Evolving big data architectures are creating an increasingly complex landscape. Michelle Mensing explains how to simplify data orchestration across various big data and enterprise sources, demonstrating how to create a complex pipeline and execute the pipeline in Kubernetes clusters, covering data acquisition, transformation, cleaning data, and running the algorithms.
This session is sponsored by SAP.
Michelle Mensing is a software engineer on the SAP HANA native development team at SAP, where she works on cross-platform ETL modeling tools and designs and builds modeling solutions for data transformation and management across multiple data lakes. Michelle holds a BS in IT systems engineering from the Hasso-Plattner-Institute in Potsdam, Germany, and is an alum of the HPI School of Design Thinking. During her studies, she focused on the integration of business processes with sensor data streams and monitoring solutions for user-driven decision management.
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