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  • Book Overview & Buying Getting Started with SQL Server 2012 Cube Development
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Getting Started with SQL Server 2012 Cube Development

Getting Started with SQL Server 2012 Cube Development

By : Simon Lidberg
4.2 (11)
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Getting Started with SQL Server 2012 Cube Development

Getting Started with SQL Server 2012 Cube Development

4.2 (11)
By: Simon Lidberg
Buy this Book

Overview of this book

Analysis Services have been the number one OLAP engine for years. With the increased focus on business intelligence solutions, there is a shortage of professionals in this area. Start your journey into becoming a BI developer using the popular tools included in every SQL Server installation. Getting Started with SQL Server 2012 Cube Development teaches you through clear step-by-step exercises to create business intelligence solutions using Analysis Services. The knowledge gained through these practical examples can immediately be applied to your real-world problems. Getting Started with SQL Server 2012 Cube Development begins with an introduction to business intelligence and Analysis Services, the world's most-used cube engine. Guiding you through easy-to-understand examples to become a cube developer. Learn how to create a cube including all the advanced features such as KPIs, calculated measures, and time intelligence. Security and performance tuning will also be explored. You will learn how to perform and automate core tasks like deployment and processing. The main focus is on multidimensional cubes, but the creation of in-memory models will also be covered. You will learn everything you need to get started with cube development using SQL Server 2012.
Table of Contents (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Self-service Business Intelligence, Creating Value from Data
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1. Self-service Business Intelligence, Creating Value from Data
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Identifying common user requirements for a BI system
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Creating a flexible reporting solution
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Getting user value through self-service reporting
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Summary
2
2. Installing SSAS and Preparing for Cube Development
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2. Installing SSAS and Preparing for Cube Development
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Understanding the BI semantic model architecture
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Choosing the deployment mode
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Installing Analysis Services 2012 in multidimensional mode
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Starting SQL Server Data Tools for the first time
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Choosing the correct project
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Navigating the project environment
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Hands-on steps for configuring your cube project
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Summary
3
3. Creating Your First Multidimensional Cube
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3. Creating Your First Multidimensional Cube
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An introduction to data warehousing
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Understanding data sources
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Understanding the data source view
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Adding objects to the data source view
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Understanding dimensions
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Creating the first cube
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Creating additional dimensions and adding them to the cube
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Summary
4
4. Deploying and Processing Cubes
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4. Deploying and Processing Cubes
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Deploying objects to Analysis Services
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Processing objects in Analysis Services
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Partitioning cubes to speed up processing
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Configuring storage modes in Analysis Services
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Summary
5
5. Querying Your Cube
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5. Querying Your Cube
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Understanding multidimensionality
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Writing MDX queries using Management Studio
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Understanding the anatomy of an MDX query
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Using Excel as the query tool against cubes
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Connecting Excel to the FirstCube cube
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Using Reporting Services together with your cube
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Summary
6
6. Adding Functionality to Your Cube
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6. Adding Functionality to Your Cube
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Adding measures
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Adding dimensions to the FirstCube project
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Adding calculations to cubes
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Adding perspectives to simplify cube browsing
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Adding translations to support global implementations
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Extending the cube with custom actions
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Building budget solutions using writeback
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Summary
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7. Securing Your Cube Project
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7. Securing Your Cube Project
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Understanding role-based security
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Securing objects in Analysis Services
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Summary
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8. Using Aggregations to Performance Optimize a Cube
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8. Using Aggregations to Performance Optimize a Cube
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Understanding cube aggregations
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Adding aggregations to improve performance
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Running the aggregation wizard
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Adding aggregations manually
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Using usage-based optimization to optimize the cube
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Summary
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9. In-memory, the Future
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9. In-memory, the Future
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Understanding tabular models
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Installing a tabular mode instance
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Creating a tabular mode project
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Defining the workspace server
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Connecting to the data source
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Adding tables to the data model
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Adding data from other data sources
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Working with partitions in tabular models
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Creating calculations
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Specifying other types of tables and columns
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KPIs
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Adding hierarchies
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Sorting data based on other columns
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Hiding columns and tables from the end users
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Creating perspectives
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Adding security to your in-memory model
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Optimizing the tabular model for performance
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Querying tabular models
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Summary
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10. Cubes in the Larger Context
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10. Cubes in the Larger Context
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Using Microsoft frontend tools to query Analysis Services
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Third-party tools
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Summary
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Index
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Index

Adding measures

Measures are crucial when building Analysis Services cubes. They are quantifiable values usually tied to a column in a fact table. The most common method of defining measures is to use aggregate functions such as sum, min, max, distinct count, and count on a numeric column. A measure can also be defined using an expression that calculates values using an MDX statement—this is called calculated measures.

The fact table that has been used throughout this book called FactInternetSales contains several columns that describe different facts about an individual transaction. So far in this book you have worked with the Sales Amount measure that describes the sales amount for an individual order row. The FactInternetSales table also contains information about the order quantity, the price, the discount amount, and other measures that are included in the transaction. These columns are interesting when analyzing the sales information; all we need to do is to add them to our...

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Getting Started with SQL Server 2012 Cube Development
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