Karlebovej 91, 3400 Hillerød | Krajbjergvej 3, 8541 Skødstrup
70 22 29 29
08:30 - 17:00

Developing SQL Data Models MOC 20768 (70-768)

  • sep 02
    mandag 02/09/2019 - onsdag 04/09/2019
    09:00 - 16:00 Hillerød
    • Afholdelsesgaranti
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • sep 02
    mandag 02/09/2019 - onsdag 04/09/2019
    09:00 - 16:00 Aarhus
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • okt 07
    mandag 07/10/2019 - onsdag 09/10/2019
    09:00 - 16:00 Hillerød
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • nov 04
    mandag 04/11/2019 - onsdag 06/11/2019
    09:00 - 16:00 Hillerød
    • Afholdelsesgaranti
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
  • nov 06
    onsdag 06/11/2019 - fredag 08/11/2019
    09:00 - 16:00 Aarhus
    • Kr.13,195.00 ekskl. MOMS
    Ekskl. moms
Er der ingen af disse datoer som passer dig? Foreslå en anden dato

Kursusinfo

  • Dette kursus varer 3 dage
  • Der medfølger kursusmateriale til dette kursus
  • Dette kursus koster 4 klip på dit klippekort.
  • Fuld forplejning (Morgenmad, frokost, kage, kaffe og sodavand ad libitum)
  • Fuld beståelsesgaranti er inkluderet i prisen - Læs mere her
  • Eksamen er inkluderet i prisen
  • Med i prisen hører Practice Test
  • Du har i alt adgang til din kursus-pc i 3 uger

Varighed

Dette kursus varer 3 dage

Materialer

Der medfølger kursusmateriale til dette kursus

Klip på klippekort

Dette kursus koster 4 klip på dit klippekort.

Forplejning

Fuld forplejning (Morgenmad, frokost, eftermiddagskage samt kaffe og sodavand ad libitum)

Garanti for beståelse

Fuld beståelsesgaranti er inkluderet i prisen - Læs mere her

Eksamen

Alle eksamensforsøg er inkluderet i prisen

Practice Tests

Med i prisen hører Practice Test

Remote adgang

Du har i alt adgang til din kursus-pc i 3 uger

Microsoft Vouchers

5 vouchers + 4.950 kr. for Certificeringspakken.
Læs mere her

Download PDF

Hen PDF om kurset her

"Developing SQL Data Models" er et af de nye certificeringsrettede SQL Server 2016 kurser fra Microsoft. I alt kommer der 6 nye certificeringer, som leder op til 3 nye Microsoft MCSA SQL Server 2016 titler. For at opnå en MCSA SQL Server 2016 skal man bestå 2 eksamener.

 "Developing SQL Data Models" indgår som andet kursus i titlen: MCSA SQL Server 2016 Business Intelligence Development, som du kan læse mere om her

About this course

This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS.

Audience profile
The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions. Primary responsibilities will include:
Implementing multidimensional databases by using SQL Server Analysis Services
Creating tabular semantic data models for analysis by using SQL Server Analysis Services

The secondary audiences for this course are ‘power’ information workers/data analysts.

At course completion
After completing this course, students will be able to:

Describe the components, architecture, and nature of a BI solution
Create a multidimensional database with analysis services
Implement dimensions in a cube
Implement measures and measure groups in a cube
Use MDX syntax
Customize a cube
Implement a tabular database
Use DAX to query a tabular model
Use data mining for predictive analysis

ourse Outline

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
After completing this module, you will be able to:
Describe the concept of business intelligence
Describe the Microsoft business intelligence platform

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
After completing this module, you will be able to:
Use multidimensional analysis
Create data sources and data source views
Create a cube
Describe cube security

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
After completing this module, you will be able to:
Configure dimensions
Define attribute hierarchies.
Sort and group attributes

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
After completing this module, you will be able to:
Work with measures
Work with 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
After completing this module, you will be able to:
Describe the fundamentals of MDX
Add calculations to a cube
Query a cube 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
After completing this module, you will be able to:
Implement key performance indicators
Implement actions
Implement perspectives
Implement translations

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
After completing this module, you will be able to:
Describe tabular data models
Create a tabular data model
Be able to use an analysis services tabular data model in an enterprise BI solution

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
After completing this module, you will be able to:
Describe the fundamentals of DAX
Use DAX to create calculated columns and measures in a tabular data model

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
After completing this module, you will be able to:
Describe data mining
Use the data mining add-in for Excel
Create a custom data mining solution
Validate a data mining solution
Connect to and consume a data mining solution

Lignende kurser

Perform Cloud Data Science with Azure Machine Learning 20774 (70-774) Skriv dig op som interesseret til dette kursus
SQL Programmering Grundkursus 09 sep
Developing SQL Databases MOC 20762 (70-762) 18 nov
Get (well) started with BIML Skriv dig op som interesseret til dette kursus
MCSA SQL Server 2016 Business Intelligence Development (70-767 & 70-768) Skriv dig op som interesseret til dette kursus