Applied Microsoft Business Intelligence E-Book

Patrick LeBlanc

• Herausgeber: John Wiley & Sons
• Kategorie: Wissenschaft und neue Technologien
• Sprache: Englisch

Seitenzahl: 506

Veröffentlichungsjahr: 2015

Beschreibung

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 tools--including Microsoft Office and SQL Server--to 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

Leseprobe

Table of Contents

Introduction

Overview of the Book and Technology

How This Book Is Organized

Who Should Read This Book

Tools You Will Need

What's on the Website

Summary

Part I: Overview of the Microsoft Business Intelligence Toolset

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

Selecting a SQL Server Database Engine

Selecting SQL Server Analysis Services

Working with SQL Server Reporting Services

Working with SharePoint

Working with Performance Point

Using Excel for Business Intelligence

Which Development Tools Do You Need?

Summary

Chapter 2: Designing an Effective Business Intelligence Architecture

Identifying the Audience and Goal of the Business Intelligence Solution

What Are the Data Sources?

Using a Data Warehouse (or Not)

Implementing and Enforcing Data Governance

Planning an Analytical Model

Planning the Business Intelligence Delivery Solution

Considering Performance

Considering Availability

Summary

Chapter 3: Selecting the Data Architecture that Fits Your Organization

Why Is Data Architecture Selection Important?

How Do You Pick the Right Data Architecture?

Summary

Part II: Business Intelligence for Analysis

Chapter 4: Searching and Combining Data with Power Query

Downloading and Installing Power Query

Transforming Data

Introducing M Programming

Summary

Chapter 5: Choosing the Right Business Intelligence Semantic Model

Understanding the Business Intelligence Semantic Model Architecture

Understanding the Data Access Layer

Implementing Query Languages and the Business Logic Layer

Comparing the Different Types of Models

Which Model Fits Your Organization?

Summary

Chapter 6: Discovering and Analyzing Data with Power Pivot

Understanding Hardware and Software Requirements

Enabling Power Pivot

Designing an Optimal Power Pivot Model

Optimizing the Power Pivot Model for Reporting

Summary

Chapter 7: Developing a Flexible and Scalable Tabular Model

Why Use a Tabular Model?

How Do You Design the Model?

How Do You Enhance the Model?

How Do You Tune the Model?

Summary

Chapter 8: Developing a Flexible and Scalable Multidimensional Model

Why Use a Multidimensional Model?

How Do You Design the Model?

How Do You Enhance the Model?

How Do You Tune the Model?

Summary

Chapter 9: Discovering Knowledge with Data Mining

Understanding the Business Value of Data Mining

Getting the Basics Right

Applying the Microsoft Data Mining Techniques with Best Practices

Developing and Deploying a Scalable and Extensible Data Mining Solution

Maintaining Data Mining Models

Integrating Data Mining with Your BI Solution

Summary

Part III: Business Intelligence for Reporting

Chapter 10: Choosing the Right Business Intelligence Visualization Tool

Why Do You Need to Choose?

What Are the Selection Criteria?

How Do You Gather the Necessary Information?

What Are the Business Intelligence Visualization Options?

How Do You Create and Complete the Evaluation Matrix?

How Do You Verify and Complete the Process?

Summary

Chapter 11: Designing Operational Reports with Reporting Services

What Are Operational Reports and Reporting Services?

What Are Development Best Practices?

What Are Performance Best Practices?

What Are Functionality Best Practices?

Summary

Chapter 12: Visualizing Your Data Interactively with Power View

Where Does Power View Fit with Your Reporting Solution?

Power View System Requirements

Creating Power View Data Source Connections

Creating Power View Reports

Filtering Data with Power View

Exporting Power View Reports

Summary

Chapter 13: Exploring Geographic and Temporal Data with Power Map

How Power Map Fits into Reporting Solutions

Optimizing Your Data Model for Power Map

Working with Geospatial and Temporal Data

Deploying and Sharing Power Map Visualizations

Summary

Chapter 14: Monitoring Your Business with PerformancePoint Services

Where Does PerformancePoint Services Fit with Your Reporting Solution?

Extending PPS Dashboards

Deployment Best Practices

Security and Configuration Best Practices

Summary

Part IV: Deploying and Managing the Business Intelligence Solution

Chapter 15: Implementing a Self-Service Delivery Framework

Planning a Self-Service Delivery Framework

Inventorying Tools and Skillset

Defining Success Criteria

Summary

Chapter 16: Designing and Implementing a Deployment Plan

What Is a Deployment Plan?

How Do You Deploy Business Intelligence Code?

How Do You Implement the Deployment Plan?

Summary

Chapter 17: Managing and Maintaining the Business Intelligence Environment

Using SQL Server Reporting Services

Configuring Memory

Working with SQL Server Analysis Services

Using SharePoint to Improve Performance

Summary

Chapter 18: Scaling the Business Intelligence Environment

Why Would You Scale the Business Intelligence Environment?

How Do You Scale Each Tool?

Summary

End User License Agreement

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