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Data in motion itself requires a rethinking of how to handle data and what an IT architecture should look like. This opens new ways of analyzing data in near real-time. We’ll have a look at the possibilities of data analytics in motion.
Prerequisites: none
Level: Basic
Dr. Nadine Schoene: Technical generalist covering the whole data-value-chain (data storage and access, data engineering, data science, MLOps, Trusted AI) for batch as well as real-time data. Curious problem solver with an interdisciplinary and structured approach. Team builder that makes things happen.
Driven by continuous learning and research and passionate about passing on the results. Loves to speak to all kinds of audiences (technical experts, C-level, business, as well as students).