Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Michelle Mensing

Michelle Mensing
Software Engineer, 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.


2:55pm3:35pm Wednesday, September 27, 2017
Location: 1E 06
Average rating: **...
(2.00, 2 ratings)
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. Read more.
3:45pm4:25pm Wednesday, September 27, 2017
Location: O'Reilly booth (Table A)
Michelle will be on hand to discuss SAP Data Hub solutions, challenges for building comprehensive data pipelines, and data orchestration and execution. Read more.