Book Image

Hands-On SQL Server 2019 Analysis Services

By : Steve Hughes
Book Image

Hands-On SQL Server 2019 Analysis Services

By: Steve 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)
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

Implementing data security in tabular models

Just to recap, we have covered the administrator roles for Analysis Services, which give full access to the model, and we have created a Read Only role for the tabular model. In tabular models, dimensional and cell-level security are not available. When we created the Read Only role, we set the database level permission as Read in the Role Manager.

In the following sections, we will create two additional roles – Tailspin Toys Group and Dynamic Sales. The first will use the Row Filters option to limit a user's access to the data based on the filter. The second role will be dynamic and will leverage some of the work we did to support the multidimensional dynamic dimension security.

Creating a role to limit access to a customer

Now, we are going to limit what users can see by creating a new role that will limit the data to Tailspin Toys. To do this, we will use row filters. Let's get started:

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