Data transfer between diverse systems is playing an increasingly important role in every company. Data from a multitude of source systems, such as ERP, CRM, or webshops, must be retrieved and processed into reliable foundations for business-critical decisions. Our ETL/ELT solutions and data models are flexible and can handle increasing demands for real-time and streaming solutions, as well as scalability.
With over 20 years of experience in processing large datasets, our experts know what matters when modeling data warehouses and cloud lakehouses. We not only offer specialists for the data integration stacks of major vendors, but can also quickly deploy tailored solutions for your business needs using cost-effective open-source alternatives, which offer significant added value, especially in the current climate.
Implementation of Cloud Lakehouse (e.g., Snowflake) and migration of ETL/ELT processes and entire databases to the cloud. Rapid deployment and flexibility for constantly changing data volumes
We possess many years of expertise through our close collaboration with major product manufacturers and their frameworks: specialists for Informatica and IBM stack, extensive interface coverage, handling of very large data volumes, broad support market
Quickly deployable, flexibly scalable, cost-effective
Keywords
- ETL/ELT
- Batch
- Data preparation
- Source to Target
- KPI
- Historicisation
- steering
- Scheduling
- Modeling
- Data Vault 2.0
