Beskrivelse

På dette kursus lærer du at implementere multidimentionelle databaser vha. SQL Server Analysis Services (SSAS) samt at oprette tabulære semantiske datamodeller til analyse vha. SSAS. Du lærer bl.a.:

• At implementere multidimentionelle databaser vha. SQL Server Analysis Services (SSAS)
• At oprette tabulære semantiske datamodeller til analyse vha. SSAS
• At implementere dimensioner i en cube (kubus)
• At anvende MDX-syntaks
• At implementere en tabulær database
• At anvende DAX til at rette forespørgsler til en tabulær model
• At anvende data mining til forudsigende analyse Kurset henvender sig især til professionelle databasemedarbejdere, der skal udfylde rollen som Business Intelligence-udvikler af enterprise BI-løsninger, men også til superinformationsmedarbejdere og dataanalytikere.

Indhold

Module 1: Introduction to Business Intelligence and Data Modeling

• This module introduces key BI concepts and the Microsoft BI product suite.
• Lessons
• Introduction to Business Intelligence
• The Microsoft business intelligence platform
• Lab : Exploring a Data Warehouse Module 2: Creating Multidimensional Databases
• This module describes the steps required to create a multidimensional database with analysis services.
• Lessons
• Introduction to multidimensional analysis
• Creating data sources and data source views
• Creating a cube
• Overview of cube security
• Lab : Creating a multidimensional database Module 3: Working with Cubes and Dimensions
• This module describes how to implement dimensions in a cube.
• Lessons
• Configuring dimensions
• Define attribute hierarchies
• Sorting and grouping attributes
• Lab : Working with Cubes and Dimensions Module 4: Working with Measures and Measure Groups
• This 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 Module 5: Introduction to MDX
• This 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 Module 6: Customizing Cube Functionality
• This module describes how to customize a cube.
• Lessons
• Implementing key performance indicators
• Implementing actions
• Implementing perspectives
• Implementing translations
• Lab : Customizing a Cube Module 7: Implementing a Tabular Data Model by Using Analysis Services
• This module describes how to implement a tabular data model in PowerPivot.
• Lessons
• Introduction to tabular data models
• Creating a tabular data model
• Using an analysis services tabular model in an enterprise BI solution
• Lab : Working with an Analysis services tabular data model Module 8: Introduction to Data Analysis Expression (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 Module 9: Performing Predictive Analysis with Data Mining
• This module describes how to use data mining for predictive analysis.
• Lessons
• Overview of data mining
• Using the data mining add-in for Excel
• Creating a custom data mining solution
• Validating a data mining model
• Connecting to and consuming a data mining model
• Lab : Perform Predictive Analysis with Data Mining