Intel Innovation 2021

Virtual Event *

Join us at Intel Innovation, the latest digital educational conference for developers and industry insiders. You’ll hear from the experts who deliver advanced AI, 5G, edge, cloud, and client technologies with speed and real-world scale. Exclusive sessions include product launches, demos, hands-on workshops, keynotes, and a sneak peek at Intel’s road map. Secure your spot at Intel Innovation.

Alluxio Data Orchestration for Machine Learning

ApacheCon *

Join us at ApacheCon to learn how Alluxio’s capabilities as a Data Orchestration framework have encouraged users to onboard more of their data-driven applications to an Alluxio powered data access layer.

Enabling Presto in the Cloud with Alluxio

Presto Summit New York *

The Presto Summit continues to bring together the best developers, engineers, data scientists, and executives from the Presto community to share how some of the largest and most innovative companies are using this technology to power their analytics platforms.

Data Orchestration Summit 2019

Alluxio Conference *

Announcing the first Data Orchestration Summit in November 2019! This Summit brings together data engineers, cloud engineers, data scientists, and industry thought leaders who are solving data problems at the intersection of cloud, AI, and data.

Evolution of big data stacks under computational and storage separation architecture

Shanghai *

A new generation of open source big data, represented by Alluxio, born at the University of California at Berkeley, looks at this issue. Different from systems such as designing storage tight coupling to achieve low-cost reliable storage HDFS, by providing a virtual data storage layer defined and implemented by software for data applications, abstracting and integrating cloudy, hybrid cloud, multi-data center and other environments The underlying files and objects, and through intelligent workload analysis and data management, make data close to computing and provide data locality, big data and machine learning applications can be achieved with the same performance and lower cost.