Data engineering – the collection, processing and provision of a broad range of data in a defined format – is the basis for the development and operation of systems for business intelligence and analytics.
In order to meet these expectations, two factors must be present: A clear definition of the impact of an analytics project and technical expertise.
Security and robustness
We focus on the tried and tested IBM Information Server (DataStage) and Informatica (Power Center / Power Designer) ETL suites.
As certified and recognized experts, we support you in both systems with extensive, cross-industry project know how.
Methods: DWH architectures | Business Intelligence | ETL | Migration | Testing | Hybrid architectures| Streaming architectures | Open Source
Manufacturer / Certifications: IBM | Informatica | Microsoft | Kubernetes | Oracle | LINUX | Cloudera
Software packages: IBM DataStage | IBM Information Server | Informatica PowerCenter | Microsoft SSIS, SSAS, SSRS | Microsoft Power BI | Microsoft Azure | Apache Kafka | Docker | Kubernetes
INTERESTED TO KNOW MORE?
We are happy to support you in all matters pertaining to data engineering. Our longterm experience in the most important IBM and Informatica product suites qualifies us as your ideal project partner.
We look forward to meeting you
Head of Data Engineering