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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Stacia Varga, Microsoft Data Platform MVP since 2011, has been helping organizations and individuals succeed with SQL Server Analysis Services since it launched in SQL Server 2000. She has authored or coauthored multiple books about BI (as Stacia Misner), and co-authored Introducing Microsoft SQL Server 2016. Varga trains and consults through her company, Data Inspirations; speaks frequently at SQL Server events; and leads SQL Server Society of Las Vegas.
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Librería: Hamelyn, Madrid, M, España
Condición: Como nuevo. : Esta guía de referencia es un recurso esencial para aquellos que buscan la certificación MCSA: SQL 2016 Business Intelligence Development. Escrito por Stacia Varga, MVP de Microsoft Data Platform, este libro ofrece una preparación de nivel profesional para maximizar el rendimiento en el examen 70-768 y perfeccionar las habilidades en el trabajo. Se centra en las áreas de experiencia específicas que los profesionales de bases de datos y business intelligence necesitan para tener éxito con SQL Server 2016 Analysis Services. EAN: 9781509305155 Tipo: Libros Categoría: Tecnología|Educación Título: Exam Ref 70-768 Developing SQL Data Models Autor: Stacia Varga Editorial: Microsoft Press Idioma: en Páginas: 384 Formato: tapa blanda. Nº de ref. del artículo: Happ-2025-07-10-070939e2
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