Session will present data caching strategies for data analytics and AI; attend demonstration of its open source data platform in booth #29 SAN MATEO, CA – June 19, 2023 – Alluxio, the developer of the open source data platform that simplifies the management of large-scale analytics and AI/ML applications, today announced its participation at Data … Continued
SAN MATEO, CA – March 14, 2023 – Alluxio, the developer of the open source data platform that simplifies the management of large-scale analytics and AI/ML applications, is honored to announce its inclusion as one of Forbes’ “Best Startup Employers” of 2023. Alluxio placed 142 on Forbes’ list done in conjunction with Statista Inc. ranking the … Continued
Multi-Cloud, Cost Optimization, Talent Shortages for Kubernetes, Big Models for AI, Open Table Formats for Data Lakes and Simplified Data Access and Sharing Top the List SAN MATEO, CA – January 5, 2023 – Alluxio’s Founder and CEO Haoyuan (H.Y.) Li forecasts major developments in cloud, data and analytics, AI and storage in 2023. Data … Continued
Alluxio 2.9 major new enhancements include scaling out with tenant-level isolation, simplifying DevOps on Kubernetes, and strengthening the security of S3 API SAN MATEO, CA – November 16, 2022 – Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, today announced the immediate availability … Continued
SAN MATEO, CA – November 7, 2022 – Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, today announced the appointment of Craig Nelson as Senior Vice President of Global Sales; along with the company’s first dedicated SVP, Business Development and Marketing role led … Continued
Session to provide insights for architecting a heterogeneous data platform SAN MATEO, CA – October 12, 2022 – Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, today announced its participation in QCon San Francisco, taking place October 24 – 28, 2022 at the … Continued
DZone
This article explains how Shopee’s “Data Access as a Service” improves API flexibility and speeds up interactive queries for developers.
Infoworld
Presto is a popular, open source, distributed SQL engine that enables organizations to run interactive analytic queries on multiple data sources at a large scale. Caching is a typical optimization technique for improving Presto query performance. It provides significant performance and efficiency improvements for Presto platforms.
Blocks & Files
Uber is using Alluxio’s virtual distributed file system to speed its Hadoop-based analytics processing by caching hot read data.
InsideBigData
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
The New Stack
In this article, we will discuss how data engineers and data infrastructure engineers can make Trino, a widely used query engine that’s faster and more efficient.
TDWI Upside
As the cloud grows in popularity and its use expands, enterprises are finding that their cloud costs also expand, including little-understood egress costs. Adit Madan, director of products at Alluxio, sheds light on several best practices that can help you reduce these costs.