On Demand Video

Architecting a Heterogeneous Data Platform Across Clusters, Regions, and Clouds

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Alluxio foresaw the need for agility when accessing data across silos separated from compute engines like Spark, Presto, Tensorflow and PyTorch. Embracing the separation of storage from compute, the Alluxio data orchestration platform simplifies adoption of the data lake and data mesh paradigm for analytics and AI/ML. In this talk, Bin Fan will share observations to help identify ways to use the platform to meet the needs of your data environment and workloads.


*This is a bilingual presentation.


Presentation slides:

Host & Moderator:

Jazz Yao-Tsung Wang is a multi-disciplinary, cross-functional learner. “Data-driven” evangelist since 2008. Hybrid cloud practicer since 2010. 16-years working experience since 2002.


Bin Fan is the PMC maintainer of Alluxio open source. Prior to joining Alluxio as a founding engineer, he worked for Google to build the next-generation storage infrastructure. Bin received his Ph.D. in Computer Science from Carnegie Mellon University on the design and implementation of distributed systems.