SQL Server 2012 Analysis Services - SolidQ Training …

1 1 SQL Server 2012 Analysis Services 4 Days BI-ASACL12-301-EN Description During this 4-day 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. This 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 . Target Audience This course is intended for IT Professionals that are responsible for designing, developing, and deploying business intelligence solutions.

2 The target audience for this course is database warehouse, decision support, and business intelligence solution architects, IT professionals, and business intelligence developers who want to learn the details of how to use the new capabilities provided by SSAS to build analytical applications. Prerequisites While this course is targeted at database professionals with some experience with data warehouse solutions, this workshop requires no prior experience with any version of SQL Server Analysis Services . A basic understanding of relational design and theory is helpful, as is basic familiarity with Structured Query Language (SQL). Course Objectives Upon completion of this course, the student will be able to: Describe the process of building a business intelligence solution and identify where and how SSAS fits into the process. 2 Create effective SSAS solutions complete with calculations, actions, aggregations, and more. Design SSAS solutions that are both scalable and secure.

3 Successfully manage and deploy SSAS solutions in a development/test/production environment. To accomplish that, BISM tabular and multidimensional models will be covered across the whole course. Course Summary Outline Section A: BI Solutions Overview Module 00: Housekeeping Introductions, course hours, and facilities information Module 01: Introduction to BI Applications The process of creating a BI application The components of a BI application o Extraction, transformation, and loading (ETL) processes o Relational data warehouse (RDW) o Business Intelligence Semantic Model (BISM) solutions, such as cubes and tabular solutions o Delivery and maintenance processes Module 02: Dimensional Modeling Terminology review Basic concepts Dimension tables Fact tables Star and snowflake schemas Other considerations 3 Section B: SSAS Core Design Elements Module 03: Creating a BISM End-to-End: Understanding the Process SQL Server Data Tools for BI development The SSAS development process o Define data sources o Develop the model (multidimensional vs.)

4 Tabular) o Deployment and processing o Maintenance Module 04: Multidimensional Model: Creating Dimensions and Cubes Data source views Lab 04 A: Working with Data Source Views Dimensions Extended dimensions Lab 04 B: Working with Dimensions Lab 04 C: Extending Dimensions Building cubes Relationships between measure groups and dimensions Lab 04 D: Building Cubes Lab 04 E: Working with Measure Groups and Dimensions Module 05: 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 4 Module 06: Tabular Model: Building Models Models Tables Calculated columns Calculated measures Lab 06: Getting Started with SSAS Tabular Models Module 07: 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 Section C: Completing the SSAS solution to be properly managed Module 08: Storage Modes, Aggregation Designs, and Proactive Caching Storage modes o Storage modes for the multidimensional model o 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 5 Module 9: Security SSAS security architecture Defining administrative access roles Defining user access roles Sections specific to the multidimensional model o ASPE o Custom security Lab 09 A: Security in Multidimensional Models Lab 09 B: Security in Tabular Models Module 10.

5 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)