Book description
If you prefer the instructional approach to a lot of theory, this cookbook is for you. It takes you straight into building data cubes through hands-on recipes, helping you get to grips with SQL Server Analysis Services fast.
- Develop Business Intelligence solutions using a multi-dimensional model as well as a tabular model
- Explore cube maintenance with partitions and design effective aggregations, as well as analyzing options for scaling analytics solutions
- Includes recipes for administering, securing, monitoring, and troubleshooting Analysis Services solutions
In Detail
Microsoft SQL Server is a relational database management system. As a database, it is a software product whose primary function is to store and retrieve data as requested by other software applications. SQL Server Analysis Services adds OLAP and data mining capabilities for SQL Server databases. OLAP (online analytical processing) is a technique for analyzing business data for effective business intelligence.
This practical guide teaches you how to build business intelligence solutions using Microsoft’s core product – SQL Server Analysis Services. The book covers the traditional multi-dimensional model which has been around for over a decade as well as the tabular model introduced with SQL Server 2012.
Starting with comparing MultiDimensional and tabular models – discussing the values and limitations of each, you will then cover the essential techniques for building dimensions and cubes. Following on from this, you will be introduced to more advanced topics, such as designing partitions and aggregations, implementing security, and synchronizing databases for solutions serving many users.
The book also covers administrative material, such as database backups, server configuration options, and monitoring and tuning performance. We also provide a primer on MultiDimensional eXpressions (MDX) as well as Data Analysis expressions (DAX) languages.
This book provides you with data cube development techniques, and also the ongoing monitoring and tuning for Analysis Services.
Table of contents
-
SQL Server Analysis Services 2012 Cube Development Cookbook
- Table of Contents
- SQL Server Analysis Services 2012 Cube Development Cookbook
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Introduction to Multidimensional Data Model Design
-
2. Defining Analysis Services Dimensions
- Introduction
- Defining data sources
- Defining data source views
- Defining entity relationships in DSV
- Extending data source views
- Creating named calculations and queries
- Creating simple dimensions
- Building dimension hierarchies
- Setting essential attribute properties
- Browsing dimension data
- Sorting the attributes
- Customizing advanced attribute properties
- Creating parent-child dimensions
- Creating the date and time dimensions
-
3. Creating Analysis Services Cubes
- Introduction
- Defining measure groups and measures
- Setting measure properties
- Browsing the cube data
- Dimension usage with measure group
- Examining cube file structures
- Partitioning strategies
- Defining partition slice
- Merging partitions
- Defining aggregation designs
- Distinct count measure groups
- Enabling write-back feature
- Deployment options
- 4. Extending and Customizing Cubes
-
5. Optimizing Dimension and Cube Processing
- Introduction
- Understanding dimension processing options
- Learning about basic dimension processing
- Learning advanced dimension processing options
- Using out-of-line bindings for dimension processing
- Dealing with partition processing options
- Using SQL Server Integration Services to process Analysis Services objects
- Monitoring and tuning processing performance
- 6. MDX
- 7. Analysis Services Security
-
8. Administering and Monitoring Analysis Services
- Introduction
- SSAS instance configuration options
- Creating and dropping databases
- Monitoring SSAS instance using Activity Viewer
- Monitoring SSAS instance using DMVs
- Cancelling a session
- Checking whether cubes are accessible
- Checking SSAS object sizes programmatically
- Backup and restore
- Synchronizing databases
- Detaching and attaching databases
-
9. Using Tabular Models
- Introduction
- Creating a Tabular Model
- Working with data sources and loading data
- Modeling the data
- Creating a hierarchy
- Creating a calculated measure
- Creating a calculated column
- Creating a KPI
- Analyzing your model in Excel
- Deploying Tabular Models
- Scripting Tabular Models using XMLA
- Processing Tabular Models
- Partitioning Tabular Models
- Implementing perspectives
- Implementing security in Tabular Models
- Automating Tabular Model processing
- 10. DAX Calculations and Queries
- 11. Performance Tuning and Troubleshooting Tabular Models
- A. Miscellaneous Analysis Services Topics
- Index
Product information
- Title: SQL Server Analysis Services 2012 Cube Development Cookbook
- Author(s):
- Release date: December 2013
- Publisher(s): Packt Publishing
- ISBN: 9781849689809
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