Programming & relational data
When meaning had to be constructed through code, files, schemas and carefully written queries.
Enterprise systems · Artificial intelligence · Human understanding
Where technology meets
human understanding.
I draw on a career spanning the evolution from programmed data processing and relational databases to SAP HANA, Microsoft Fabric and AI—making complex systems clearer, more practical and more meaningful.
Veera Babu TiragatlaSenior IT Consultant · Melbourne, Australia
Data
Systems
Decisions
AI
The purposeMeaning
25 yearsacross technology evolution
DBMS → DW/ETL → BI → AIevolving through SAP HANA, Snowflake and Microsoft Fabric
MelbourneAustralia
Technology moves data.
People create meaning.A career across the data evolution
I have watched data move from a technical task to a participant in how we think.
Warehousing, ETL & BI
As organisations learned to consolidate information and turn historical data into shared reporting.
SAP & in-memory systems
When SAP HANA changed expectations around speed, integration and real-time enterprise insight.
Fabric, cloud & AI
Where data engineering, analytics and intelligence increasingly operate as one connected environment.
For years, we built systems to process data. Now we are building systems that participate in how we think.
What I explore
Systems are powerful only when people can understand and use them.
Enterprise Data & Decisions
SAP HANA, Microsoft Fabric, data architecture, integration, governance and the path from reporting to decision intelligence.
Enterprise AI & Systems Thinking
How AI behaves inside real organisations—and why context, trust, ownership and alignment matter more than hype.
Technology & Human Understanding
Questions about intelligence, consciousness, attention and wisdom as machines become more present in human decisions.
Selected insights
Practical experience, examined carefully.
New cornerstone
From Data Processing to Decision Intelligence
What changed across twenty-five years of data systems—and what did not.
Signature perspective
Integration Is Solved. Understanding Isn’t.
Connected systems move information efficiently. They do not guarantee that people agree on what it means.
Read on Medium →Enterprise AI
AI Didn’t Just Evolve. The World Around It Finally Matched It.
Why usable data, invisible compute and human interaction made AI feel suddenly present.
Read on Medium →SAP transformation
From ECC to Cloud ERP: The Migration Blind Spots Few Discuss
The disruption that matters most is often behavioural, operational and hidden from the project plan.
Read the insight →Research & projects
Research, architecture and published work.
Architecture project
SAP HANA to Microsoft Fabric Migration
View on GitHub →
Research
Business Intelligence in Sustainable Practices
View on ResearchGate →
Research identity
ORCID 0009-0000-7088-0144
View ORCID record →
The aim is not to collect disconnected credentials. It is to make experience, thinking and technical work reinforce one another.
One body of work · Multiple ways to explore it
A connected place to explore the same questions in different forms.
A question can be explored as an article, a short explanation, a technical demonstration or a professional conversation.
Read
Medium
Articles on data systems, enterprise AI and how technology changes decision-making.
Explore articles → Watch YouTubeShort, clear visual explanations—building toward deeper series on systems, intelligence and consciousness.
Visit the channel → Build GitHubArchitectures, demonstrations and documented projects that turn professional thinking into visible evidence.
View projects → Connect LinkedInProfessional observations, practical lessons and conversations with the enterprise technology community.
Join the conversation → Research ResearchGate & ORCIDPublished work and a durable research identity connecting business intelligence with sustainable decisions.
Review research →Different formats. One purpose: making complex technology clearer and more useful.
Continue the conversation
Let’s make complex systems easier to understand—and more useful to the people they serve.
Follow my work on enterprise data, AI, systems thinking and human understanding.