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

Introducing MDX basics – SELECT, FROM, WHERE

MDX serves two primary purposes when working with multidimensional data – querying data and enhancing the cube. In this section, we will walk through the basics of building a query with measures. We will be working in SQL Server Management Studio for this section. You will need to have your cube processed in order to create the queries.

Understanding multidimensional query concepts

SQL is a tabular query language. It returns data in columns and rows. A multidimensional model has more depth than columns and rows. This means you can have rows, columns, and other dimensions. Conceptually, every data point in a measure group is intersected by every level on every dimension in the cube. This will allow you to navigate the model in different ways. While MDX has the same core language construction as SQL, it adds expressions that support navigating data multidimensionally. Now you know why they are called cubes. Let's...