Data Virtuality
Stefan Mathiasen is a skilled engineer with a diverse background in marine engineering and project management. Currently a Project Engineer - Controls and previously a Project & Hotline Engineer at Körber Supply Chain since November 2020, Stefan has also served as a Commissioning Engineer at PLANT SUPERVISION and a Service & Commissioning Engineer at LiqTech, where responsibilities included commissioning membrane cleaning systems for vessels in Europe and Asia. Earlier experience includes a role as a Marine Engineer with KNOT Management Denmark A/S, working on the shuttle tanker Anna Knutsen in Brazil, as well as positions as a carpenter at Birkelse tømrer og snedker A/S and Tømrermester Thorkild Jespersen A/S. Stefan holds a Bachelor’s degree in Technology Management and Marine Engineering from MARTEC and has completed vocational training as a carpenter at TECHCOLLEGE.
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Data Virtuality
Data Virtuality offers two products to flexibly solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data.Data Virtuality Platform - Data Virtualization for Flexible Data ArchitecturesBy uniquely combining data virtualization and data replication, Data Virtuality Platform providesdata teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. Enterprises around the world, such as BSH, PGGM, PartnerRe, Crédit Agricole, and Vontobel use the Data Virtuality Platform to build modern data architectures that meet today’s and tomorrow’s business requirements.Pipes - Easy and Reliable Data ReplicationWith Pipes, anyone can build data pipelines from 200+ available sources to a data warehouse with just a few clicks. Fully automated and without any coding. Many businesses from the E-Commerce and Marketplace space, as well as Marketing Agencies, choose Pipes to always have fresh data at any time. With Pipes Professional, data teams can additionally build their custom data pipelines with SQL and make use of job dependencies as well as advanced replication types.Imprint: https://datavirtuality.com/imprint/Imprint: https://datavirtuality.com/imprint/