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

Chapter 9: Exploring and Visualizing Your Data with Excel

We have now created multidimensional and tabular models in the previous chapters. The data is ready, so let's visualize it. We will start our data visualization in Excel. Microsoft Excel has been the most prolific analytics tool on the market for years. While that is not its primary focus, its utility, simplicity, and reach far exceed those of its nearest competitor.

In this chapter, we will connect our models to Excel, build out some reports and dashboards, and explore the differences between these models in Excel. We will wrap up the chapter with some advanced visualization techniques that are unique to Excel when working with analytical models built in SQL Server. We will be creating two Excel workbooks, one for each model. This will allow us to compare how the models interact with Excel.

When you are finished with this chapter, you should be comfortable with connecting both multidimensional and tabular models...