Explore tips and tricks to design, develop, and optimize end-to-end data analytics solutions using Microsoft's technologies
Learn tabular modeling and multi-dimensional cube design development using real-world examples
Implement Analysis Services to help you make productive business decisions
Description
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.
What you will learn
Determine the best analytical model using SSAS
Cover the core aspects involved in MDX, including writing your first query
Implement calculated tables and calculation groups (new in version 2019) in DAX
Create and deploy tabular and multi-dimensional models on SQL 2019
Connect and create data visualizations using Excel and Power BI
Implement row-level and other data security methods with tabular and multi-dimensional models
Explore essential concepts and techniques to scale, manage, and optimize your SSAS solutions
Steve Hughes is a senior director of data and analytics at 3Cloud. In this role, he focuses on growing the teams' skills and capabilities to deliver data projects with Azure. In his 20 years of experience in technology, much of the time was spent on creating business intelligence (BI) solutions and helping customers implement BI and cloud solutions. He is passionate about helping customers understand that data is valuable and profitable. Steve has recently been diagnosed with ALS but continues to work and share with others what he has learned. Steve is also the founder of Data on Wheels where he blogs with one of his daughters on topics such as data, analytics, and work enablement
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