The course is intended for anyone who wants to create professional data analysis using Analysis Services. Participants acquire skills using appropriate data sources, creating cubes, measures, dimensions, KPIs and other techniques to analyze [...]
  • GOC641
  • Duration 3 days
  • 30 ITK points
  • 2 terms
  • Praha (19 200 Kč)

    Brno (19 200 Kč)

    Bratislava (825 €)

  • Intermediate

The course is intended for anyone who wants to create professional data analysis using Analysis Services. Participants acquire skills using appropriate data sources, creating cubes, measures, dimensions, KPIs and other techniques to analyze data.

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  • The course is intended for database specialists and analysts who are tasked with advanced data analysis and want to take advantage of technology SQL Server Analysis Services
  • Describe Analysis Services
  • Create multidimensional databases
  • Work with cube and create dimensions
  • Work with measures and measure groups
  • Descripe transactions and concurrency
  • Use basic syntax of MDX language
  • Extend cube attributes
  • Analysis Services mantenance
  • Data mining overview
  • Use basic syntax of DAX language
  • Analysis Services Tabular model
  • How to choose right model
  • Basic knowledge of the Microsoft Windows operating system and its core functionality
  • Working knowledge of Transact-SQL
  • Basick knowledge of data warehouses
Analysis Services Overview
  • Overview
  • Basic concepts
Multidimensional database
  • Datasource
  • Datasource view
  • Creation of cubes and dimensions
Advanced techniques of cube and dimension creation
  • Advanced cube creation
  • Advanced dimension creation
Work with measures
  • Measures
  • Measure groups
MDX fundamentals
  • MDX basic concepts
  • MDX basic syntax
  • Calculated members
Cube extensions
  • KPI
  • Actions
  • Perspectives
  • Translation
Analysis Services management
  • Deploy
  • Security
  • Processing
  • Automating tasks
Datamining fundamentals
  • Datamining structures
  • Datamining models
Datamining fundamentals
  • Datamining structures
  • Datamining models
PowerPivot
  • PoverPivot overview
  • How to create InMemory model using Excel
DAX fundamentals
  • Extending data model using DAX
  • Advanced DAX
  • Using DAX on agregated level
Analysis Services Tabular model
  • Working with Tabular model
  • Tabular vs. multidimensional
  • Tabular model maintenance
How to choose right data model
  • Model comparsion
  • Discusion with students
        Current offer
        Training location
        Course language

        The prices are without VAT.