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“Data Access as a Service” at Shopee: Using Alluxio to Accelerate Interactive Queries and Enhance Developer Experience with Flexible APIs

Shopee is the leading e-commerce platform in Southeast Asia. In this blog, Tianbao Ding and Haoning Sun from Shopee’s data infrastructure team share their project on query acceleration and “Data Access as a Service.” They describe how Shopee leverages Alluxio to improve Trino query performance by ~55% and how Alluxio enhances developer experience by providing … Continued

Hopping into the Year of Rabbit with Alluxio Community

As we close out the Year of Tiger and welcome the Year of Rabbit, we are filled with gratitude for the support and contributions of the members of Alluxio Open Source Community. Thanks to your dedication and trust, the Alluxio Open Source project and community has continued to thrive and grow in ways we never … Continued

What’s Next for Data Analytics, AI, and Cloud in 2023?

Originally published on vmblog.com: https://vmblog.com/archive/2022/12/27/alluxio-2023-predictions-what-s-next-for-data-analytics-ai-and-cloud-in-2023.aspx As we enter 2023, the world of analytics, AI, and cloud is entering an exciting new phase, with a wide range of innovations and developments set to reshape the landscape. Below are some trends that will have the most impact in the coming year. Trend 1: Cloud cost optimization is … Continued

Architecting Data Orchestration: Four Use Cases

Originally published on Eckerson.com: https://www.eckerson.com/articles/architecting-data-orchestration-four-use-cases ABSTRACT: This blog explores four use cases for data orchestration and examples of the supporting architectural elements. Modern analytics projects rely on a hodgepodge of compute clusters, data stores, and pipelines, flung across countries and continents. Enterprises struggle to meet performance SLAs without replicating lots of data or moving and re-coding … Continued

Data Orchestration: Simplifying Data Access for Analytics

Originally published on Eckerson.com: https://www.eckerson.com/articles/data-orchestration-simplifying-data-access-for-analytics   The problem with data modernization initiatives is that they result in distributed datasets that impede analytics projects. As enterprises start their cloud migration journey, adopt new types of applications, data stores, and infrastructure, they still leave residual data in the original location. This results in far-flung silos that can be … Continued