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JindoFS

Alibaba Cloud JindoFS Handles Stress Testing Easily with More Than One Billion Files

This article reviews JindoFS stress testing, featuring multiple scenarios and graphs.

Fluid with JindoFS: An Acceleration Tool for Alibaba Cloud OSS

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.

JindoFS Cache-based Acceleration for Machine Learning Training in a Data Lake

The article explains how JindoFS cache-based acceleration service improves machine learning training speed in a data lake.

JindoFS: Computing and Storage Separation for Cloud-native Big Data

In this blog, we'll introduce the origins of JindoFS and discuss the problems its

EMR: An Efficient Cloud-native Data Analytics Engine

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 .

Empowering Open-source Cloud Ecosystems: Development of Alibaba Cloud's Open-source Big Data Platform

This article discusses how Alibaba Cloud EMR empowers open-source cloud ecosystems from multiple perspectives.

Storage Policies and Read/Write Optimization in JindoFS

This article describes common problems and optimization methods of data read/write in computing-storage separation scenarios, and introduces data cache acceleration with JindoFS.

Data Lake Acceleration in Data Lake Architecture

This article introduces the reasons for choosing data lake acceleration, and shares Alibaba Cloud's practical experience and technical solutions.

Build a Cloud Data Lake Using E-MapReduce

This article is based on the enterprise data lake construction solution using E-MapReduce and customer best practices shared by Ziguan.

Introducing JindoFS: A High-performance Data Lake Storage Solution

JindoFS is a cloud-native file system that integrates the advantages of local disks and the ultra-large capacity of Object Storage Service (OSS).