Whether on-premises or in the cloud – the path to becoming a data-driven company requires a modern data warehouse (DWH) for most companies.
Whether on-premises or in the cloud – the path to becoming a data-driven company requires a modern data warehouse (DWH) for most companies.
Data as an asset: Many companies have long recognized the value of their data. Traditional evaluations of company figures are often combined with ever new, modern analysis options. Despite new decentralized concepts such as data mesh, the data warehouse remains indispensable for most companies in order to ensure a uniform data view. However, it is not always sensible or possible to move to the cloud. That’s why we support you in all phases of your DWH on-premises.
Modern platform for BI and analytics.
Single point of truth – consolidated data source for all evaluations.
Batch and streaming – data up-to-dateness according to your needs.
ETL and ELT - data transformations with modern techniques and tools.
Self-Service BI – empower your employees to visualize their data themselves.
Automation - optimize your development with CI/CD and DevOps and generate fast results through highly automated processes.
Standards - meet regulatory requirements from BCBS239, MaRisk, Solvency II or support accounting in accordance with IFRS standards.
With more than 30 years of experience, we have developed a defined procedure, templates, checklists and sample solutions. These have been tried and tested in a large number of projects across all industries. Thanks to our vendor neutrality, we can draw on a wide range of technologies, from major manufacturers to open source, and thus find the perfect solution for you. We accompany you on your way to becoming a data-driven company.
Thanks to our many years of experience, we are experts in the modernization of existing DWHs. Step by step, we work with you to identify the weak points of previous implementations and work together to eliminate them.
We guarantee a vendor-neutral architecture definition and tool selection with predefined evaluation criteria and proof of concept tests.
To future-proof your solution, we pay attention to cloud readiness in the architecture and system model. This allows you to migrate your DWH to a cloud with minimal effort or combine it with cloud components in a hybrid model.
We have already written about Data Lakehouse technologies and compared the most prominent Data Lake Table Formats. All of them have thei...
Python has gained immense popularity in the data stack space, largely due to its rich ecosystem of libraries. Among these, Dataframe librari...
ArgoCD, a powerful GitOps tool, simplifies the continuous delivery and synchronization of applications on Kubernetes clusters. In this ...
In today’s fast-paced and ever-evolving business landscape, creativity stands as a pivotal factor that can set you apart from the competition....
You will shortly receive an email to activate your account.