Unify Data Lakes Across Multiple Geographic Regions in the Cloud

Expedia Group has implemented Alluxio to federate cross-region data lakes in AWS. Alluxio unifies geo-distributed data silos without replication, enabling consistent and high performance with ~50% reduced costs. This case study highlights: Expedia’s modernized data platform with central data lake and the challenges it faces Why this company chose Alluxio to unify cross-region data lake … Continued

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Unifying Cross-region Access in the Cloud at Expedia Group — The Path Toward Data Mesh in the Brand World

This article shares the data platform practice at Expedia to federate cross-region data lakes spanning multiple geographic regions in the cloud. 1. Background Expedia Group (NASDAQ: EXPE) is an American online travel shopping company for consumer and small business travel. Expedia powers travel for everyone, everywhere through our global platform, with industry-leading technology solutions to … Continued

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

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.

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Domain Specific — Why Data Mesh Works

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Host @eric_kavanagh will interview legendary Analyst Mike Ferguson of Intelligent Business Strategies, Bin Fan of Alluxio and Adrian Estala of Starburst on the topic of data mesh.