Book description
Expert tabular modeling techniques for building and deploying cuttingedge business analytical reporting solutions
About This Book
 Build and deploy Tabular Model projects from relational data sources
 Leverage DAX and create highperforming calculated fields and measures
 Create adhoc reports based on a Tabular Model solution
 Useful tips to monitor and optimize your tabular solutions
Who This Book Is For
This book is for SQL BI professionals and Architects who want to exploit the full power of the new Tabular models in Analysis Services. Some knowledge of previous versions of Analysis services would be helpful but is not essential.
What You Will Learn
 Learn all about Tabular services mode and how it speeds up development
 Build solutions using sample datasets
 Explore builtin actions and transitions in SSAS 2016
 Implement rowcolumn, and rolebased security in a Tabular Data model
 Realize the benefits of inmemory and DirectQuery deployment modes
 Get up to date with the new features added to SQL Server 2016 Analysis Services
 Optimize Data Models and Relationships Usage
In Detail
SQL Server Analysis Service (SSAS) has been widely used across multiple businesses to build smart online analytical reporting solutions. It includes two different types of modeling for analysis services: Tabular and Multi Dimensional. This book covers Tabular modeling, which uses tables and relationships with a fast inmemory engine to provide state of the art compression algorithms and query performance.
The book begins by quickly taking you through the concepts required to model tabular data and set up the necessary tools and services. As you learn to create tabular models using tools such as Excel and Power View, you'll be shown various strategies to deploy your model on the server and choose a query mode (Inmemory or DirectQuery) that best suits your reporting needs.
You'll also learn how to implement key and newly introduced DAX functions to create calculated columns and measures for your model data. Last but not least, you'll be shown techniques that will help you administer and secure your BI implementation along with some widely used tips and tricks to optimize your reporting solution.
By the end of this book, you'll have gained handson experience with the powerful new features that have been added to Tabular models in SSAS 2016 and you'll be able to improve user satisfaction with faster reports and analytical queries.
Style and approach
This book takes a practical, recipebased approach where each recipe lists the steps to address or implement a solution. You will be provided with several approaches to creating a business intelligence semantic model using analysis services.
Publisher resources
Table of contents

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook
 Tabular Modeling with SQL Server 2016 Analysis Services Cookbook
 Credits
 About the Author
 About the Reviewer
 www.PacktPub.com
 Customer Feedback
 Preface
 1. Introduction to Microsoft Analysis Services Tabular Mode
 2. Setting up a Tabular Mode Environment

3. Tabular Model Building
 Introduction
 Adding new data to a tabular model
 Adding a calculated column
 Adding a measure to a tabular model
 Changing model views
 Renaming columns
 Defining a date table
 Creating hierarchies
 Understanding and building relationships
 Creating and organizing display folders
 Deploying your first model
 Browsing your model with SQL Server Management Studio
 Browsing your model with Microsoft Excel

4. Working in Tabular Models
 Introduction
 Opening an existing model
 Importing data
 Modifying model relationships
 Modifying model measures
 Modifying model columns
 Modifying model hierarchies
 Creating a calculated table
 Creating key performance indicators (KPIs)
 Modifying key performance indicators (KPIs)
 Deploying a modified model
 5. Administration of Tabular Models
 6. InMemory Versus DirectQuery Mode
 7. Securing Tabular Models

8. Combining Tabular Models with Excel
 Introduction
 Using Analyze in Excel from SSMS
 Connecting to Excel from SQL Server Data Tools
 Using PivotTables with tabular data
 Using the timeline filter with pivot tables
 Analyzing data with Power View
 Importing data with Power Pivot
 Modeling data with Power Pivot
 Adding data to Power Pivot
 Moving Power Pivot to SSAS via Management Studio
 Moving Power Pivot to SSAS via SQL Server Data Tools

9. DAX Syntax and Calculations
 Introduction
 Understanding DAX formulas
 Using the AutoSum measure in Visual Studio
 Creating calculated measures
 Creating calculated columns
 Using the IF function
 Using the AND function
 Using the SWITCH function
 Using the CONCATENATE function
 Using the LEFT Function
 Using the RELATED function
 Using the RELATEDTABLE function
 Using EVALUATE in DAX queries
 Filtering based on a value
 Filtering a related table
 Using ALL to remove filters
 Using ALL to calculate a percentage
 Using the SUMMARIZE function
 Adding columns to the SUMMARIZE function
 Using ROLLUP with the SUMMARIZE function

10. Working with Dates and Time Intelligence
 Introduction
 Creating a date table in Visual Studio
 Using the CALENDAR function
 Modifying the date table with the YEAR function
 Modifying the date table to include month data
 Using the NOW and TODAY functions
 Using the DATEDIFF function
 Using the WEEKDAY function
 Using the FIRSTDATE function
 Using the PARALLELPERIOD function
 Calculating Year over Year Growth
 Using the OPENINGBALANCEMONTH function
 Using the OPENINGBALANCEYEAR function
 Using the CLOSINGBALANCEMONTH function
 Using the CLOSINGBALANCEYEAR function
 Using the TOTALYTD function
 11. Using Power BI for Analysis
Product information
 Title: Tabular Modeling with SQL Server 2016 Analysis Services Cookbook
 Author(s):
 Release date: January 2017
 Publisher(s): Packt Publishing
 ISBN: 9781786468611
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