Developing SQL Data Models (part of MCSA SQL 2016 BI)

Training

Inhouse

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£ 796 VAT exempt

Description

  • Type

    Training

  • Methodology

    Inhouse

  • Duration

    67 Days

  • Start date

    Different dates available

All courses available also on-site

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.

Facilities

Location

Start date

Inhouse

Start date

Different dates availableEnrolment now open

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Subjects

  • Computing
  • Server
  • IT
  • Database
  • SQL
  • Database training
  • MCSA training
  • MCSA
  • Business Intelligence
  • SQL Data Model

Teachers and trainers (1)

Matthew Bennett

Matthew Bennett

Instructor

Director - MBIT Training Ltd Microsoft Certified Trainer, MCSA, MCITP, MCDST, Microsoft Partner Microsoft Dynamics consultant CompTIA A+ / Network+ / Security+ Author: Network+ study guide, A+ study guide (currently writing)

Course programme

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

(cited from Microsoft Learning website)



Developing SQL Data Models (part of MCSA SQL 2016 BI)

£ 796 VAT exempt