Architecting Your Data Platform Across Clusters, Regions, and Clouds

QCon San Francisco 2022

Sponsored session Architecture

Architecting Your Data Platform Across Clusters, Regions, and Clouds

Tuesday Oct 25 / 02:55PM PDT, Marina

Abstract

Data platform teams are increasingly challenged with accessing multiple data stores that are separated from compute engines, such as Spark, Presto, TensorFlow or PyTorch. Whether your data is distributed across multiple datacenters and/or clouds, a successful heterogeneous data platform requires efficient data access. Alluxio enables you to embrace the cloud migration strategy or multi-cloud architecture for large-scale analytics and AI workloads. Alluxio also helps scale out your platform adoption for analytics and AI across multiple tenants and applications teams.

Interview

Topics

Architecture Data Analytics Database Machine Learning Cloud Computing Cloud

Sponsored session

76% senior dev or higher
1:11 speaker ratio
60+ practitioners

QCon San Francisco 2022 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.

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