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Hands-On SQL Server 2019 Analysis Services

Hands-On SQL Server 2019 Analysis Services

By : Steven Hughes
5 (7)
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Hands-On SQL Server 2019 Analysis Services

Hands-On SQL Server 2019 Analysis Services

5 (7)
By: Steven 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)
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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

Scaling your models

There are two ways to scale in the database world – scale up or scale out – and they apply to Analysis Services models. Both options bring more compute, memory, and storage to support better performance or larger models.

Scaling up is a pure hardware play. This involves adding more resources to your environment such as RAM or CPUs. In this scenario, bigger is better. For example, you can choose to increase compute capacity by adding CPUs to a server, vCPUs to a virtual machine, and swapping in newer CPUs with more cores. In these situations, you typically leave the SSAS instance in place and it will consume the expanded resources. Scaling up has limits, as you would suspect. You can only scale so far.

The next option is to scale out. Relational databases in many cases do not natively support scale-out scenarios. However, SSAS scales out very well. Both tabular and multidimensional models are designed to scale out to support processing, model...

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