Getting Started with SQL Server 2012 Cube Development


Getting Started with SQL Server 2012 Cube Development
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  • 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

Book Details

Language : English
Paperback : 288 pages [ 235mm x 191mm ]
Release Date : September 2013
ISBN : 1849689504
ISBN 13 : 9781849689502
Author(s) : Simon Lidberg
Topics and Technologies : All Books, Big Data and Business Intelligence, Enterprise, Microsoft SQL Server

Table of Contents

Preface
Chapter 1: Self-service Business Intelligence, Creating Value from Data
Chapter 2: Installing SSAS and Preparing for Cube Development
Chapter 3: Creating Your First Multidimensional Cube
Chapter 4: Deploying and Processing Cubes
Chapter 5: Querying Your Cube
Chapter 6: Adding Functionality to Your Cube
Chapter 7: Securing Your Cube Project
Chapter 8: Using Aggregations to Performance Optimize a Cube
Chapter 9: In-memory, the Future
Chapter 10: Cubes in the Larger Context
Index
    • Chapter 2: Installing SSAS and Preparing for Cube Development
      • Understanding the BI semantic model architecture
      • Choosing the deployment mode
        • Actions
        • Aggregations
        • Custom assemblies
        • Custom rollups
        • Distinct count
        • Linked objects
        • Many-to-many relationships
        • Parent-child hierarchies
        • Translations
        • Writeback
        • Tool support
      • Installing Analysis Services 2012 in multidimensional mode
        • Hands-on steps for installing Analysis Services
        • Hands-on steps for attaching the sample database
      • Starting SQL Server Data Tools for the first time
      • Choosing the correct project
        • Hands-on steps for creating your first cube project
      • Navigating the project environment
        • Solution Explorer
        • Properties window
        • Build menu
      • Hands-on steps for configuring your cube project
      • Summary
      • Chapter 3: Creating Your First Multidimensional Cube
        • An introduction to data warehousing
        • Understanding data sources
          • Creating the data connection
        • Understanding the data source view
          • Creating a new data source view
        • Adding objects to the data source view
          • Extending the data source view
        • Understanding dimensions
          • Creating the Date dimension
          • Preparing the Date dimension for end users
            • Renaming attributes
            • Creating a hierarchy and attribute relationships
            • Processing the dimension to review the results
        • Creating the first cube
          • Creating the Fact Internet Sales cube
        • Creating additional dimensions and adding them to the cube
        • Summary
        • Chapter 4: Deploying and Processing Cubes
          • Deploying objects to Analysis Services
            • Deploying the FirstCube project to the server
            • Deploying projects using advanced deployment strategies
          • Processing objects in Analysis Services
            • Processing the FirstCube project
            • Using advanced processing options when processing cubes
            • Scheduling processing
            • Building a SSIS package to control processing
            • Troubleshooting processing errors
          • Partitioning cubes to speed up processing
            • Adding partitions to the FirstCube cube
          • Configuring storage modes in Analysis Services
            • MOLAP
            • ROLAP
            • HOLAP
            • Proactive caching
            • Adding a ROLAP dimension to the FirstCube cube
          • Summary
          • Chapter 5: Querying Your Cube
            • Understanding multidimensionality
            • Writing MDX queries using Management Studio
              • Connecting to the cube using Management Studio
            • Understanding the anatomy of an MDX query
              • The FROM clause
              • The WHERE clause
              • The query axis clause
              • Important query concepts
                • Unique names
                • Finding unique names of objects
                • Tuples
                • Sets
                • Calculated members
                • Named sets
                • Functions
            • Using Excel as the query tool against cubes
            • Connecting Excel to the FirstCube cube
              • Advanced Excel features
                • Named sets
                • Calculated measures
                • Calculated members
            • Using Reporting Services together with your cube
            • Summary
            • Chapter 6: Adding Functionality to Your Cube
              • Adding measures
                • Adding additional measure groups
              • Adding dimensions to the FirstCube project
                • Adding referenced dimensions
                • Adding many-to-many dimensions
                  • Adding dimensions with parent-child hierarchies
              • Adding calculations to cubes
                • Simple calculated measures
                • Adding advanced calculated measures
                • Adding calculated members
                • Time and date calculations
                • Key Performance Indicators
              • 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
                  • Adding users to the fixed server role
                  • Adding custom roles to the database
                • Securing objects in Analysis Services
                  • Adding dimension security to the FirstCube project
                  • Securing measures
                  • Implementing data security
                  • Testing data security
                  • Enable Visual Totals to restrict what a user can see
                  • Understanding security when a user belongs to several roles
                  • Implementing dynamic data security
                • 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
                      • Adding calculated columns to the tabular model
                      • Creating calculated measures in the tabular model
                      • Creating advanced 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
                        • Developer-focused tools
                          • Using Reporting Services to query your cube
                          • SharePoint PerformancePoint Services
                        • Self-service tools
                          • Using Excel as a self-service tool against Analysis Services cubes
                          • Using Excel PowerPivot to allow user-created models
                          • SharePoint Excel Services
                          • Introducing Power View – an analytical tool
                      • Third-party tools
                      • Summary

                      Simon Lidberg

                      Simon Lidberg is a database veteran, who has worked in the Computer industry since the mid nineties. He has had roles as Consultant, Support Engineer, Escalation Engineer, and Technical Presales Specialist. In the past 15 years, he has worked with databases and ERP Systems at companies such as Digital Equipment, Compaq, and Microsoft. He has been an expert in Microsoft SQL Server since he started to work with Version 6.5 at Microsoft as a Support Engineer. Since 2006, he has worked with the Microsoft Business Intelligence stack that includes Analysis Services. Since then, he has helped numerous companies to start using Analysis Services as well as have trained hundreds of people on Microsoft BI. Simon is also a frequent speaker at conferences such as PASS SQLRally and Microsoft TechDays. He currently blogs at http://blogs.msdn.com/b/querysimon

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                      Sample chapters

                      You can view our sample chapters and prefaces of this title on PacktLib or download sample chapters in PDF format.

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                      What you will learn from this book

                      • 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.

                      Approach

                      As a practical tutorial for Analysis Services, get started with developing cubes. "Getting Started with SQL Server 2012 Cube Development" walks you through the basics, working with SSAS to build cubes and get them up and running.

                      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.

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