Sep 23–26, 2019

Joerg Schad
Head of Engineering and Machine Learning, ArangoDB

Jörg Schad is Head of Machine Learning at ArangoDB. In a previous life, he has worked on or built machine learning pipelines in healthcare, distributed systems at Mesosphere, and in-memory databases. He received his Ph.D. for research around distributed databases and data analytics. He’s a frequent speaker at meetups, international conferences, and lecture halls.

Sessions

4:35pm–5:15pm Wednesday, September 25, 2019

Location: 1A 23/24

The case for a common metadata layer for machine learning platforms

Data Engineering and Architecture

Secondary topics: Data quality, data governance and data lineage

Max Neunhöffer (ArangoDB), Joerg Schad (ArangoDB)

Machine learning platforms are becoming more complex, with different components each producing their own metadata and their own way of storing metadata. Max Neunhöffer and Joerg Schad propose a first draft of a common metadata API and demonstrate a first implementation of this API in Kubeflow using ArangoDB, a native multimodel database. Read more.