This article describes common problems and optimization methods of data read/write in computing-storage separation scenarios, and introduces data cache acceleration with JindoFS.
This article introduces a new architecture solution based on Fluid (containing JindoRuntime) designed and implemented by Weibo's technical teams.
This article mainly discusses the application of HAOMO.AI's machine learning platform in autonomous driving scenarios.
This article reviews JindoFS stress testing, featuring multiple scenarios and graphs.
This article introduces Fluid, an open source Kubernetes-native distributed dataset orchestrator and accelerator for data-intensive applications, and talks about the advantages of JindoRuntime.
The article explains how JindoFS cache-based acceleration service improves machine learning training speed in a data lake.
In this blog, we'll introduce the origins of JindoFS and discuss the problems its
This blog explores the architecture and design goals of Alibaba Cloud E-MapReduce (EMR), as well as introduces two key components of EMR: JindoFS and .
This article discusses how Alibaba Cloud EMR empowers open-source cloud ecosystems from multiple perspectives.
This article introduces the reasons for choosing data lake acceleration, and shares Alibaba Cloud's practical experience and technical solutions.
This article is based on the enterprise data lake construction solution using E-MapReduce and customer best practices shared by Ziguan.
JindoFS is a cloud-native file system that integrates the advantages of local disks and the ultra-large capacity of Object Storage Service (OSS).
