Introduction to Data Mining with SQL Server 2000下载

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微软SQL数据挖掘/数据仓库技术研讨会讲义
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Introduction to Data Mining with SQL Server 2000
微软SQL数据挖掘/数据仓库技术研讨会讲义
Smart Business Intelligence Solutions with Microsoft SQL Server 2008 Feb 2009
Smart Business Intelligence Solutions with Microsoft SQL Server 2008 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 Part I Business Intelligence for Business Decision Makers and Architects 1 Business Intelligence Basics 3 2 Visualizing Business Intelligence Results 27 3 Building Effective Business Intelligence Processes 61 4 Physical Architecture in Business Intelligence Solutions 85 5 Logical OLAP Design Concepts for Architects 115 Part II Microsoft SQL Server 2008 Analysis Services for Developers 6 Understanding SSAS in SSMS and SQL Server Profler 153 7 Designing OLAP Cubes Using BIDS 183 8 Refning Cubes and Dimensions 225 9 Processing Cubes and Dimensions 257 10 Introduction to MDX 293 11 Advanced MDX 329 12 Understanding Data Mining Structures 355 13 Implementing Data Mining Structures 399 Part III Microsoft SQL Server 2008 Integration Services for Developers 14 Architectural Components of Microsoft SQL Server 2008 Integration Services 435 15 Creating Microsoft SQL Server 2008 Integration Services Packages with Business Intelligence Development Studio 463 16 Advanced Features in Microsoft SQL Server 2008 Integration Services 497 17 Microsoft SQL Server 2008 Integration Services Packages in Business Intelligence Solutions 515 18 Deploying and Managing Solutions in Microsoft SQL Server 2008 Integration Services 539 19 Extending and Integrating SQL Server 2008 Integration Services 567 Part IV Microsoft SQL Server Reporting Services and Other Client Interfaces for Business Intelligence 20 Creating Reports in SQL Server 2008 Reporting Services 603 21 Building Reports for SQL Server 2008 Reporting Services 627 22 Advanced SQL Server 2008 Reporting Services 647 23 Using Microsoft Excel 2007 as an OLAP Cube Client 671 24 Microsoft Offce 2007 as a Data Mining Client 687 25 SQL Server Business Intelligence and Microsoft Offce SharePoint Server 2007 723
统计机器学习入门——线性回归
统计机器学习入门——老司机带你读经典系列课程使用经典的ISLR（An Introduction to Statistical Learning with Applications in R）为教材，结合具体案例，介绍统计学习的基本概念和常用算法。
微软数据库考试70-768: Exam Ref 70-768 Developing SQL Data Models
微软MCSA认证考试70-768 Developing SQL Data Models Course OutlineModule 1: Introduction to Business Intelligence and Data ModelingThis module introduces key BI concepts and the Microsoft BI product suite.Lessons Introduction to Business Intelligence The Microsoft business intelligence platform Lab : Exploring a BI Solution Exploring a Data Warehouse Exploring a data model After completing this module, students will be able to: Describe BI scenarios, trends, and project roles. Describe the products that make up the Microsoft BI platform. Module 2: Creating Multidimensional Databases This module describes how to create multidimensional databases using SQL Server Analysis Services.Lessons Introduction to Multidimensional Analysis Data Sources and Data Source Views Cubes Overview of Cube Security Configure SSAS Monitoring SSAS Lab : Creating a multidimensional database Creating a Data Source Creating and Configuring a data Source View Creating and Configuring a Cube Adding a Dimension to a Cube After completing this module, you will be able to: Describe considerations for a multidimensional database. Create data sources and data source views. Create a cube Implement security in a multidimensional database. Configure SSAS to meet requirements including memory limits, NUMA and disk layout. Monitor SSAS performance. Module 3: Working with Cubes and DimensionsThis module describes how to implement dimensions in a cube.Lessons Configuring Dimensions Defining Attribute Hierarchies Implementing Sorting and Grouping Attributes Slowly Changing Dimensions Lab : Working with Cubes and Dimensions Configuring Dimensions Defining Relationships and Hierarchies Sorting and Grouping Dimension Attributes After completing this module, you will be able to: Configure dimensions. Define attribute hierarchies. Implement sorting and grouping for attri
Pro SQL Server 2008 Analysis Service
Pro SQL Server 2008 Analysis Service--英文版 Table of Contents 01.Introduction to OLAP 02.Cubes, Dimensions, and Measures 03.SQL Server Analysis Services 04.SSAS Developer and Admin Interfaces 05.Creating a Data Source View 06.Creating Dimensions 07.Building a Cube 08.Deploying and Processing 09.MDX219 10: Cube Features 10.Data Mining 11.PowerPivot 12.Administration 13.User Interfaces
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