Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Patrick Stuedi

Patrick Stuedi
Research Staff, IBM Research

Website

Patrick Stuedi is a member of the research staff at IBM research Zurich. His research interests include distributed systems, networking, and operating systems. The general theme of his work is to explore how modern networking and storage hardware can be exploited in distributed systems. Previously, he was a postdoc at Microsoft Research Silicon Valley. Patrick is the creator of several open source projects such as DiSNI (RDMA for Java), DaRPC (Low latency RPC), and Apache Crail (incubating). He holds a PhD from ETH Zurich.

Sessions

4:40pm–5:20pm Thursday, March 28, 2019
Data processing at the speed of 100 Gbps using Apache Crail
Data Engineering & Architecture
 Location: 2008
Secondary topics:  Data Integration and Data Pipelines, Storage, Streaming, realtime analytics, and IoT
Patrick Stuedi (IBM Research)
Average rating: ****.
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Modern networking and storage technologies like RDMA or NVMe are finding their way into the data center. Patrick Stuedi offers an overview of Apache Crail (incubating), a new project that facilitates running data processing workloads (ML, SQL, etc.) on such hardware. Patrick explains what Crail does and how it benefits workloads based on TensorFlow or Spark. Read more.