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Graduation: Building a latency impact framework for the data layer Vanderlande Industries Veghel Over de afstudeeropdracht Job Description Assignment type : Graduation (internship is possible, only if you are persuing a master) Start date : February 2027 Assignmentduration : 6 months Location : Veghel Educationlevel : Bachelor / Master Desiredstudy : Data engineering, data science, software engineering, computer science, business IT & management Language : Dutch / English Description of assignment Within Vanderlande, we are currently building a new backbone for applications to reliably communicate its data with one another. It establishes common standards for how messages are structured, exchanged, understood, and versioned. Whilst reliability is imperative, we also must satisfy certain latency demands. As this new layer (the Data Layer) is being built, we increasingly want to add more features and functionalities to it. This would expectedly impact the latency of the messages flowing through the Data Layer. Currently, we don't have any insights in the latency impacts of these updates. The goal of this assignment is to first research what changes impact our latency, and by how much. Then, to set up a framework that essentially shows the (latency) costs of a new feature before implementing it. Scope increases/decreases may naturally be discussed. Department description The Central Data & Analytics department provides Data Analytics products and services (incl. governance) to the entire Vanderlande Organization (mainly internal customers). It is a federated organization, meaning that we centrally set a standard, which is adopted and implemented by decentralized franchises within the business. Next to the analytic platform, we have been building an abstraction layer for transactional data. This data layer will form the backbone of all inter-application communication within Vanderlande. Tasks/responsibilities - Join one of...

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