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

Backing up and restoring SSAS databases

We are often asked about backing up SSAS databases as part of normal operations. Before we get into the how, we should understand when and why. Typically, both multidimensional and tabular model types are for analysis only. The underlying data is the source and that source retains all the data to refresh our models. If your models are small, you can reload them entirely from the source, which is usually a data warehouse or an operational data store.

Databases and models

A point of clarification here: the term model is interchangeable with database in this section. While models refer to the design method, database is a more generic term that covers both multidimensional and tabular models. Effectively, both models are stored as databases. When working with administrative tasks, such as backing up and restoring, the syntax uses database terminology, which is like relational database terms and functions making administration simpler.

In...