Master’s in Business Informatics at JKU Linz
Services
Data
Architecture
Craft scalable, secure, and future-ready data architectures that support your data strategy. A well-thought design ensures seamless integration, performance, and the ability to adapt to your evolving business requirements.
Scalable System Design
Robust architecture grows with your business, ensuring consistent performance as data volumes increase.
Technology Selection
Choosing the right technologies is key. We help you navigate options, balancing cost, performance, and scalability. We specialize in building modern data platforms by utilizing Microsoft technologies.
Compliance and Security
Modern data architectures address data security and compliance end to end. Your data is secured in motion as well as in rest.
Legacy Modernization
Transition your existing systems to modern, efficient architectures that support new technologies and processes.
Data Engineering & Automation
Transform your raw data into actionable assets with intelligent engineering and cutting-edge automation tools. Streamline workflows, reduce manual effort, and ensure data is always ready for analysis.
ETL Development
We build efficient ETL pipelines, ensuring clean, structured, and reliable data from various sources.
Data Modeling
Choose the right modeling paradigm for your unique needs. Depending on requirements, data volume, technology and organizational context we rely on relational, dimensional, or Data Vault modelling techniques – or hybrid combinations of the mentioned. We design models that are technically sound and – most importantly – relate to your business processes.
Automation Frameworks
Modern and efficient data warehousing efforts rely on automating repetitive processes. Project members should be able to focus on collaboration with business stakeholders and delivering data assets, instead of being stuck with simple recurring development tasks.
Cloud
Data Solutions
Experience the power and flexibility of the cloud. We build native cloud data solutions by leveraging Microsoft’s Azure offerings or Microsoft Fabric.
Cloud Migration
Plan and execute cloud migrations with minimal downtime ensuring a smooth transition to platforms like Azure SQL DB, Synapse Analytics or Fabric.
Data Integration
Build seamless pipelines with Azure Data Factory for extracting, transforming, and loading data from multiple sources.
Microsoft Fabric
Harness the power of Microsoft’s Fabric SaaS solution for real-time data processing, governance, and streamlined workflows. Spend your time on implementing requirements instead of manually configuring, integrating and securing the separate PaaS cloud offerings into a complete solution.
Cost Optimization
Optimize your cloud environment to balance performance and cost.
Business
Intelligence
Turn your data into actionable insights with custom dashboards, advanced analytics, and user-friendly managed self-service BI tools. We build clear, impactful visualizations and reports built in Power BI to empower decision-makers.
Interactive Dashboards
Create intuitive Power BI dashboards that translate complex data into easy-to-understand visuals.
Requirements Engineering
We work closely with stakeholders to ensure BI solutions align with business needs and deliver actionable results.
Power BI Modeling
Design Power BI semantic models that serve reporting requirements while running efficiently and smooth.
Performance
Tuning
Maximize the efficiency of your data pipelines and reports. We take a close look at your slow-running SQL queries and make sure your data operations are running at peak performance.
SQL Query Optimization
Improve the performance of slow-running queries, reducing processing times and increasing efficiency. This includes reviewing or designing a well-thought indexing and statistics update strategy on SQL Server or Azure SQL databases.
Scalability Solutions
We design and implement strategies to handle increased workloads and growing data volumes.
Proactive Monitoring
Better act proactively than being forced to re-act. Implement tools and processes for real-time monitoring and performance tracking, ensuring issues can be addressed before they escalate.
Data Vault 2.1 Methodology
Build enterprise-scale solutions by leveraging a flexible, scalable, and auditable data architecture. Our certified consultant will help you understand the methodology, build the model, and master the implementation.
Data Vault Modeling
Develop robust Data Vault models that reflect your business and preserve scalability, auditability, adaptability.
DWH Automation
Implement automation solutions to reduce manual development efforts and increase efficiency.
Recommended Practices
We help you understand and effectively apply Data Vault recommended practices both covering the well-established Data Vault 2.0 standards as well as the new learnings presented in the upgraded Data Vault 2.1 specifications.
Integration & Migration
Seamless integration of Data Vault into existing DWH environments or migration from traditional models to Data Vault 2.1.
Build Data Analytics Solutions that work and keep working. and scale. and keep working. and adapt.
About
Mag. Rudolf Hummer
Rudolf is the founder and brain of Hummdata. He is a proven expert in business intelligence, data analytics, data engineering and data architecture with over 15 years of experience in implementing modern data platforms.
He focusses on implementations leveraging the Microsoft technology stack (Azure, Power BI, SQL Server) as well data architectures and methodologies such as Data Vault 2.0 and its latest updated standards version Data Vault 2.1.
In his daily work, he values close collaboration and communication with business stakeholders and strives for creating sustainable solutions.