Data warehouse consulting for modern, open architectures
Hybrid data warehouse solutions with Snowflake, Apache Iceberg, Qlik Talend & more
In an increasingly complex IT landscape, companies need scalable and open data architectures. Our focus is on customized data warehouse consulting for modern, hybrid scenarios – from the initial architecture decision through to operational implementation.
We combine proven methods such as Data Vault and Unified Star Schema with platform expertise in Snowflake, Apache Iceberg, Databricks, Exasol, Qlik Talend Cloud or Azure Fabric. Whether cloud data warehouse, on-premise or hybrid solution – our team implements stable, auditable and high-performance architectures.
As a Qlik Talend Elite Partner and multiple award-winning Regional Data Integration Partner of the Year we also bring in-depth expertise in data integration and transformation – even for highly regulated industries.
Modern DWH architectures at a glance
Depending on the data strategy, toolset and business requirements, different architecture models are suitable for your data warehouse – from classic core, data vault and lakehouse to streaming and logical virtualization.
🏛️ Classic data warehouse
Proven, central DWH architecture with stable ETL processes, high data quality and good governance – ideal for long-term BI structures.
🚀 Agile warehouse (data vault)
Flexibly expandable data warehouse based on Data Vault – incremental, audit-proof and ideal for agile teams.
☁️ Cloud-native Lakehouse
SQL analysis, open formats & cost-efficient storage in one – e.g. with Snowflake or Databricks. ➤ Comparison Lakehouse vs. DWH
🔀 Hybrid architectures
Combine on-premise and cloud – for step-by-step migration or compliance-compliant workloads with a high degree of integration.
🔍 Logical data warehouse
Data access without physical storage through data virtualization – e.g. with Denodo or Data Virtuality.
📡 Streaming architecture (Kappa)
Analyze data streams directly instead of storing them – ideal with Kafka & Confluent. ➤ To the Kappa architecture
Typical use cases in data warehouse practice
From reporting to AI forecasts: our customers implement these fields of application with modern data warehouse architectures.
📊 Group-wide reporting & BI
Standardized KPI reports and self-service analyses with Power BI, Tableau or Qlik – based on consolidated data models.
⚙️ Automated data integration
Consistent ETL/ELT processes with Qlik Talend Cloud and dbt – for reliable data from SAP, CRM, web & more.
📁 Historization & audit trails
With Data Vault, changes can be tracked in an audit-proof manner – e.g. for regulatory requirements.
💡 AI forecasts & Lakehouse training
Modern lakehouse architectures enable machine learning workflows – for example with Databricks or Snowflake ML.
📦 Master data maintenance & product data
Master data management for e-commerce, production and CRM – centrally managed & automatically distributed.
📡 Real-time analytics with Kafka & Confluent
Respond to events in real time with streaming data pipelines – e.g. in logistics, IoT or customer service.
Data warehouse projects in use
🌐 Phoenix Contact
Cloud-based data warehouse with Azure & Snowflake for uniform management of key figures worldwide.
Find out more →🏥 Myneva Group
Centralized reporting for social institutions with Talend & Data Vault for audit compliance.
Find out more →🛒 Porta
Real-time data from the e-commerce channel flows into a central Snowflake solution with Data Vault.
Find out more →🔋 Veolia Umweltservice
Cloud DWH for logistics & disposal with Qlik Talend and Azure – incl. automation & governance.
Find out more →💄 Cosnova
Data integration for reporting & trend analyses in the cosmetics trade with Snowflake and BI connection.
Find out more →🧠 Generali
Data Vault 2.0 for rule-based harmonization of complex data structures for actuarial evaluations.
Find out more →💰 Data Lakehouse: Is it worth it for your company?
Calculate the potential savings and efficiency gains from modern data warehouse architectures in just a few steps.
🚀 Request DWH consulting now
Our experts will show you in a practical way how modern data warehouse architectures can give you a competitive advantage - whether with Snowflake, Databricks, Apache Iceberg or Qlik Talend.
- ✅ Individual DWH strategy analysis
- ✅ Technology comparison & architecture proposal
- ✅ Feedback within 24 hours