Benefit from the flexibility and scalability of this modern architecture while ensuring transparency, governance and security.


Cloud platforms became very popular in the last few years and are meanwhile an integral element in many companies. More and more enterprises are shifting to the hybrid-/ multi-cloud architecture approach in order to benefit from the flexibility and security that this modern architecture brings. At the same time, the number of data protection and security regulations are increasing and getting stricter. The Logical Data Warehouse aids with the integration part which is a key component of any hybrid- and multi-cloud strategy as it ensures that the architecture works quickly and reliably. Apart from enabling a fully integrated data landscape, the LDW strengthens the transparency, governance, and security aspects for a compliant system.


Security and Compliance
A hybrid-/ multi-cloud architecture gives you the flexibility to handle the data based on their sensitivity: highly regulated or sensitive ones due to GDPR, HIPAA, etc. can be deployed in the private cloud or on-premises while still less-sensitive can be moved to the public cloud. This way you can also reduce vendor risk as you don’t put all your eggs into one basket.
Optimized Deployment and Cost Structure
With a hybrid-/ multi-cloud approach, you can optimize the workload deployment of your overall architecture and your overall infrastructure budget. It also gives you the flexibility to adjust the deployment according to changing workloads or new opportunities. For instance, you could maintain workloads with known capacity and performance requirements on private cloud or on-premises and migrate more variable workloads and applications to the public cloud.
A hybrid-/ multi-cloud approach lets you easily deal with fluctuating and unpredictable workloads. The public cloud infrastructure can be used to scale up quickly, inexpensively, and even automatically and scale back down when the surge subsides. The rest of the workload isn’t affected and can run smoothly as usual.


Self-Service Semantic Layer Architecture


Fully Integrated Data Landscape
All data sources, whether in private or public cloud or on-premises can easily be integrated with the Logical Data Warehouse providing a single layer for data access and delivery. This way, data silos can be eliminated or avoided.
Easy Data Movements
The Logical Data Warehouse facilitates lifting data into the cloud and the exchange of data between different storage systems. The intelligent connectors within the Logical Data Warehouse support complex processes and optimize extract and load jobs of the data - even for large amounts of data. Ultimately, the data from various data sources is available in the different BI tools.
Transparency and Traceability
The data lineage features such as automatic data lineage, column-level data lineage, and persuasive audit trails in the Logical Data Warehouse give you full control over your data. With just one click, you can check where the data comes from, how it was manipulated, and by whom.
Compliant to data protection
With a fine-granular permission layer (schema, table, column-, and row-level), built-in user/role-based permission system, flexible data masking, versioning for all custom metadata, and other features in the Logical Data Warehouse, you can ensure a high level of security in your data landscape. Sensitive data can be securely managed and efficiency can be increased as the users can solely focus on the relevant data as the irrelevant data is not accessible. You can always see who had access to which data or who was modifying the data models. It empowers you to fully utilize your data while complying to data protection laws.



Whether you simply want to replicate your data or need real time data and an SQL data modeling layer, we know the pains. We are here to help.