Revisiting Data Lakes: The Metadata Lake
- Daniel Bauer
- Chris Giblin
- et al.
- 2022
- Middleware 2022
Bio
I was awarded a PhD in Computer Science from the University of Cambridge in 1998 for work on network control, since then I have been at IBM Research in Zurich. I started working on dynamically deploying virtual infrastructure but in 1999 this was a little ahead of its time. Since then I have been working in the field of distributed systems, e.g. larges scale distributed games, sensor networks, realtime messaging. My current research is in the field of OS deployment.
Publications
Unifying Metadata for Stream and Batch Queries in a Cloud Service
- Florian Fröse
- Daniel Bauer
- et al.
- 2022
- VLDB 2022
Securing Kafka with Encryption-at-Rest
- 2021
- BigData Congress 2021
Pathfinder: Building the Enterprise Data Map
- 2021
- BigData Congress 2021
Building and Operating a Large-Scale Enterprise Data Analytics Platform
- Daniel Bauer
- Florian Froese
- et al.
- 2021
- Big Data Research
Analysis of SQL Workloads on an Enterprise Datalake
- 2020
- CLOUD 2020
Kafka: The Database Inverted, but Not Garbled or Compromised
- Sean Rooney
- Peter Urbanetz
- et al.
- 2019
- Big Data 2019
Experiences with managing data ingestion into a corporate datalake
- Sean Rooney
- Daniel Bauer
- et al.
- 2019
- CIC 2019
Recurrent Movement of Relational Data Within a Hybrid Cloud
- Daniel Bauer
- Florian Froese
- et al.
- 2018
- Big Data 2018
Scheduling intense applications most 'surprising' first
- 2015
- Science of Computer Programming
Patents
- US
- 7136351
- CN
- ZL01124371.6
Top collaborators
LG
Luis Garces-Erice
Senior Research Scientist
CG
Chris Giblin
Senior Technical Staff Member, security, data, compliance
NP
Niels Pardon
Senior Research Software Engineer
ZN
Zoltán Arnold Nagy
OpenStack & Ceph SME / Technical Lead of Zurich Compute Cloud