Course Overview
In this 5-day hands-on workshop, participants will learn how to build a data warehouse solution using Microsoft SQL Server 2022 components.
After an architecture overview and modeling approaches of a data warehouse system, you will design a data model, develop loading routes with the ETL tool Integration Services and model a multidimensional cube with Analysis Services. Finally, you will get to know Reporting Services and Power Bi as visualization tools.
At the end of the course, you will have independently developed the prototype of a data warehouse system.
Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
Who should attend
The target group is developers and architects who are planning to set up a data warehouse system.
You will get an overview of the layers of a DWH system and finally know the interaction of the different components.
Prerequisites
Basic knowledge in the areas of:
- Relational databases
- Language TSQL
Course Content
Overview of a data warehouse architecture
- Understanding the Layer Stage, Core Datawarehouse and DataMart
Basics of a data warehouse database
- Special features of a data warehouse database
- Getting to know data models Starschema, Snowflag Schema, Full Historization and Data Vault models
- Modeling of dimension and facts
- Optimization concepts of large databases (partitioning, compression, indexing)
Building a data warehouse load with Microsoft Integration Services
- Introduction to Integration Services
- Getting to know the SSIS transformation tasks
- Parameterization and configuration of Integration Services packages
- Deployment and operation of Integration Services
Implementation of a quality assurance layer
- Introduction of Data Quality Services
- Implementation of a Customized Quality Assurance with Integration Services
Creation of DataMarts with Microsoft Analysis Services (Multidimensional and Tabular)
- Creation of Cubes
- Deployment of Cubes
- Updating Cubes
Overview of Reporting Tools
- Introduction to Power BI and Paginated Reports (SSRS)
Anglais
Allemand
Allemagne
Moyens Pédagogiques :