Data Engineer and Azure Administration

Data engineers are involved in setting up and optimizing IT structures in companies and implement large data projects by structuring and providing relevant data. The course therefore begins with an introduction to the basics of business intelligence and describes the requirements of data and databases. Finally, data warehouse modeling and ETL are explained in detail and an insight into the use of artificial intelligence in this area is provided. The course 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: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    Microsoft-Zertifizierungsprüfung 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

Fundamentals of Data Engineering and Data Architectures (approx. 2 days)

Tasks and Application Areas in Data Engineering

Fundamentals of Modern Data Architectures and Data Platforms

Fundamentals and Comparison of Cloud-Based Data Architectures

OLTP and OLAP

Processing Structured, Semi-Structured, and Unstructured Data


Requirements Management and Data Modeling (approx. 1 day)

Requirements for Data and Data Sources

Conceptual Data Modeling

Modeling Data Structures and Data Flows

Data Contracts, Data Governance, and Data Lineage


Databases and Data Processing (approx. 1 day)

Database System Architecture

SQL vs. NoSQL vs. NewSQL: A Comparison

Relational Data Modeling

SQL for Querying and Processing Data


Data Warehousing and Modern Data Architectures (approx. 2 days)

Fundamentals and Architecture of Data Warehouse Systems

Dimensional Data Modeling and Schema Design

Facts, Dimensions, and Historical Data Storage

Comparing Data Warehouses, Data Lakes, and Lakehouses

Introduction to dbt

Practical Implementation of Data Models


Data Integration and Data Pipelines (approx. 5 days)

Data Integration and Data Provisioning

ETL and ELT Processes

Design and Orchestration of Data Pipelines

Data Cleaning, Validation, and Data Quality

Batch and Streaming Processing

Practical Application of Airflow and Spark


Programming and Automated Data Processing (approx. 4 days)

Python Environments and Package Management

Data Processing and Transformation with Python

Automation of data processing workflows

Connecting to Different Data Sources and Interfaces

Development of data engineering workflows

Containerization with Docker

AI-powered support in the development and data processing process


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 administration interfaces (Azure Portal, Azure CLI, Azure PowerShell)

Azure Resource Manager (ARM)

Resources and resource groups

Azure Resource Manager Templates (ARM) and Bicep

Use of AI tools to support administrative tasks and scripting


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

Managed identities for Azure resources

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 and resources

Network Security Groups (NSG) for subnets and network interfaces

Azure Bastion

Azure Application Gateway (Layer 7 load balancing)

Local connectivity

Connection Monitor

Network Watcher

Network diagnostics

Integrate a local network into an Azure virtual network

ExpressRoute

Azure Virtual WAN


Implement and manage storage space (approx. 2 days)

Storage accounts

Shared Access Signatures (SAS)

Access keys

Azure storage replication

Microsoft Entra ID authentication

Azure Storage Explorer

AZCopy

Azure Files and Azure Blob Storage

Azure File Sharing

Azure File Sync


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

Azure Virtual Machines (VMs) for high availability and scalability

Azure Resource Manager Templates (ARM) and Bicep

VHD template

Azure hard disk encryption

Azure Key Vault for keys and secrets

VM sizes

Adding disks

Availability zones and availability sets

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

Support for analyzing logs and error messages using AI tools

Backup and restore processes

Backup reports

Azure Backup

Soft delete process

Backup policies

Azure Site Recovery


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 in Python, knowledge of relational databases and SQL, and basic knowledge of Azure administration and network configuration are required.

You have knowledge of data modeling, integration, preparation, and automated processing, and you can design and implement modern data processes.

You can also manage Azure identities and governance, implement storage and provide Azure computing resources. You are proficient in configuring and managing virtual networks as well as monitoring and securing Azure resources.

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

Data engineers develop and maintain data structures and processes that integrate and process data from various sources and make it available for analysis and other applications. As data-driven business processes become increasingly important, these skills are in demand across all industries.

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.