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TABULAR MODELING WITH SQL SERVER 2016 ANALYSIS SERVICES COOKBOOK
Título:
TABULAR MODELING WITH SQL SERVER 2016 ANALYSIS SERVICES COOKBOOK
Subtítulo:
Autor:
WILSON, D
Editorial:
PACKT PUBLISHING
Año de edición:
2017
Materia
SQL
ISBN:
978-1-78646-861-1
Páginas:
372
61,88 €

 

Sinopsis

Learn all about Tabular services mode and how it speeds up development
Build solutions using sample datasets
Explore built-in actions and transitions in SSAS 2016
Implement row-column, and role-based security in a Tabular Data model
Realize the benefits of in-memory and DirectQuery deployment modes
Get up to date with the new features added to SQL Server 2016 Analysis Services
Optimize Data Models and Relationships Usage
About
SQL Server Analysis Service (SSAS) has been widely used across multiple businesses to build smart online analytical reporting solutions. It includes two different types of modeling for analysis services: Tabular and Multi Dimensional. This book covers Tabular modeling, which uses tables and relationships with a fast in-memory engine to provide state of the art compression algorithms and query performance.

The book begins by quickly taking you through the concepts required to model tabular data and set up the necessary tools and services. As you learn to create tabular models using tools such as Excel and Power View, you'll be shown various strategies to deploy your model on the server and choose a query mode (In-memory or DirectQuery) that best suits your reporting needs.

You'll also learn how to implement key and newly introduced DAX functions to create calculated columns and measures for your model data. Last but not least, you'll be shown techniques that will help you administer and secure your BI implementation along with some widely used tips and tricks to optimize your reporting solution.

By the end of this book, you'll have gained hands-on experience with the powerful new features that have been added to Tabular models in SSAS 2016 and you'll be able to improve user satisfaction with faster reports and analytical queries.

Features
Build and deploy Tabular Model projects from relational data sources
Leverage DAX and create high-performing calculated fields and measures
Create ad-hoc reports based on a Tabular Model solution
Useful tips to monitor and optimize your tabular solutions