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Private Onsite | 4 Days Classroom

Accelerated SQL Server 2012 Analysis Services.

Design, develop, and deploy effective analytical solution that are both scalable and secure using SQL Server 2012 Analytics Services (SSAS).

Main Benefits

Create effective SSAS solutions complete with calculations, actions, aggregations, and more.

Successfully manage and deploy SSAS solutions in a development/test/production environment.

Describe the process of building a business intelligence solution and identify where and how SSAS fits into the process.

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Design SSAS solutions that are both scalable and secure.

Upcoming Dates

There are no scheduled classes for this course at the moment. Please, send us an information request to find out more.

Course Delivery Options

Private Onsite.

The course will take place in your company’s facilities. We limit attendance to no more than 20 students in order to maintain a good level of interactivity.
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4 Days Classroom.

The course will take place in a classroom with no more than 20 students in order to maintain a good level of interactivity.

View outline

Pre-requisites

Basic experience with data warehouse solutions
A basic understanding of relational design and theory is helpful, as is basic familiarity with Structured Query Language (SQL).
No prior experience with any version of SQL Server Analysis Services is required.

After this Course

During the Analysis Services course, you will learn to design, develop, and deploy an analytical solution using SQL Server 2012 Analysis Services (SSAS). This course demonstrates design and development best practices as you build a fully working analytical solution.
SQL Server 2012 Analysis Services (SSAS) enables IT Professionals to rapidly build and deploy powerful analytical solutions that enable business users to analyze business data and achieve competitive advantage. SSAS enables rapid application development, increases performance and functionality, and reduces the costs and complexity of operation. The Analysis Services course focuses on teaching IT professionals the skills and best practices required to design and develop a well performing and successful analytical solution using SQL Server 2012 Analysis Services.
”Thank you very much, Dr. Tabladillo! It was a pleasure to participate in your workshop!”

Course Outline

Module 0: Logical Query Processing
  • Introductions, course hours, and facilities information
    • Module 1: Introduction to BI Applications
  • The process of creating a BI application
  • The components of a BI application
  • Extraction, transformation, and loading (ETL) processes
  • Relational data warehouse (RDW)
  • Business Intelligence Semantic Model (BISM) solutions, such as cubes and tabular solutions
  • Delivery and maintenance processes
    • Module 2: Dimensional modeling
  • Terminology review
  • Basic concepts
  • Dimension tables
  • Fact tables
  • Star and snowflake schemas
  • Other considerations
    • Module 3: Creating a BISM End-to-End: Undestanding the Process
  • SQL Server Data Tools for BI development
  • The SSAS development process
  • Define data sources
  • Develop the model (multidimensional vs. tabular)
  • Deployment and processing
  • Maintenance
    • Module 4: Multidimensional Model: Creating Dimensions and Cubes
  • Data source views
    Lab 04 A: Working with Data Source Views

  • Dimensions
  • Extended dimensionsLab 04 C: Extending Dimensions
    Lab 04 B: Working with Dimensions

  • Building cubes
  • Relationships between measure groups and dimensionsLab 04
  • E: Working with Measure Groups and Dimensions
    Lab 04 D: Building Cubes
    • Module 5: Multidimensional Model: Advanced Features
  • MDX
  • Calculated members
  • Named sets
  • Scoped assignments
  • Key Performance Indicators (KPIs)
    Lab 05 A: Calculations and KPIs

  • Actions
  • Perspectives
  • Translations

    Lab 05 B: Actions and Perspectives

    Lab 05 C: Translations

    • Module 6: Tabular Model: Building Models
  • Models
  • Tables
  • Calculated columns
  • Calculated measures

    Lab 06: Getting Started with SSAS Tabular Models

    • Module 7: Tabular Model: Advanced Features
  • Hierarchies
  • DAX and calculated members
  • Key Performance Indicators
  • Perspectives
  • Reporting properties for enhanced end-user experience

    Lab 07 A: Hierarchies, Calculations and KPIs

    Lab 07 B: Perspectives and Visualization Options

    • Module 8: Storage Modes, Aggregation Designs, and Proactive Caching
  • Storage modes
  • Storage modes for the multidimensional model
  • Storage modes for the tabular model
  • Partitions
  • Aggregation designs
  • Proactive caching

    Lab 08 A: Aggregations and Partitions

    Lab 08 B: Partitions in the Tabular Model

    • Module 9: Security
  • SSAS security architecture
  • Defining administrative access roles
  • Defining user access roles
  • Sections specific to the multidimensional model
  • ASPE
  • Custom security

    Lab 09 A: Security in Multidimensional Models

    Lab 09 B: Security in Tabular Models

    • Module 10: Scalability and Performance
  • Optimizing many-to-many dimensions
  • Server properties
  • Tools for monitoring performance
  • Formula engine (FE) vs storage engine (SE)
  • Reading queries in SQL Server Profiler

    Lab 10: Query Troubleshooting

    • Module 11: Basic Maintenance and administration
  • Processing
  • SQL Server Management Studio
  • Backup and restore
  • Synchronization
  • Deployment
  • Lab 11 A: Backing Up, Restoring, and Deploying SSAS Databases (Multidimensional Model)

    Lab 11 B: Deploying SSAS Databases (Tabular Model)

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