Live online seminar · Databases & Data Integration
SQL fundamentals and relational databases
In plain language Select, join and analyse data safely
Understand data, query it safely and validate results – using standard SQL with Oracle, MySQL and MariaDB examples.
Start with tables, rows and columns, then select, filter, sort, join and aggregate data. Differences between standard SQL, Oracle, MySQL and MariaDB are explained where they matter in practice.

Reliably planned
What is included with this seminar
Current market-standard content is included as a matter of course. CTPM+ makes the transfer to your IT, data and process practice visible.
- 01EntryBuild sound foundations
- 02ApplicationApply methods in practice
- 03SpecialisationDeepen roles and systems
- 04Transfer & coachingImplement a concrete result
Delivery
Choose the right format
Compare delivery, duration, price and configuration. In-person and in-house formats are aligned with your group, location and assignment.
- Duration
- 1 day
- Level
- Foundation
- Location
- Online
- Duration
- 1 day
- Level
- Foundation
- Location
- Academy venue
- Duration
- 1 day
- Level
- Foundation
- Location
- At the client site
Learning content
What you will work on in this seminar
The modules make scope, priorities and intentional boundaries transparent.
Planned learning scope: 1 day. The offered format covers 1 day, including breaks, questions and transfer phases.
Practical module with explanation, exercise, reflection and a reusable transfer result.
Suggested seminar agendaBuilt from this delivery’s learning modules
- Understand relational databases45 minutes
- Select, filter and sort data60 minutes
- Aggregate and group data45 minutes
- Join tables safely75 minutes
- Classify data changes safely45 minutes
- Distinguish standard SQL, Oracle, MySQL and MariaDB45 minutes
- Translate business questions into SQL60 minutes
- Validate results technically and functionally45 minutes
The sequence may be adapted to the group, prior knowledge and questions; the stated learning outcomes remain binding.
Compare 32 additional modulesThese topics are intentionally not included in this seminar and are shown only for comparison.
Current models, tools & applications
Content and learning objective+
Distinguish language models, AI services, copilots and specialised tools by task, data access and degree of integration. Criteria such as output quality, data protection, cost, currency and integration into existing workplaces make selection transparent.
Capabilities, limits & common failure modes
Content and learning objective+
Learn which tasks generative AI can support reliably and where probabilistic output, hallucinations, bias, context limits or outdated knowledge create risk. Common failure modes are recognised, assessed and connected to appropriate checks.
Systematic prompting
Content and learning objective+
Translate unclear work requests into structured prompts containing context, task, inputs, objective, quality criteria and output format. This makes requirements transparent, results easier to compare and follow-up questions more focused.
Improve & reuse prompts
Content and learning objective+
Improve prompts in controlled steps, compare variants and distinguish professional weaknesses from wording or context problems. Proven patterns are versioned, documented and made reusable for similar tasks.
Review & optimise results
Content and learning objective+
Review AI output for professional accuracy, completeness, contradictions, source grounding and fitness for purpose. Checklists, challenge questions and human approval points help correct weak results deliberately.
Text, documents, research & knowledge work
Content and learning objective+
Work on common tasks such as drafting, summarising, comparing, extracting, classifying and preliminary research. Clarify required inputs, result validation and where AI usefully supports the existing workflow.
Confidential information & organisational data
Content and learning objective+
Classify personal, confidential and business-critical information and decide what data an AI service may process. Anonymisation, permissions, provider settings, internal rules and safer alternatives are assessed through practical situations.
Practical examples & exercises
Content and learning objective+
Apply the methods to transparent tasks, compare alternative approaches and reflect on the impact of your decisions. Exercises combine explanation, hands-on work, feedback and a transferable improvement.
Course materials & job aids
Content and learning objective+
Receive and use checklists, structures, examples and concise references that remain useful after the seminar. Materials are not merely distributed; they are explained and related to common application situations.
Workflows & process chains
Content and learning objective+
Map a real workflow with triggers, inputs, roles, decisions, handovers and outputs. Assess where AI can help, which controls are required and how a reliable pilot fits into the process chain.
Use documents & knowledge systematically
Content and learning objective+
Discover existing text, documents and knowledge through source structure, metadata, terminology and suitable search or retrieval approaches. Quality, currency, permissions and the limits of a RAG or knowledge solution are made explicit.
Databases, interfaces, ETL & enterprise software
Content and learning objective+
Place data objects, databases, interfaces, ETL pipelines and enterprise software into one coherent solution view. System boundaries, data flows, responsibilities, error paths and operational requirements are considered.
Quality & control points
Content and learning objective+
Define measurable expectations, validation rules and approval points for inputs, processing and outputs. Sampling, logging, escalation and human accountability create controlled use instead of blind trust.
Enterprise IT & project cases
Content and learning objective+
Work on realistic cases from requirements engineering, business analysis, project management, development, architecture, quality and testing. Roles, system dependencies, trade-offs and technical constraints are explicitly included.
Reusable prompt, analysis & workflow templates
Content and learning objective+
Develop prompt structures, analysis templates and workflow patterns that can be reused with clear inputs, checks and ownership. Versioning and adaptation prevent templates from becoming uncontrolled one-off solutions.
Concrete transfer result
Content and learning objective+
Create a tangible result for your own work, such as a prompt template, analysis, checklist, process sketch or pilot description. Next steps, ownership and success criteria make the transfer actionable.
Adaptation to audience, knowledge & assignment
Content and learning objective+
Before an in-house session, audience, knowledge level, systems, assignment and desired outcomes are aligned. Examples, depth, exercises and transfer tasks are adapted to the actual organisational context.
Collaboration with sector experts
Content and learning objective+
For regulated, safety-critical or highly specialised content, the roles and responsibilities of a dual-instructor team are defined. CTPM covers AI, IT, data, architecture and methodology; the sector expert adds processes, terminology and binding requirements.
Requirements engineering & business analysis
Content and learning objective+
Structure stakeholders, objectives, system boundaries and requirements using suitable elicitation, modelling and documentation techniques. Quality criteria, acceptance conditions, reviews and traceability connect business and delivery.
Software architecture & modernisation
Content and learning objective+
Derive architecture goals from business and quality requirements and structure components, interfaces and responsibilities. Architecture decisions, risks, modernisation steps and transparent documentation are assessed together.
Data modelling, SQL & databases
Content and learning objective+
Transform business concepts and rules into conceptual, logical and relational data models. Keys, relationships, normalisation, integrity, SQL queries and performance are treated as connected design decisions.
ETL, interfaces & data integration
Content and learning objective+
Design the path from source to target systems with mappings, transformations, loading approaches and quality rules. Delta logic, error handling, restart, monitoring, metadata and lineage are considered from the start.
Legacy analysis & knowledge retention
Content and learning objective+
Capture functions, data, interfaces, dependencies, documentation and implicit knowledge in an established solution. Risks and unknown areas become visible so modernisation can proceed incrementally without uncontrolled changes to current behaviour.
Oracle SQL & PL/SQL
Content and learning objective+
Work with Oracle-specific SQL and PL/SQL from data access and transactions to procedures, functions and packages. Exception handling, performance, testing, interfaces and maintainability are connected through realistic database tasks.
Clarify role, assignment and mandate
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Understand stakeholders and interests
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Communicate clearly at eye level
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Prepare and represent decisions
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Address resistance and conflict early
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Create commitment without hierarchy
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Use briefing and debriefing effectively
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Lead under uncertainty and secure transfer
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
The complete professional standard
Fundamentals, current tools, prompting, exercises, output review, privacy, security and responsible use are taught clearly and practically.
More transfer through senior practice
CTPM+ connects learning to roles, documents, knowledge, processes, data, interfaces, architecture and a realistic next implementation step.
An academy that enables learning
We do not merely repeat terminology. We make it usable.
More than 25 years of adult education and thousands of participants in IT and Oracle topics shape our approach: explain clearly, practise together, review critically and transfer safely.
We connect new terminology immediately with plain language and a familiar problem.
You apply the method yourself using a clear example and can ask questions at any time.
We compare results, identify errors and develop understandable quality criteria.
You leave with a template, decision aid or a concrete next step for your work.
For seminars with practical transfer
Example transfer result
A validated SQL query for a business question, including joins, filters, result checks and Oracle, MySQL and MariaDB notes.
The actual result is adapted to the participants’ task, role and permitted data during the seminar.What you will gain
What this live online seminar covers
A practical introduction combining clear database concepts with exercises, business questions and systematic result validation.Participants
Beginners, business users, analysts, developers, testers, requirements engineers and project professionals who need to query data independently.
Included
Live delivery by Stefan Müller, exercise data, SQL scripts, quick reference, working aids and certificate of participation.
Prerequisites
No prior SQL knowledge required. General experience with data, tables or business applications is helpful.
Not included
Production database installation, administration and individual performance tuning are outside this foundation course.