cover for Microsoft SQL Server 2012 Analysis Services The BISM Tabular ModelWe’re happy to announce the availability of Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model, by Marco Russo, Chris Webb, and Alberto Ferrari. As one Amazon reviewer put it, “Marco, Chris, and Alberto are familiar names synonymous with deep expertise and understanding of the product and how to best use it. This book adds another volume to their collective library of knowledge sharing on this topic they know perhaps better than anyone else.”

In this book, you’ll explore how to load tabular data from a large variety of sources and how to analyze that tabular data using DAX (Data Analysis eXpressions—the native language of the Tabular model and also PowerPivot) and the BI Semantic Model (BISM) in Microsoft SQL Server 2012 Analysis Services—and discover a simpler method for creating corporate-level BI solutions. You’ll see how the tabular model’s in-memory database enables rapid analytics. The authors explore ways to build, deploy, query, interface with, and optimize BISM tabular models with hands-on explanations and examples, and they discuss best practices for doing so.

You can view the complete table of contents below, and you can read a sample chapter (Chapter 8, “Understanding Time Intelligence in DAX”) here: https://www.microsoftpressstore.com/articles/article.aspx?p=2225059

You can purchase the book at The Microsoft Press Store.

Chapter 1 — Introducing the Tabular Model

The Microsoft BI Ecosystem
Analysis Services 2012 Architecture: One Product, Two Models
Choosing the Right Model for Your Project
Summary

Chapter 2 — Getting Started with the Tabular Model

Setting Up a Development Environment
Working with SQL Server Data Tools
Building a Simple Tabular Model
Querying a Tabular Model in Excel
Querying a Tabular Model in Power View
Working with SQL Server Management Studio
Summary

Chapter 3 — Loading Data Inside Tabular

Understanding Data Sources
Understanding Impersonation
Understanding Server-Side and Client-Side Credentials
Working with Big Tables
Loading from SQL Server
Opening Existing Connections
Loading from Access
Loading from Analysis Services
Loading from an Excel File
Loading from a Text File
Loading from the Clipboard
Loading from a Reporting Services Report
Loading from a Data Feed
Loading from SharePoint
Loading from the Windows Azure DataMarket
Choosing the Right Data-Loading Method
Understanding Why Sorting Data Is Important
Summary

Chapter 4 — DAX Basics

Understanding Calculation in DAX
Understanding Calculated Columns and Measures
Calculated Columns
Measures
Handling Errors in DAX Expressions
Common DAX Functions
Using Basic DAX Functions
Summary

Chapter 5 — Understanding Evaluation Context

Evaluation Context in a Single Table
Understanding the EARLIER Function
Understanding Evaluation Context in Multiple Tables
Summary

Chapter 6 — Querying Tabular

Tools for Querying Tabular
DAX Query Syntax
Using CALCULATETABLE and FILTER
Using ADDCOLUMNS
Using SUMMARIZE
Using CROSSJOIN, GENERATE, and GENERATEALL
Using ROW
Using CONTAINS
Using LOOKUPVALUE
Defining Measures Inside a Query
Parameters in DAX Query
Querying by Using MDX
Choosing Between DAX and MDX
Summary

Chapter 7 — DAX Advanced

Understanding CALCULATE and CALCULATETABLE Functions
Control Filters and Selections
Sorting Functions
Statistical Functions
Summary

Chapter 8 — Understanding Time Intelligence in DAX

Tabular Modeling with Date Table
Time Intelligence Functions in DAX
Summary

Chapter 9 — Understanding xVelocity and DirectQuery

Tabular Model Architecture in Analysis Services 2012
In-Memory Mode and xVelocity
Using DirectQuery and Hybrid Modes
Summary

Chapter 10 — Building Hierarchies

Basic Hierarchies
Parent/Child Hierarchies
Summary

Chapter 11 — Data Modeling in Tabular

Understanding Different Data Modeling Techniques
Working with Dimensional Models
Computing Weighted Aggregations
Understanding Circular Dependencies
Understanding the Power of Calculated Columns: ABC Analysis
Modeling with DirectQuery Enabled
Using Views to Decouple from the Database
Summary

Chapter 12 — Using Advanced Tabular Relationships

Using Multicolumn Relationships
Banding in Tabular
Using Many-to-Many Relationships
Implementing Basket Analysis
Querying Data Models with Advanced Relationships
Implementing Currency Conversion
Summary

Chapter 13 — The Tabular Presentation Layer

Naming, Sorting, and Formatting
Perspectives
Power View–Related Properties
Drillthrough
KPIs
Summary

Chapter 14 — Tabular and PowerPivot

PowerPivot for Microsoft Excel 2010
PowerPivot for Microsoft SharePoint
Using the Right Tool for the Job
Prototyping in PowerPivot, Deploying with Tabular
Summary

Chapter 15 — Security

Roles
Administrative Security
Data Security
Dynamic Security
Advanced Authentication Scenarios
Monitoring Security
Summary

Chapter 16 — Interfacing with Tabular

Understanding Different Tabular Interfaces
Understanding Tabular vs. Multidimensional Conversion
Using AMO from .NET
Writing a Complete AMO Application
Performing Common Operations in AMO with .NET
Using AMO with PowerShell
Using XMLA Commands
CSDL Extensions
Summary

Chapter 17 — Tabular Deployment

Sizing the Server Correctly
Automating Deployment to a Production Server
Table Partitioning
Processing Options
Processing Automation
DirectQuery Deployment
Summary

Chapter 18 — Optimizations and Monitoring

Finding the Analysis Services Process
Understanding Memory Configuration
Using Memory-Related Performance Counters
Understanding Query Plans
Common Optimization Techniques
Monitoring MDX Queries
Monitoring DirectQuery
Gathering Information by Using Dynamic Management Views
Summary

Appendix — DAX Functions Reference

Statistical Functions
Table Transformation Functions
Logical Functions
Information Functions
Mathematical Functions
Text Functions
Date and Time Functions
Filter and Value Functions
Time Intelligence Functions