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Data Engineering

infologistix range of services: Data-Intelligence

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.

Data Engineering: Security and robustness

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

IBM Cloud Pak® for Data (DataStage)

Im combination with our expertise in the areas of requirements analysis, architecture / modeling, data preparation and data migration, robust and high-performance ETL processes are created.

IBM DataOps/ © 2020 IBM Corporation


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

René Schiebeck 
Head of Data Engineering

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