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Slides from our latest talks

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On Demand Video
Alluxio-FUSE as a data access layer for Dask

At Aspect Analytics we intend to use Dask, a distributed computation library for Python, to deal with MSI data stored as large tensors. In … Continued

On Demand Video
Speed up large-scale ML/DL offline inference job with Alluxio

We adopt alluxio which acts as an intermediate storage tier between the compute tier and cloud storage to optimize IO throughput of deep learning … Continued

On Demand Video
Building a high-performance data lake analytics engine at Alibaba Cloud with Presto+Alluxio

Data Lake Analytics(DLA) is a large scale serverless data federation service on Alibaba Cloud. One of its serverless analytics engine is based on Presto. … Continued

On Demand Video
Introducing what’s new in Alluxio 2.5

Alluxio 2.5 focuses on improving interface support to broaden the set of data driven applications which can benefit from data orchestration. The POSIX and … Continued

On Demand Video
Accelerate Analytics and ML in the Hybrid Cloud Era

Many companies we talk to have on premises data lakes and use the cloud(s) to burst compute. Many are now establishing new object data … Continued

On Demand Video
Integrating Open Source Alluxio in AWS EKS with Terraform

The presentation talks about the best practices to set up and techniques to build a cluster with open source Alluxio on AWS EKS, for … Continued

On Demand Video
Accelerate Analytics and ML in the Hybrid Cloud Era

Many companies we talk to have on premises data lakes and use the cloud(s) to burst compute. Many are now establishing new object data … Continued

On Demand Video
Alluxio Architecture and Scaling Performance

In this talk, I will introduce the high-level architecture of the current system, and present the various components of Alluxio. Also, I will discuss … Continued

On Demand Video
Modernizing Global Shared Data Analytics Platform and our Alluxio Journey

In this keynote, you will learn about the evolution of the global data platform at Rakuten spread across multiple regions, and clouds. In addition, … Continued

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