterns
- Performance profiling DAX with DAX Studio
Module 5: Multidimensional Model
- Data Source View: relational layer for cube design
- Cube structure: measure groups and dimensions
- Dimension types: time, geography, account
- Attribute relationships: optimising dimension hierarchy
- MDX basics: SELECT, FROM, WHERE in MDX queries
- Named sets and calculated members in MDX
Module 6: KPIs, Perspectives & Translations
- KPI definition: value, goal, status, and trend expressions
- Perspectives: filtered views for different user groups
- Translations: multi-language labels for global deployments
- Partitions: segmenting large measure groups
- Aggregations: pre-calculated aggregates for query speed
- Proactive caching for near real-time MOLAP
Module 7: Processing & Security
- Processing modes: Full, Incremental, Update, Clear
- Scheduled processing with SSAS XMLA scripts
- SQL Server Agent jobs for automated processing
- Role-based security: database and cube roles
- Dimension data security: cell-level security
- Row-level security in Tabular models
Module 8: Deployment, Monitoring & Azure AS
- Deploying SSAS projects to production servers
- Backup and restore of SSAS databases
- SSAS performance monitoring: Extended Events
- Azure Analysis Services: PaaS tabular models
- Power BI Premium: XMLA endpoint for AS models
- Migration from Multidimensional to Tabular
Receive Training From Our Skilled and Effective Trainers
Our SSAS instructors are Microsoft-certified BI architects with deep expertise in both Tabular and Multidimensional modelling. They have designed SSAS cubes and tabular models powering executive dashboards, financial reporting, and operational analytics across banking, retail, and manufacturing — with advanced DAX and MDX proficiency.
You will succeed with our recognized certification
Our institution offers a recognized SSAS – SQL Server Analysis Services certification that validates your ability to design and prototype professional user interfaces efficiently. This certification enhances your design portfolio and prepares you for collaborative projects in real-world environments. Gain practical skills through hands-on training and assessments.
Course FAQs
1. Why is SSAS still used in modern business intelligence systems?
SSAS is widely used for high-performance OLAP analysis, complex calculations, enterprise-grade data modeling, and fast analytical query processing.
2. What is the difference between tabular and multidimensional models?
Tabular models use in-memory storage and DAX, while multidimensional models use OLAP cubes and MDX for complex analytical processing.
3. Do SSAS models improve report performance?
Yes. SSAS pre-aggregates data and optimizes queries, significantly improving reporting and dashboard performance in enterprise environments.
4. Can SSAS work with Power BI and modern analytics tools?
Yes. SSAS integrates seamlessly with Power BI, SSRS, Excel, and other BI tools for interactive data visualization and reporting.
5. Is coding required in SSAS development?
Yes. Basic knowledge of MDX, DAX, and SQL is required for building calculations, measures, and advanced analytical models.
6. How does SSAS handle large datasets efficiently?
SSAS uses partitioning, aggregations, in-memory processing, and optimized query execution to handle large-scale enterprise data.
7. Is real-time data analysis possible with SSAS?
Yes. With proper configuration and processing strategies, SSAS can support near real-time analytics and reporting systems.
8. What industries commonly use SSAS?
SSAS is widely used in finance, banking, retail, healthcare, telecom, manufacturing, and enterprise data analytics environments.
9. Can SSAS be used without a data warehouse?
Technically yes, but best practices recommend using a structured data warehouse for better performance, scalability, and maintainability.
10. What is the role of MDX in SSAS?
MDX is used for querying multidimensional cubes, enabling advanced slicing, dicing, filtering, and analytical computations.
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