Beskrivelse
Dette kursus er rettet mod dig, der til dagligt arbejder med Business Intelligence og vil lære at udvikle og implementere multidimensionelle og tabular datamodeller med SQL Server Analysis Services (SSAS). Kurset er desuden til dig, der ønsker at implementere en effektiv Business Intelligence løsning, som understøtter dine forretningskrav og et ønske om indsigt i data.
Deltagerprofil
Kurset er for dig der til daglig arbejder med Business Intelligence. Du forventes at have et godt kendskab til relationelle databaser, Transact-SQL og Data Warehouses svarende til kurset Querying Data with Transact-SQL [20761], da kurset er på et højt teknisk niveau.
Indhold
Module 1: Introduction to Business Intelligence and Data Modeling
Introduction to Business Intelligence
The Microsoft business intelligence platform
Module 2: Creating Multidimensional Databases
Introduction to multidimensional analysis
Creating data sources and data source views
Creating a cube
Overview of cube security
Module 3: Working with Cubes and Dimensions
Configuring dimensions
Define attribute hierarchies
Sorting and grouping attributes ...%%%
...
Module 4: Working with Measures and Measure Groups
Working with measures
Working with measure groups
Module 5: Introduction to MDX
MDX fundamentals
Adding calculations to a cube
Using MDX to query a cube
Module 6: Customizing Cube Functionality
Implementing key performance indicators
Implementing actions
Implementing perspectives
Implementing translations
Module 7: Implementing a Tabular Data Model by Using Analysis Services
Introduction to tabular data models
Creating a tabular data model
Using an analysis services tabular model in an enterprise BI solution
Module 8: Introduction to Data Analysis Expression (DAX)
DAX fundamentals
Using DAX to create calculated columns and measures in a tabular data model
Module 9: Performing Predictive Analysis with Data Mining
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
Microsoft Software Assurance Vouchere Kurset kan betales med 3 SA Vouchere.
Underviser Undervisningen varetages af en erfaren underviser fra Teknologisk Instituts netværk bestående af branchens dygtigste undervisere.
Deltagerprofil Kurset er for dig der til daglig arbejder med Business Intelligence. Du forventes at have et godt kendskab til relationelle databaser, Transact-SQL og Data Warehouses svarende til kurset Querying Data with Transact-SQL [20761], da kurset er på et højt teknisk niveau.
Dette kursus er rettet mod dig, der til dagligt arbejder med Business Intelligence og vil lære at udvikle og implementere multidimensionelle og tabular datamodeller med SQL Server Analysis Services (SSAS). Kurset er desuden til dig, der ønsker at implementere en effektiv Business Intelligence løsning, som understøtter dine forretningskrav og et ønske om indsigt i data.
Microsoft Software Assurance Vouchere Kurset kan betales med 3 SA Vouchere.
Indhold Module 1: Introduction to Business Intelligence and Data Modeling
Introduction to Business Intelligence
The Microsoft business intelligence platform
Module 2: Creating Multidimensional Databases
Introduction to multidimensional analysis
Creating data sources and data source views
Creating a cube
Overview of cube security
Module 3: Working with Cubes and Dimensions
Configuring dimensions
Define attribute hierarchies
Sorting and grouping attributes
Module 4: Working with Measures and Measure Groups
Working with measures
Working with measure groups
Module 5: Introduction to MDX
MDX fundamentals
Adding calculations to a cube
Using MDX to query a cube
Module 6: Customizing Cube Functionality
Implementing key performance indicators
Implementing actions
Implementing perspectives
Implementing translations
Module 7: Implementing a Tabular Data Model by Using Analysis Services
Introduction to tabular data models
Creating a tabular data model
Using an analysis services tabular model in an enterprise BI solution
Module 8: Introduction to Data Analysis Expression (DAX)
DAX fundamentals
Using DAX to create calculated columns and measures in a tabular data model
Module 9: Performing Predictive Analysis with Data Mining
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
