Smart Business Intelligence Solutions with Microsoft SQL Server 2008

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Get the end-to-end instruction you need to design, develop, and deploy more effective data integration, reporting, and analysis solutions using SQL Server 2008—whether you’re new to business intelligence (BI) programming or a seasoned pro. With real-world examples and insights from an expert team, you’ll master the concepts, tools, and techniques for building solutions that deliver intelligence—and business ...

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Smart Business Intelligence Solutions with Microsoft SQL Server 2008

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Get the end-to-end instruction you need to design, develop, and deploy more effective data integration, reporting, and analysis solutions using SQL Server 2008—whether you’re new to business intelligence (BI) programming or a seasoned pro. With real-world examples and insights from an expert team, you’ll master the concepts, tools, and techniques for building solutions that deliver intelligence—and business value—exactly where users want it.

Discover how to:

  • Manage the development life cycle and build a BI team
  • Dig into SQL Server Analysis Services, Integration Services, and Reporting Services
  • Navigate the Business Intelligence Development Studio (BIDS)
  • Write queries that rank, sort, and drill down on sales data
  • Develop extract, transform, and load (ETL) solutions
  • Add a source code control system
  • Help secure packages for deployment via encryption and credentials
  • Use MDX and DMX Query Designers to build reports based on OLAP cubes and data mining models
  • Create and implement custom objects using .NET code
  • View reports in Microsoft Office Excel® and Office SharePoint® Serverook
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Product Details

  • ISBN-13: 9780735625808
  • Publisher: Microsoft Press
  • Publication date: 2/4/2009
  • Pages: 800
  • Sales rank: 1,429,776
  • Product dimensions: 7.30 (w) x 9.00 (h) x 2.10 (d)

Meet the Author

Lynn Langit is a developer evangelist for the Microsoft MSDN® team. Prior to working at Microsoft, she founded and served as lead architect of a development firm that created BI solutions. She holds a number of Microsoft certifications, including MCITP, MCSD, MCDBA, and MCT.

Kevin S. Goff is a Microsoft MVP and a trainer and BI practice lead for a Microsoft Gold Certified Partner.

Davide Mauri, MCP, MCAD, MCDBA, MCT, is a Microsoft MVP who has worked with SQL Server since version 6.5.

Sahil Malik is a consultant and trainer who has been a Microsoft MVP and an INETA speaker for many years.

John Welch is a Microsoft MVP and the chief architect at a consulting firm specializing in BI solutions.

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Table of Contents

Lynn Langit;
Davide Mauri;
Sahil Malik;
Who This Book Is For;
What This Book Is About;
Prerelease Software;
Hardware and Software Requirements;
Find Additional Content Online;
Support for This Book;
Part I: Business Intelligence for Business Decision Makers and Architects;
Chapter 1: Business Intelligence Basics;
1.1 Business Intelligence and Data Modeling;
1.2 OLTP and OLAP;
1.3 Common BI Terminology;
1.4 Core Components of a Microsoft BI Solution;
1.5 Optional Components of a Microsoft BI Solution;
1.6 Query Languages Used in BI Solutions;
1.7 Summary;
Chapter 2: Visualizing Business Intelligence Results;
2.1 Matching Business Cases to BI Solutions;
2.2 Understanding Business Intelligence from a User’s Perspective;
2.3 Elements of a Complete BI Solution;
2.4 Common Business Challenges and BI Solutions;
2.5 Measuring the ROI of BI Solutions;
2.6 Summary;
Chapter 3: Building Effective Business Intelligence Processes;
3.1 Software Development Life Cycle for BI Projects;
3.2 Skills Necessary for BI Projects;
3.3 Forming Your Team;
3.4 Summary;
Chapter 4: Physical Architecture in Business Intelligence Solutions;
4.1 Planning for Physical Infrastructure Change;
4.2 Determining the Optimal Number and Placement of Servers;
4.3 Understanding Security Requirements;
4.4 Backup and Restore;
4.5 Auditing and Compliance;
4.6 Source Control;
4.7 Summary;
Chapter 5: Logical OLAP Design Concepts for Architects;
5.1 Designing Basic OLAP Cubes;
5.2 Summary;
Part II: Microsoft SQL Server 2008 Analysis Services for Developers;
Chapter 6: Understanding SSAS in SSMS and SQL Server Profiler;
6.1 Core Tools in SQL Server Analysis Services;
6.2 Summary;
Chapter 7: Designing OLAP Cubes Using BIDS;
7.1 Using BIDS;
7.2 Working in Solution Explorer;
7.3 Building OLAP Cubes in BIDS;
7.4 Understanding Dimensions;
7.5 Using Dimensions;
7.6 Building Your First OLAP Cube;
7.7 Summary;
Chapter 8: Refining Cubes and Dimensions;
8.1 Refining Your First OLAP Cube;
8.2 Using Cube and Dimension Properties;
8.3 Advanced Cube and Dimension Properties;
8.4 Summary;
Chapter 9: Processing Cubes and Dimensions;
9.1 Building, Processing, and Deploying OLAP Cubes;
9.2 Partitioning;
9.3 Implementing Aggregations;
9.4 Implementing Advanced Storage with MOLAP, HOLAP, or ROLAP;
9.5 Proactive Caching;
9.6 Cube and Dimension Processing Options;
9.7 Summary;
Chapter 10: Introduction to MDX;
10.1 The Importance of MDX;
10.2 Writing Your First MDX Queries;
10.3 MDX Core Functions;
10.4 Filtering MDX Result Sets;
10.5 Calculated Members and Named Sets;
10.6 The TopCount Function;
10.7 Rank Function and Combinations;
10.8 Head and Tail Functions;
10.9 Hierarchical Functions in MDX;
10.10 Date Functions;
10.11 Summary;
Chapter 11: Advanced MDX;
11.1 Querying Dimension Properties;
11.2 Looking at Date Dimensions and MDX Seasonality;
11.3 Creating Permanent Calculated Members;
11.4 Using IIf;
11.5 About Named Sets;
11.6 About Scripts;
11.7 Understanding SOLVE_ORDER;
11.8 Creating Key Performance Indicators;
11.9 Using MDX with SSRS and PerformancePoint Server;
11.10 Summary;
Chapter 12: Understanding Data Mining Structures;
12.1 Reviewing Business Scenarios;
12.2 Working in the BIDS Data Mining Interface;
12.3 Data Mining Algorithms;
12.4 The Art of Data Mining;
12.5 Summary;
Chapter 13: Implementing Data Mining Structures;
13.1 Implementing the CRISP-DM Life Cycle Model;
13.2 Building Data Mining Structures using BIDS;
13.3 Adding Data Mining Models Using BIDS;
13.4 Processing Mining Models;
13.5 Validating Mining Models;
13.6 Data Mining Prediction Queries;
13.7 Data Mining and Integration Services;
13.8 Data Mining Object Processing;
13.9 Data Mining Clients;
13.10 Summary;
Part III: Microsoft SQL Server 2008 Integration Services for Developers;
Chapter 14: Architectural Components of Microsoft SQL Server 2008 Integration Services;
14.1 Overview of Integration Services Architecture;
14.2 Integration Services Packages;
14.3 The Integration Services Object Model and Components;
14.4 The Integration Services Runtime;
14.5 The Integration Services Data Flow Engine;
14.6 Log Providers;
14.7 Deploying Integration Services Packages;
14.8 Summary;
Chapter 15: Creating Microsoft SQL Server 2008 Integration Services Packages with Business Intelligence Development Studio;
15.1 Integration Services in Visual Studio 2008;
15.2 Connection Managers;
15.3 Control Flow;
15.4 Data Flow;
15.5 Variables;
15.6 Expressions;
15.7 Summary;
Chapter 16: Advanced Features in Microsoft SQL Server 2008 Integration Services;
16.1 Error Handling in Integration Services;
16.2 Events, Logs, Debugging, and Transactions in SSIS;
16.3 Logging and Events;
16.4 Debugging Integration Services Packages;
16.5 Checkpoints and Transactions;
16.6 Best Practices for Designing Integration Services Packages;
16.7 Data Profiling;
16.8 Summary;
Chapter 17: Microsoft SQL Server 2008 Integration Services Packages in Business Intelligence Solutions;
17.1 ETL for Business Intelligence;
17.2 Loading OLAP Cubes;
17.3 Moving to Star Schema Loading;
17.4 Updates;
17.5 ETL for Data Mining;
17.6 Summary;
Chapter 18: Deploying and Managing Solutions in Microsoft SQL Server 2008 Integration Services;
18.1 Solution and Project Structures in Integration Services;
18.2 Source Code Control;
18.3 The Deployment Challenge;
18.4 SQL Server Agent and Integration Services;
18.5 The SSIS Service;
18.6 Summary;
Chapter 19: Extending and Integrating SQL Server 2008 Integration Services;
19.1 Introduction to SSIS Scripting;
19.2 Visual Studio Tools for Applications;
19.3 The Script Task;
19.4 The Script Component;
19.5 Overview of Custom SSIS Task and Component Development;
19.6 Overview of SSIS Integration in Custom Applications;
19.7 Summary;
Part IV: Microsoft SQL Server Reporting Services and Other Client Interfaces for Business Intelligence;
Chapter 20: Creating Reports in SQL Server 2008 Reporting Services;
20.1 Understanding the Architecture of Reporting Services;
20.2 Installing and Configuring Reporting Services;
20.3 Creating Reports with BIDS;
20.4 Deploying Reports;
20.5 Summary;
Chapter 21: Building Reports for SQL Server 2008 Reporting Services;
21.1 Using the Query Designers for Analysis Services;
21.2 Understanding Report Items;
21.3 Using Report Builder;
21.4 Summary;
Chapter 22: Advanced SQL Server 2008 Reporting Services;
22.1 Adding Custom Code to SSRS Reports;
22.2 Viewing Reports in Word or Excel 2007;
22.3 URL Access;
22.4 Embedding Custom ReportViewer Controls;
22.5 About Report Parameters;
22.6 About Security Credentials;
22.7 About the SOAP API;
22.8 Deployment—Scalability and Security;
22.9 Administrative Scripting;
22.10 Summary;
Chapter 23: Using Microsoft Excel 2007 as an OLAP Cube Client;
23.1 Using the Data Connection Wizard;
23.2 Working with the Import Data Dialog Box;
23.3 Understanding the PivotTable Interface;
23.4 Creating a Sample PivotTable;
23.5 Offline OLAP;
23.6 Excel OLAP Functions;
23.7 Extending Excel;
23.8 Summary;
Chapter 24: Microsoft Office 2007 as a Data Mining Client;
24.1 Installing Data Mining Add-ins;
24.2 Data Mining Integration with Excel 2007;
24.3 Data Mining Integration in Visio 2007;
24.4 Client Visualization;
24.5 Data Mining in the Cloud;
24.6 Summary;
Chapter 25: SQL Server Business Intelligence and Microsoft Office SharePoint Server 2007;
25.1 Excel Services;
25.2 SQL Server Reporting Services with Office SharePoint Server 2007;
25.3 PerformancePoint Server;
25.4 Summary;
About the Authors;
Lynn Langit;
Davide Mauri;
Sahil Malik;
Kevin Goff;
John Welch;

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    Posted May 7, 2012

    Very informative

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