Applied Microsoft Business Intelligence 1st Edition by Patrick LeBlanc, Jessica Moss, Dejan Sarka, Dustin Ryan 9781118961773 1118961773

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ISBN 10: 1118961773
ISBN 13: 9781118961773 
Author: Patrick LeBlanc, Jessica M. Moss, Dejan Sarka, Dustin Ryan

Leverage the integration of SQL Server and Office for more effective BI Applied Microsoft Business Intelligence shows you how to leverage the complete set of Microsoft toolsincluding Microsoft Office and SQL Serverto better analyze business data. This book provides best practices for building complete BI solutions using the full Microsoft toolset. You will learn how to effectively use SQL Server Analysis and Reporting Services, along with Excel, SharePoint, and other tools to provide effective and cohesive solutions for the enterprise. Coverage includes BI architecture, data queries, semantic models, multidimensional modeling, data analysis and visualization, performance monitoring, data mining, and more, to help you learn to perform practical business analysis and reporting. Written by an author team that includes a key member of the BI product team at Microsoft, this useful reference provides expert instruction for more effective use of the Microsoft BI toolset. Use Microsoft BI suite cohesively for more effective enterprise solutions Search, analyze, and visualize data more efficiently and completely Develop flexible and scalable tabular and multidimensional models Monitor performance, build a BI portal, and deploy and manage the BI Solution

Applied Microsoft Business Intelligence 1st Table of contents:

Part I: Overview of the Microsoft Business Intelligence Toolset

• Chapter 1: Which Analysis and Reporting Tools Do You Need?

• Chapter 2: Designing an Effective Business Intelligence Architecture

• Chapter 3: Selecting the Data Architecture that Fits Your Organization

Part II: Business Intelligence for Analysis

• Chapter 4: Searching and Combining Data with Power Query

• Chapter 5: Choosing the Right Business Intelligence Semantic Model

• Chapter 6: Discovering and Analyzing Data with Power Pivot

• Chapter 7: Developing a Flexible and Scalable Tabular Model

• Chapter 8: Developing a Flexible and Scalable Multidimensional Model

• Chapter 9: Discovering Knowledge with Data Mining

Part III: Business Intelligence for Reporting

• Chapter 10: Choosing the Right Business Intelligence Visualization Tool

• Chapter 11: Designing Operational Reports with Reporting Services

• Chapter 12: Visualizing Your Data Interactively with Power View

• Chapter 13: Exploring Geographic and Temporal Data with Power Map

• Chapter 14: Monitoring Your Business with PerformancePoint Services

Part IV: Deploying and Managing the Business Intelligence Solution

• Chapter 15: Implementing a Self-Service Delivery Framework

• Chapter 16: Designing and Implementing a Deployment Plan

• Chapter 17: Managing and Maintaining the Business Intelligence Environment

• Chapter 18: Scaling the Business Intelligence Environment

Index

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Tags: Patrick LeBlanc, Jessica Moss, Dejan Sarka, Dustin Ryan, Microsoft