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From Hadoop to Cloud: Why and How to Decouple Storage and Compute in Big Data Platforms

From Hadoop to Cloud: Why and How to Decouple Storage and Compute in Big Data Platforms
2023-11-01
Rui Su
Learn the importance and feasibility of storage-compute decoupling and explore available market solutions.
Costs Cut & Ops Efficiency Boosted: Switching to a Big Data Storage-Compute Decoupled Architecture

Costs Cut & Ops Efficiency Boosted: Switching to a Big Data Storage-Compute Decoupled Architecture
2023-09-28
Ming Li
DMALL, Asia's leading omnichannel digital retail solution provider, switched from a storage-compute coupled architecture to decouple architecture. In…
50%+ Cut in Both Storage & Compute Costs: Designing NetEase Games' Cloud Big Data Platform

50%+ Cut in Both Storage & Compute Costs: Designing NetEase Games' Cloud Big Data Platform
2023-09-14
Weihong Ke
Learn how NetEase Games, a global gaming giant, cut 50%+ in both storage and compute costs for their cloud-based big data platform.
Migrating Hadoop to the Cloud: 2x Storage Capacity & Fewer Ops Costs

Migrating Hadoop to the Cloud: 2x Storage Capacity & Fewer Ops Costs
2023-08-09
Chang Liu&Yangliang Li
Learn how Yimian, an AI-powered data analytics provider, implemented a compute-storage decoupled architecture, doubled storage capacity, and cut oper…
Choosing JuiceFS over s3fs and Alluxio for Our Ultra-Heterogeneous Computing Cluster

Choosing JuiceFS over s3fs and Alluxio for Our Ultra-Heterogeneous Computing Cluster
2023-06-09
Chen Hong
In this article, we’ll dive into our storage challenges, why we chose JuiceFS over s3fs and Alluxio, how we use it, and the issues we encountered and…
An Elastic Platform & Simplified Storage Achieved by Migrating to Spark+K8s+JuiceFS

An Elastic Platform & Simplified Storage Achieved by Migrating to Spark+K8s+JuiceFS
2023-05-10
Fengyu Cao
By migrating from DPark+Mesos+MooseFS to Spark+K8s+JuiceFS, Douban achieved an elastic platform, simplified storage management, and improved query ef…
Scaling Hadoop on cloud: Managing PB-Level Data through Separation of Compute and Storage with JuiceFS

Scaling Hadoop on cloud: Managing PB-Level Data through Separation of Compute and Storage with JuiceFS
2023-03-17
Lei Yang
China Telecom's big data team handles massive data at the PB level on a daily basis, and it resolved this by implementing storage and computing separ…
Exploring storage and computing separation for ClickHouse

Exploring storage and computing separation for ClickHouse
2021-03-15
Changjian Gao
JuiceFS is an open source distributed file system based on object storage and fully compatible with POSIX, while the data caching features of JuiceFS…
Why disaggregated compute and storage is future

Why disaggregated compute and storage is future
2018-07-08
Davies, CEO & Founder
This topic is an issue that we have been discussing with our clients in the past few months. It is also a question that many big companies are thinki…