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About
A professional world, viewed through a personal lens.
A place for thinking about data, architecture, analytics and AI as parts of one connected system.
Continue the About story↓ANDRÁS PAKÓ
DATA & AI ARCHITECT
Data alone is not yet information.
Complex data environments and platforms create real value when they are designed around the information they are meant to produce. That is how growing volumes of data become understandable, reliable and usable.
Continue the storyFrom data to informationPerspective
Connections give meaning to the details.
At the beginning of my career, IT was still treated as a unified field. Networks, servers, applications and data were different perspectives on the same operation.
That experience continues to shape the way I think. The true role of a technology becomes visible in its context: in how it connects to other systems, data, business concepts and human decisions. For me, architecture gives these relationships a clear and sustainable structure.
Professional journey
From the full scope of IT, through the world of data, to setting professional direction.
1999
Starting from IT as a whole
I began as a network administrator in the IT organisation of Hungary’s public employment service. From networks, my path led to servers, applications and development. This was where databases, data and the relationships between them first came into focus.
2007
Data becomes a system of its own
We began building the first data warehouse for the national employment organisation. It turned employment and financial data into information for weekly and monthly reporting. The public employment data warehouse later grew from the same foundation.
Private sector
New environments, broader connections
As a BI expert, I worked in financial, telecommunications and regulatory environments. Enterprise reporting, data integration and database expertise became connected to increasingly complex business questions.
Enterprise scale
From BI to integration
As an internal expert, I worked with HR data, BI systems, database administration and integration. International automotive projects followed, where the same professional foundation continued to develop in large enterprise environments with German teams.
Today
From implementation to direction
As a Domain Owner, I now help set professional direction, shape architecture and support the development of a team. Data, technology and business purpose can therefore connect as parts of one operating system.
Way of working
Understand first. Then organise. Finally, build.
- 01
Context
A technology decision begins with understanding the business purpose, the organisational environment and the way the organisation already operates.
- 02
Shared language
Clear concepts and models create a common foundation for thinking across business and technology.
- 03
Connected system
The data model, platform, integration and analytics are successive parts of the same journey towards information.
- 04
Direction
Architecture gives implementation a usable framework while leaving room for professional collaboration and growth.
A different focus
The same attention, through different tools.
Photography has long been part of my life, and over time it became a professional path as well: I earned a formal qualification as a photographer.
In image-making, the relationship between light, form, timing and detail creates the whole. This way of seeing is close to how I think about architecture. In both fields, attention, structure and consciously designed relationships make what we see understandable.
Present
Knowledge becomes valuable when it can be passed on.
Today I work with enterprise Data & AI architectures, data platforms and the data foundations needed for AI. Alongside setting professional direction, organising and sharing knowledge is becoming an increasingly important part of my work.
andraspako.hu gives that work a space of its own. Projects, models, professional explanations and more personal perspectives connect here as parts of a professional system that continues to evolve.
FROM DATA TO INFORMATION
Technology creates value as part of a connected system.
The business question, data model, platform and analytics are successive parts of the same journey: from data to usable information.
Data Architecture
A coherent data architecture gives business concepts a shared meaning and organises data flows and systems into a sustainable structure.
- Shared business language
- Transparent data relationships
- Sustainable models
Data Platforms
A coherent data platform enables reliable and consistent data flow from creation to use.
- Reliable data journey
- Adaptable operation
- Reusable data foundation
Analytics
Shared semantics and consistent metrics turn data into understandable, comparable information that supports decisions.
- Consistent meaning
- Comparable metrics
- Decision-ready perspectives
AI
AI creates lasting value when it is built on well-structured data, a clear business purpose and integration that fits the enterprise.
- Well-structured data assets
- Clear business purpose
- Enterprise-ready integration
WHAT MAKES IT A SYSTEM
The quality of information grows from the quality of its connections.
Data, concepts, models and decisions are parts of the same system. Their value emerges through clear relationships and shared meaning.
Structure gives data its context.
Ordered relationships show what data means, where it comes from and how it can be used consistently.
Shared concepts create a common basis for decisions.
Consistent meanings align business and technology perspectives, so the same information can be interpreted in the same way.
Architecture connects intent with operation.
Strategy, data models, platforms and analytics build on one another to form a usable system.
Sustainable AI begins with a well-structured data foundation.
Reliable data and a clear business purpose provide a stable framework for enterprise AI.
ANONYMISED CASE STUDIES
Architecture finds its meaning in real operation.
Four complex situations in which data, technology and organisational operation connect as one system.
Hybrid enterprise data platform
Bringing operational and analytical data flows into one architecture across cloud and on-premise systems.
Open case studyDWH Light — reusable DWH framework
Organising recurring ingestion, historisation and modelling patterns into a shared framework for consistent delivery.
Open case studyEnergy and IoT data platform
Reliable processing of time-series and event data, connecting operational and analytical use.
Open case studyData Governance & Data Operations
Bringing data ownership, quality principles and operating processes into one system so that data management becomes part of everyday work.
Open case study
WRITING
The thinking behind decisions is part of the architecture.
Articles bring structure to complex Data & AI concepts through examples, models and visual explanations.
Canonical Data Model — from a shared language to analytics
A connected path from business concepts through logical and physical models and mappings to analytical use.
- Data Modelling
- Architecture
From an idea to a live website — how andraspako.hu was built
The journey of a personal professional site from its first Markdown documents through visual design and Astro development to automated publishing.
- Architecture
- Web
Bringing development in-house does not create capacity
Reducing supplier spend does not, by itself, create an internal development team, capacity or operating environment.
- Architecture
- Strategy
Not every server belongs in the cloud
When does cloud create real value, and when does it merely move the same problems into a different billing model?
- Architecture
- Cloud