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Hands-On SQL Server 2019 Analysis Services

Hands-On SQL Server 2019 Analysis Services

By : Steven Hughes
5 (7)
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Hands-On SQL Server 2019 Analysis Services

Hands-On SQL Server 2019 Analysis Services

5 (7)
By: Steven Hughes

Overview of this book

SQL Server Analysis Services (SSAS) continues to be a leading enterprise-scale toolset, enabling customers to deliver data and analytics across large datasets with great performance. This book will help you understand MS SQL Server 2019’s new features and improvements, especially when it comes to SSAS. First, you’ll cover a quick overview of SQL Server 2019, learn how to choose the right analytical model to use, and understand their key differences. You’ll then explore how to create a multi-dimensional model with SSAS and expand on that model with MDX. Next, you’ll create and deploy a tabular model using Microsoft Visual Studio and Management Studio. You'll learn when and how to use both tabular and multi-dimensional model types, how to deploy and configure your servers to support them, and design principles that are relevant to each model. The book comes packed with tips and tricks to build measures, optimize your design, and interact with models using Excel and Power BI. All this will help you visualize data to gain useful insights and make better decisions. Finally, you’ll discover practices and tools for securing and maintaining your models once they are deployed. By the end of this MS SQL Server book, you’ll be able to choose the right model and build and deploy it to support the analytical needs of your business.
Table of Contents (19 chapters)
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1
Section 1: Choosing Your Model
4
Section 2: Building and Deploying a Multidimensional Model
8
Section 3: Building and Deploying Tabular Models
12
Section 4: Exposing Insights while Visualizing Data from Your Models
15
Section 5: Security, Administration, and Managing Your Models

Creating calculation groups

Calculation groups are new to tabular models. You can only use this functionality if your model is set to Compatibility Level = 1500. Now, why is this important? As tabular models become more prevalent, we see more and more calculations being added to models. Many times, users grab a common set of calculations in various settings. For example, we created YTD, next year, and previous year measures for Invoice Sales.

If you want to do the same calculations for Invoice Profit, you will need to create new measures to support this. With calculation groups, you can create a group of metrics that work with various measures. We could use a calculation group to create the time intelligence calculations that can be shared across measures.

Getting ready to create calculation groups

Before we create our calculation group, we need to make sure our measures and model are ready. First, this functionality only works with explicit measures. Explicit measures are...

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