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Getting Started with SQL Server 2012 Cube Development

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Simon Lidberg

Written specifically for SQL Server developers, this is a great primer on Analysis Services and cube development. With lots of practical exercises and real-world scenarios, you’ll be up and running in no time.
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Book Details

ISBN 139781849689502
Paperback288 pages

About This Book

  • Learn how to develop a complete business intelligence solution using SQL Server 2012
  • Understand the difference between tabular in-memory models and OLAP cubes, and which to use where and when
  • Add advanced features such as key performance indicators (KPIs) and calculated measures to your business intelligence model
  • Understand the use of cubes in a modern business intelligence solution
  • Go from a complete beginner to a developer who can build real-world projects through the use of easy step-by-step examples

Who This Book Is For

Written for SQL Server developers who have not previously worked with Analysis Services. It is assumed that you have experience with relational databases, but no prior knowledge of cube development is required. You need SQL Server 2012 in order to follow along with the exercises in this book.

Table of Contents

Chapter 1: Self-service Business Intelligence, Creating Value from Data
Identifying common user requirements for a BI system
Creating a flexible reporting solution
Getting user value through self-service reporting
Summary
Chapter 2: Installing SSAS and Preparing for Cube Development
Understanding the BI semantic model architecture
Choosing the deployment mode
Installing Analysis Services 2012 in multidimensional mode
Starting SQL Server Data Tools for the first time
Choosing the correct project
Navigating the project environment
Hands-on steps for configuring your cube project
Summary
Chapter 3: Creating Your First Multidimensional Cube
An introduction to data warehousing
Understanding data sources
Understanding the data source view
Adding objects to the data source view
Understanding dimensions
Creating the first cube
Creating additional dimensions and adding them to the cube
Summary
Chapter 4: Deploying and Processing Cubes
Deploying objects to Analysis Services
Processing objects in Analysis Services
Partitioning cubes to speed up processing
Configuring storage modes in Analysis Services
Summary
Chapter 5: Querying Your Cube
Understanding multidimensionality
Writing MDX queries using Management Studio
Understanding the anatomy of an MDX query
Using Excel as the query tool against cubes
Connecting Excel to the FirstCube cube
Using Reporting Services together with your cube
Summary
Chapter 6: Adding Functionality to Your Cube
Adding measures
Adding dimensions to the FirstCube project
Adding calculations to cubes
Adding perspectives to simplify cube browsing
Adding translations to support global implementations
Extending the cube with custom actions
Building budget solutions using writeback
Summary
Chapter 7: Securing Your Cube Project
Understanding role-based security
Securing objects in Analysis Services
Summary
Chapter 8: Using Aggregations to Performance Optimize a Cube
Understanding cube aggregations
Adding aggregations to improve performance
Running the aggregation wizard
Adding aggregations manually
Using usage-based optimization to optimize the cube
Summary
Chapter 9: In-memory, the Future
Understanding tabular models
Installing a tabular mode instance
Creating a tabular mode project
Defining the workspace server
Connecting to the data source
Adding tables to the data model
Adding data from other data sources
Working with partitions in tabular models
Creating calculations
Specifying other types of tables and columns
KPIs
Adding hierarchies
Sorting data based on other columns
Hiding columns and tables from the end users
Creating perspectives
Adding security to your in-memory model
Optimizing the tabular model for performance
Querying tabular models
Summary
Chapter 10: Cubes in the Larger Context
Using Microsoft frontend tools to query Analysis Services
Third-party tools
Summary

What You Will Learn

  • Choose the correct model for solving your business problem
  • Set up Analysis Services and the development environment
  • Create user friendly dimensions and cubes
  • Automate cube processing and deployment
  • Query cubes using standard tools like Excel and Reporting Services
  • Add advanced functionality such as KPIs and calculations
  • Secure your business intelligence solutions
  • Performance tune your cube through the use of aggregations
  • Create tabular in-memory models
  • Understand business intelligence architecture

In Detail

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.

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