Data Engineer with ITIL® Foundation (Version 5) and PRINCE2® Project Management Foundation (Version 7)
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. You will also expand your knowledge with ITIL®, a process optimization method, and PRINCE2®, an IT project management method.
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Certificates: Data Engineer" certificate
Certificate "ITIL® Foundation (Version 5)"
Certificate "PRINCE2® Project Management Foundation (Version 7)" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
ITIL® Foundation (Version 5) (Prüfungsvoucher im Kurs enthalten)
PRINCE2® Project Management Foundation (Version 7) (Prüfungsvoucher im Kurs enthalten) -
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: 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
ITIL® Foundation (Version 5)
Important ITIL terms and definitions (approx. 2 days)
Management of digital products and services
Products, services and service offerings
Value creation and service relationships
Service consumers, service providers, sponsors, customers and users
Service quality and service level agreements (SLA)
Utility, warranty, user experience and sustainability
ITIL product and service lifecycle
Continual improvement
The four dimensions of ITIL product and service management (approx. 1 day)
Organizations and people
Partners and suppliers
Information and technology
Value streams and processes
Holistic approach and external influencing factors
The ITIL product and service lifecycle (approx. 1 day)
Discover, Design, Acquire and Build
Transition, Operate, Deliver and Support
Value creation in the product and service lifecycle
Iterative and non-linear use of the lifecycle
The ITIL Value System (approx. 2 days)
Components of the ITIL Value System and ITIL basic principles
Governance, value chain and operating model
Management practices, practice guidelines and continuous improvement
Value orientation, collaboration and optimization
Service operations, releases and problem management
Continuous integration, continuous delivery and continuous deployment
Site reliability engineering (SRE) and observability
Metrics and Critical Success Factors (CSF)
Value stream identification, mapping and management (approx. 1 day)
Value streams and value stream management
Main value streams and supporting value streams
Complexity thinking and workflow optimization
Value stream mapping
ITIL and AI (approx. 0.5 days)
Artificial intelligence (AI) and AI maturity
Generative AI (GenAI) and Agentic AI
AI in the product and service lifecycle
AI governance
ITIL and other frameworks (approx. 0.5 days)
ITIL and DevOps
ITIL and PRINCE2
Project management in the product and service lifecycle
Project work, certification preparation and certification examination (approx. 3 days)
PRINCE2® Project Management Foundation (Version 7)
Introduction to project management based on PRINCE2® (approx. 1 day)
Definition and characteristics of a project
Project control cycle of project management and the six project dimensions
Challenges in project management - why do projects fail?
Advantages of the PRINCE2® project management method
Customer-supplier environments
Projects in a commercial environment
Structure of the PRINCE2® method and its five integrated building blocks
The management products of PRINCE2®
Digital tools and AI-supported analysis in modern project management
The PRINCE2® basic principles (approx. 1 day)
The seven basic principles of PRINCE2®
Statements and contents of the basic principles
Relationship between the basic principles and the PRINCE2® topics
Adaptation of PRINCE2® to the project environment, taking into account digital working methods
The importance of people for PRINCE2® projects (approx. 1 day)
Change management
Leadership and management
Communication in the project
Effects of digital and AI-supported systems on collaboration and change processes
The seven topics of PRINCE2® (approx. 3 days)
Business case (benefits management approach and sustainability management approach)
Organization (project structure, roles and responsibilities)
Creation of plans
Quality planning and quality control
Risk management using modern analysis methods and data-based evaluations
Issue management
Controlling the progress of the project
The seven PRINCE2® processes (approx. 2 days)
Interaction of the seven PRINCE2® processes in the project process
Activities in the respective PRINCE2® processes
Preparing, steering and initiating a project
Controlling a phase
Managing product delivery
Managing phase transitions
Closing a project
Project work, certification preparation and certification examination (approx. 2 days)
Changes are possible, the course content is updated regularly.
You are proficient in processes relating to the consolidation, preparation, enrichment and transfer of data.
You also understand the central concepts of managing digital products and services according to ITIL® Foundation (version 5). You are familiar with the ITIL product and service lifecycle, the ITIL Value System, value streams, value creation and service relationships as well as modern concepts such as AI, automation and continuous improvement and can classify these in an organizational context. You will also be able to work on PRINCE2® projects and be familiar with their processes and terminology. You will also be able to plan and implement IT projects and measure their success.
The course is aimed at people with a degree in computer science, business informatics, mathematics or a comparable qualification.
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.
With knowledge of IT service and project management with ITIL® and PRINCE2®, you have an additional qualification that is in high demand, especially in the IT sector.
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).