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 10: Creating Interactive Reports and Enhancing Your Models in Power BI

In Chapter 9, Exploring and Visualizing Your Data with Excel, we connected our models to Microsoft Excel. In this chapter, we will connect our models to Power BI, build out some reports and dashboards, and enhance the models in Power BI. You will be able to use these techniques to create compelling visualizations for your users. The goal with Power BI is to clearly visualize data to help users make informed decisions quickly while at the same time interact with the data to dive into the details.

We will wrap up the chapter by demonstrating how to add measures to the live connection Power BI dashboard and how to deploy your desktop files to share in the Power BI service online. We will be creating two Power BI Desktop files, one for each model. This will allow us to compare how the models interact with Power BI.

In this chapter, we're going to cover the following main topics:

  • Creating...