Microsoft SQL Server Analysis Services Demystified – Packt Publishing

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Microsoft SQL Server Analysis Services Demystified

Embark on the exciting journey of test automation, execution, and reporting in Test Studio with this practical tutorial

Embark on the exciting journey of test automation, execution, and reporting in Test Studio with this practical tutorial

About This Video

Learn how to make the correct design choice between multidimensional and tabular models according to your project requirements

Learn the key implementation features of Analysis Services cubes and how to visualize data

An essential two hour course to get you familiar and productive with the basics of data analysis

In Detail

Microsoft SQL Server is an enterprise database server with a multitude of technologies within it. SQL Server 2012 Analysis Services is one of those technologies that empowers users to analyze business data quickly and easily. However, designing cubes in Analysis Services can be a complex task: it’s all too easy to make mistakes early on in development that lead to serious problems when the cube is in production. Learning the best practices for cube design before you start your project will help you avoid these problems and ensure that your project is a success.

This practical video course teaches you how to make design decisions, manage multidimensional and tabular models, and finally visualize data to successfully deliver a business intelligence project.

Microsoft SQL Server Analysis Services Demystified gives viewers an insight into the best practices for designing and building Microsoft Analysis Services 2012 cubes.

Packed with real world tasks, this video course starts by helping you make design decisions, recognizing that this maximizes the successful delivery of a business intelligence project. You then get a walkthrough of the key concepts and terms that are common to both the multidimensional and tabular models of Analysis Services. Next, you will move onto key technical implementations of Analysis Services cubes, such as hierarchies, natural and unnatural relationships, and essential MDX expressions. Finally, you will learn about visualizing the data in DAX and MDX in order to expose the data accurately using Excel, Reporting Services, and Power View.

This video course is an invaluable tutorial for anyone who is planning to use Microsoft Analysis Services 2012 in a business intelligence project.

Course Curriculum

SQL Server Analysis Prerequisites

• Analysis Services Architecture (3:12)
• Dimensional Modeling Concepts (3:10)
• Business needs That Are Best Served by Analysis Services (3:13)
• SQL Server Management Studio (3:20)
• Understanding SQL Server Data Tools (3:20)

Tabular Modeling

• What Is a Tabular Model? (4:27)
• Key Glossary of Terms for Tabular Models (4:22)
• Relationships within a Tabular Model (3:12)
• Introduction to DAX (3:10)
• Calculated Columns versus Calculated Measures (3:04)

Tabular Modeling for Analysis

• Creating Calculated Columns (3:13)
• Creating a Calculated Measure (3:15)
• Creating KPIs (3:05)
• Creating Partitions (5:29)
• Creating Hierarchies (4:33)

Tabular Modeling Management

• Create Tabular Model Partitions and Hierarchies (3:08)
• Most Commonly Used DAX Expressions (3:03)
• Tabular Model Deployment – Cached Mode (3:10)
• Tabular Model Deployment – Production Mode (4:01)
• Tabular Model Backups (3:28)

Multidimensional Modeling

• Multidimensional Models and Their Best Uses (3:08)
• Multidimensional Model Types (2:53)
• Introduction to MDX (3:07)
• Advanced Use Cases of MDX (3:34)
• MDX versus DAX (3:26)

Multidimensional Modeling for Analysis

• Creating Multidimensional Model Dimensions (3:55)
• Creating Multidimensional Model Calculations (3:19)
• Creating Multidimensional Model Key Performance Indicators (3:11)
• Creating Multidimensional Attributes (3:32)
• Creating Multidimensional Model Partitions (3:40)

Multidimensional Model Management

• Multidimensional Measure Groups (3:31)
• Most Commonly Used MDX Expressions (3:15)
• Multidimensional Aggregation Designs (3:40)
• Multidimensional Model Process Options (3:55)
• Multidimensional Model Deployment Options (3:21)

Visualizing Your Analysis Services Data

• Visualizing Tabular Model Data with Power View (3:09)
• Visualizing Multidimensional Model Data with SSRS (3:04)
• Using Excel to Expose Your Tabular Data (3:50)
• Using Excel to Expose Your Multidimensional Data (3:34)
• Data Visualization Principles (2:59)