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Hands-On SQL Server 2019 Analysis Services

Hands-On SQL Server 2019 Analysis Services

By : Steven Hughes
5 (6)
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Hands-On SQL Server 2019 Analysis Services

Hands-On SQL Server 2019 Analysis Services

5 (6)
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

Reviewing other maintenance tasks or tools

In this section, we have a number of tasks and tools that can support the operational needs of your SQL Server Analysis Server solutions. Let's look at each of them in detail.

Warming multidimensional models

One of the issues with multidimensional models is that they use caching extensively to improve query performance. When a cube is reprocessed, the cache is cleaned up. When users start to use the cube, they can experience significant performance issues because the data is being retrieved from disk as opposed to memory. While this can happen at any time, especially when uncommon queries are run, it can be frustrating if, every Monday morning, the CEO needs to wait for this query. Once it is cached, it performs great.

The solution to this issue is to warm the cache. This typically involves running several queries right after the cube has been processed to load common or key data into the cache, thereby improving the user experience...

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