Exam Ref 70-768 Developing SQL Data Models (Paperback)


Prepare for Microsoft Exam 70-768-and help demonstrate your real-world mastery of Business Intelligence (BI) solutions development with SQL Server 2016 Analysis Services (SSAS), including modeling and queries. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: * Design a multidimensional BI semantic model * Design a tabular BI semantic model * Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) * Configure and maintain SSAS This Microsoft Exam Ref: * Organizes its coverage by exam objectives * Features strategic, what-if scenarios to challenge you * Assumes you are a database or BI professional with experience creating models, writing MDX or DAX queries, and using SSAS

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Product Description

Prepare for Microsoft Exam 70-768-and help demonstrate your real-world mastery of Business Intelligence (BI) solutions development with SQL Server 2016 Analysis Services (SSAS), including modeling and queries. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: * Design a multidimensional BI semantic model * Design a tabular BI semantic model * Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) * Configure and maintain SSAS This Microsoft Exam Ref: * Organizes its coverage by exam objectives * Features strategic, what-if scenarios to challenge you * Assumes you are a database or BI professional with experience creating models, writing MDX or DAX queries, and using SSAS

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Product Details

General

Imprint

Microsoft Press

Country of origin

United States

Series

Exam Ref

Release date

May 2017

Availability

Expected to ship within 9 - 15 working days

First published

2017

Authors

Dimensions

227 x 187 x 20mm (L x W x T)

Format

Paperback

Pages

361

ISBN-13

978-1-5093-0515-5

Barcode

9781509305155

Categories

LSN

1-5093-0515-7



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