SQL Server 2016/2017 : Développer des modèles de données

Langue : FRRéférence : 20768Durée : 3 jours
Lieu : Esch/AlzettePrix : 1 350.00 € (Euro)
Nos Dates :

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Objectifs :

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

Contenu :

About this course:

The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam 70-768.

Course Outline:

Module 1: Introduction to Business Intelligence and Data Modeling
This module introduces key BI concepts and the Microsoft BI product suite.

After completing this module, students will be able to:
- Describe BI scenarios, trends, and project roles.
- Describe the products that make up the Microsoft BI platform.

Module 2: Creating Multidimensional Databases
This module describes how to create multidimensional databases using SQL Server Analysis Services.

After completing this module, you will be able to:
- Describe considerations for a multidimensional database.
- Create data sources and data source views.
- Create a cube
- Implement security in a multidimensional database.
- Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
- Monitor SSAS performance.

Module 3: Working with Cubes and Dimensions
This module describes how to implement dimensions in a cube.

After completing this module, you will be able to:
- Configure dimensions.
- Define attribute hierarchies.
- Implement sorting and grouping for attributes.
- Implement slowly changing dimensions.

Module 4: Working with Measures and Measure Groups
This module describes how to implement measures and measure groups in a cube.

After completing this module, you will be able to:
- Configure measures.
- Configure measure groups.

Module 5: Introduction to MDX
This module describes the MDX syntax and how to use MDX.

After completing this module, you will be able to:
- Use basic MDX functions.
- Use MDX to add calculations to a cube.
- Use MDX to query a cube.

Module 6: Customizing Cube Functionality
This module describes how to customize a cube.

After completing this module, you will be able to:
- Implement KPIs in a Multidimensional database
- Implement Actions in a Multidimensional database
- Implement perspectives in a Multidimensional database
- Implement translations in a Multidimensional database

Module 7: Implementing a Tabular Data Model by Using Analysis Services
This module describes how to implement a tabular data model in Power Pivot.

After completing this module, students will be able to:
- Describe tabular data models
- Describe how to create a tabular data model
- Use an Analysis Services Tabular 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.

After completing this module, students will be able to:
- Describe the key features of DAX
- Create 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.

After completing this module, students will be able to:
- Describe considerations for data mining
- Create a data mining model
- Validate a data mining model
- Connect to a data-mining model
- Use the data mining add-in for Excel

Pré-requis :

Prerequisites:

Before attending this course, students must have:
- Experience of querying data using Transact-SQL

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

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