Data Engineer and Azure Administration

Free of cost

by funding

The course covers the structuring and provision of data as well as the use of artificial intelligence (AI) in this area. It also shows how to manage Azure identities and teaches how to set up storage space and configure virtual networks.
  • Certificates: Data Engineer" certificate
    Original Microsoft certificate "Microsoft Certified: Azure Administrator Associate"
  • Examination: Practical project work with final presentations
    Microsoft certification exam AZ-104: Azure Administrator
  • Teaching Times: Full-time
    Monday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
  • Language of Instruction: German
  • Duration: 8 Weeks

Data Engineer

Basics of Business Intelligence (approx. 2 days)

Fields of application, dimensions of a BI architecture

Basics of business intelligence, OLAP, OLTP, tasks of data engineers

Data Warehousing (DWH): handling and processing of structured, semi-structured and unstructured data


Requirements management (approx. 2 days)

Tasks, objectives and procedures in requirements analysis

Data modeling, introduction/modeling with ERM

Introduction/modeling in UML

- Class diagrams

- Use case analysis

- Activity diagrams


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Databases (approx. 3 days)

Basics of database systems

Architecture of database management systems

Application of RDBMS

Implementation of data model in RDBMS, normal forms

Practical and theoretical introduction to SQL

Limits of relational databases, csv, json


Data Warehouse (approx. 4 days)

Star Schema

Data modeling

Creation of Star Schema in RDBMS

Snowflake Schema, basics, data modeling

Creation of Snowflake Schema in RDBMS

Galaxy Schema: Basics, data modeling

Slowly Changing Dimension Tables Type 1 to 5 - Restating, Stacking, Reorganizing, mini Dimension and Type 5

Introduction to normal, causal, mini and monster, heterogeneous and sub dimensions

Comparison of state and transaction oriented

Fact tables, density and storage from DWH


ETL (approx. 4 days)

Data Cleansing

- Null Values

- Preparation of data

- Harmonization of data

- Application of regular expressions

Data Understanding

- Data validation

- Statistical data analysis

Data protection, data security

Practical structure of ETL routes

Data Vault 2.0, basics, hubs, links, satellites, hash key, hash diff.

Data Vault data modeling

Practical structure of a Data Vault model - Raw Vault, practical implementation of hash procedures


Project work (approx. 5 days)

To consolidate the content learned

Presentation of the project results

Microsoft Azure Administration

Prerequisites for Azure administrators (approx. 1 day)

Azure portals (including PowerShell)

Resource Manager

Resources and resource groups

Azure templates (bicep files)


Managing Azure identities and governance (approx. 2 days)

Microsoft Entra ID

Users and groups

Device settings

Mass user updates

Guest accounts

Self-service password

Role-based access control (RBAC)

Access assignments

Directories

Subscriptions and governance: Azure policies, resources, tags

Cost management

Management groups


Configure and manage virtual networks (approx. 4.5 days)

Virtual networks

VNET peering

Private and public IP addresses, network routes, network interfaces, subnets and virtual networks

Name resolution: Azure DNS

Secure access to virtual networks

NSG to a subnet or network interface

Azure Bastion service

Load balancing with Application Gateway

Local connectivity

Network Performance Monitor

Network Watcher

Issues with external networks

Integrating a local network into an Azure virtual network

ExpressRoute

Azure WAN


Implement and manage storage space (approx. 2 days)

Storage accounts

Access signature

Access keys

Azure storage replication

Azure AD authentication

Azure Storage Explorer

AZCopy

Azure Files and Azure Blob Storage

Azure File Sharing

Azure File Synchronization Service


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Provisioning and managing Azure computing resources (approx. 3.5 days)

Virtual Machines (VMs) for high availability and scalability

Azure Resource Manager template (ARM)

VHD template

Azure hard disk encryption

VM sizes

Adding data disks

Configuring the network

Containers

Container apps

Azure Container Instances (ACI)

Web apps


Monitoring and securing Azure resources (approx. 2 days)

Azure Monitor

metrics

Log Analytics

Diagnostic settings

Application Insights

Backup and restore operations

Backup reports

Azure backup service

Soft delete operation

Backup policies

Azure Site


Project work (approx. 5 days)

To consolidate the content learned

Presentation of the results

Certification exam AZ-104: Microsoft Azure Administrator



Changes are possible. The course content is updated regularly.

Programming skills, experience with databases and basic knowledge of Azure administration and network configuration are required.

You are proficient in processes relating to the consolidation, preparation, enrichment and transfer of data.

You can also manage Azure identities and governance, implement storage and provide Azure computing resources. You will be able to configure and manage virtual networks and Azure resources and monitor and secure them.

(Specialist) computer scientists, IT and network specialists, people with practical experience and good knowledge in the IT sector (also career changers).

Data engineers are the interface between the specialist and IT departments. As more and more large and medium-sized companies are using data analysis, they are in demand in industry and commerce as well as in the service and finance sectors.

The globally standardized and recognized Microsoft certifications are among the most important manufacturer certifications with which you can improve your career prospects on the job market across all industries. Specialists with the relevant knowledge are in demand at both large and medium-sized companies.

Didactic concept

Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).

You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.

 

Virtual classroom alfaview®

Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.

 

The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.
Contact
We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.