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Certificates: Certificate "Azure Data Engineer"
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Additional Certificates: Original Microsoft certificate "Microsoft Certified: Azure Administrator Associate"
Certificate "Relational Databases SQL"
Python" certificate
Data Engineer" certificate -
Examination: Practical project work with final presentations
Microsoft certification exam AZ-104: Azure Administrator -
Teaching Times: Full-timeMonday 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.)
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Language of Instruction: German
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Duration: 16 Weeks
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
Relational databases with SQL
Basics of database systems with Access (approx. 3 days)
Redundant data
Data integrity
Normalization
BCNF
DB design
Relationship 1:n, m:n
data types
tables
Primary and foreign keys
Referential integrity
Relationships between relations
Entity relationship model
Index, default value
Restrictions (check)
Queries
Forms, reports
Circular reference
Introduction to SQL Server Management Studio (SSMS) (approx. 2 days)
Overview of
Physical DB design
Creating tables
Data types in MS SQL
Primary Key
Restrictions, default values, diagram, relationships
Backup and restore
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Introduction to DDL (approx. 8 days)
SQL basics
syntax
Commands
Multiple tables
Operators
Flow control
Scalar value functions
Table value functions
System functions
Procedures with and without parameters
Error types
Transactions, locks, DeadLock
DCL - Data Control Language (approx. 1 day)
Logins
User learning
roles
Authorizations
Data types, data import and export (approx. 1 day)
Data type geography
Data export, data import
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Programming with Python
Python basics (approx. 1 day)
History, concepts
Usage and areas of application
syntax
First steps with Python (approx. 5 days)
Numbers
Strings
Date and time
Standard input and output
list, tuple dict, set
Branches and loops (if, for, while)
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Functions (approx. 5 days)
Define your own functions
Variables
Parameters, recursion
Functional programming
Troubleshooting (approx. 0.5 days)
try, except
Intercept program interruptions
Object-oriented programming (approx. 4.5 days)
Python classes
Methods
Immutable objects
Data class
Inheritance
Graphical user interface (approx. 1 day)
Buttons and text fields
Grid layout
File selection
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
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
Changes are possible. The course content is updated regularly.
After this course, you will have in-depth knowledge of Azure configuration and administration. Python and SQL skills complete your profile and you can combine these with the tasks of Data Engineers.
IT and network specialists, (specialist) computer scientists, people with practical experience and good knowledge of IT.
As companies need to manage and structure ever-increasing amounts of data to evaluate and target their business processes, skills in data development and construction are in demand in all industries.
Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.
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).