Lakehouse Architectures on European Servers: A New Perspective for Regulated Industries

Ein Blogartikel von:

Christian Gilcher

Christian Gilcher

Christian ist als Gründer und CTO Takt- und Ideengeber in Personalunion bei der ValueCloud. Er hat als IT Manager mehrere Jahre hinweg die Untiefen klassischer Enterprise-IT kennen gelernt und nutzt sein tiefes Verständnis von System Design und komplexen Software Architekturen, um moderne, Cloud native Lösungen zu konzipieren, die hohe Leistungsfähigkeit mit Robustheit und Sicherheit kombinieren.

Lakehouse Architectures on European Servers: A New Perspective for Regulated Industries

The digital landscape is constantly evolving, and with it, the ways businesses manage and leverage their data. One such development is the emergence of the ‘Lakehouse’ architecture – a new paradigm that combines the best attributes of data lakes and data warehouses. Built using technologies such as S3, Iceberg, and Trino, and hosted on European servers to ensure EU-level compliance, these architectures offer significant value across several industries and use cases.

Financial Services

Financial institutions generate enormous volumes of data daily. From transaction data to customer interaction records, every bit of information holds insights that can drive decision-making. Lakehouse architectures allow these institutions to store, manage, and analyze diverse data in one central location. Regulatory compliance, a crucial factor in the industry, is made simpler by using European servers to ensure data privacy according to GDPR rules.

Use Case: Risk management can be significantly improved using Lakehouse architecture. Financial institutions can leverage predictive analytics to assess customer credit risk, detect potential fraud, and monitor market trends.


Healthcare, an industry rich with data sources, can benefit substantially from Lakehouse architectures. Patient records, medical imaging data, and genomic sequences can be unified under a single, accessible framework.

Use Case: Personalized medicine, based on a patient’s genetic makeup, can be effectively facilitated by a Lakehouse. With the vast genetic and health history data available, doctors can provide more accurate diagnoses and tailor treatments to individual patients.

Retail and E-Commerce

Lakehouse architectures can significantly enhance retailers’ ability to understand their customers and personalize experiences. By integrating data from online and offline channels, retailers can create a unified view of each customer, enabling better engagement strategies.

Use Case: Personalized marketing campaigns can be effectively designed using a Lakehouse architecture. By analyzing customer preferences, purchasing history, and browsing behavior, companies can provide more relevant product recommendations, enhancing customer engagement and increasing sales.


Manufacturers can leverage Lakehouse architectures to enhance production efficiency, quality control, and predictive maintenance. IoT sensors on production equipment generate real-time data that, when processed and analyzed, can offer valuable insights.

Use Case: Predictive maintenance powered by Lakehouse architectures can help manufacturers proactively identify potential equipment failures and carry out maintenance activities, minimizing downtime and reducing costs.


In the telecommunications industry, where customer churn can significantly impact profits, Lakehouse architectures can help companies retain more customers by identifying those at risk of churn and enabling proactive engagement.

Use Case: Customer churn prediction models can be developed and deployed, processing data from the Lakehouse to understand usage patterns, customer complaints, and payment history, allowing service providers to take timely action.

Lakehouse architectures, especially those built on technologies like S3, Iceberg, and Trino and hosted on European servers, offer several benefits. They provide scalability, improved data management, enhanced analytics capabilities, and ensure compliance with stringent EU data privacy regulations. As businesses continue to operate in an increasingly data-driven environment, adopting such advanced data architectures will become not just an option, but a necessity for maintaining a competitive edge.

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