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 attributes.
Implement slowly changing dimensions.
Module 4: Working with Measures and Measure GroupsThis module describes how to implement measures and measure groups in a cube.Lessons
Working with Measures
Working with Measure Groups
Lab : Configuring Measures and Measure Groups
Configuring Measures
Defining Regular Relationships
Configuring Measure Group Storage
After completing this module, you will be able to:
Configure measures.
Configure measure groups.
Module 5: Introduction to MDXThis module describes the MDX syntax and how to use MDX.Lessons
MDX fundamentals
Adding Calculations to a Cube
Using MDX to Query a Cube
Lab : Using MDX
Querying a cube using MDX
Adding a Calculated Member
After completing this module, you will be able to:
Use basic MDX functions.
Use MDX to add calculations to a cube.
Use MDX to query a cube.
Module 6: Customizing Cube FunctionalityThis module describes how to customize a cube.Lessons
Implementing Key Performance Indicators
Implementing Actions
Implementing Perspectives
Implementing Translations
Lab : Customizing a Cube
Implementing an action
Implementing a perspective
Implementing a translation
After completing this module, you will be able to:
Implement KPIs in a Multidimensional database
Implement Actions in a Multidimensional database
Implement perspectives in a Multidimensional database
Implement translations in a Multidimensional database
Module 7: Implementing a Tabular Data Model by Using Analysis ServicesThis module describes how to implement a tabular data model in Power Pivot.Lessons
Introduction to Tabular Data Models
Creating a Tabular Data Model
Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
Lab : Working with an Analysis Services Tabular Data Model
Creating an Analysis Services Tabular Data Model
Configure Relationships and Attributes
Configuring Data Model for an Enterprise BI Solution.
After completing this module, students will be able to:
Describe tabular data models
Describe how to create a tabular data model
Use an Analysis Services Tabular Model in an enterprise BI solution
Module 8: Introduction to Data Analysis [removed]DAX)This module describes how to use DAX to create measures and calculated columns in a tabular data model.Lessons
DAX Fundamentals
Using DAX to Create Calculated Columns and Measures in a Tabular Data Model
Lab : Creating Calculated Columns and Measures by using DAX
Creating Calculated Columns
Creating Measures
Creating a KPI
Creating a Parent – Child Hierarchy
After completing this module, students will be able to:
Describe the key features of DAX
Create calculated columns and measures by using DAX
Module 9: Performing Predictive Analysis with Data MiningThis module describes how to use data mining for predictive analysis.Lessons
Overview of Data Mining
Creating a Custom Data Mining Solution
Validating a Data Mining Model
Connecting to and Consuming a Data-Mining Model
Using the Data Mining add-in for Excel
Lab : Using Data Mining
Creating a Data Mining Structure and Model
Exploring Data Mining Models
Validating Data Mining Models
Consuming a Data Mining Model
Using the Excel Data Mining add-in
After completing this module, students will be able to:
Describe considerations for data mining
Create a data mining model
Validate a data mining model
Connect to a data-mining model
Use the data mining add-in for Excel
使用Subversion进行版本控制针对 Subversion 1.4（根据r2866编译）
What Is Subversion?
Subversion is a free/open source version control system. That is, Subversion manages files and directories, and the changes made to them, over time. This allows you to recover older versions of your data or examine the history of how your data changed. In this regard, many people think of a version control system as a sort of “time machine.”
Subversion can operate across networks, which allows it to be used by people on different computers. At some level, the ability for various people to modify and manage the same set of data from their respective locations fosters collaboration. Progress can occur more quickly without a single conduit through which all modifications must occur. And because the work is versioned, you need not fear that quality is the trade-off for losing that conduit—if some incorrect change is made to the data, just undo that change.
Subversion是什么？
Subversion是一个自由/开源的版本控制系统。也就是说，在Subversion管理下，文件和目录可以超越时空。也就是Subversion允许你数据恢复到早期版本，或者是检查数据修改的历史。正因为如此，许多人将版本控制系统当作一种神奇的“时间机器”。
Subversion的版本库可以通过网络访问，从而使用户可以在不同的电脑上进行操作。从某种程度上来说，允许用户在各自的空间里修改和管理同一组数据可以促进团队协作。因为修改不再是单线进行，开发速度会更快。此外，由于所有的工作都已版本化，也就不必担心由于错误的更改而影响软件质量—如果出现不正确的更改，只要撤销那一次更改操作即可。
某些版本控制系统本身也是软件配置管理（SCM）系统，这种系统经过精巧的设计，专门用来管理源代码树，并且具备许多与软件开发有关的特性—比如，对编程语言的支持，或者提供程序构建工具。不过Subversion并不是这样的系统。它是一个通用系统，可以管理任何类型的文件集。对你来说，这些文件这可能是源程序—而对别人，则可能是一个货物清单或者是数字电影。
