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微软数据库考试70-768: Exam Ref 70-768 Developing SQL Data Models
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上传时间: 2018-11-21
详细说明： 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 ...展开详情收缩
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