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Big data
Migrating on-Premises Hadoop to Cloud with JuiceFS: A Case Study from Li Auto
2022-12-02
Lei Nie
Li Auto is migrating its big data platform from Hadoop to a cloud-native stack due to HDFS limitations in scalability, performance, disaster recovery…
One minute setup of JuiceFS in Amazon EMR using AWS Cloudformation
2021-05-10
Changhao Wei, Rui Su
This is a quick start article on using JuiceFS as an Amazon EMR storage backend, a POSIX-compatible shared file system designed to work in the cloud …
How to effectively reduce the load of HDFS cluster for Qutoutiao
2021-05-06
Changjian Gao
Qutoutiao big data platform currently has a nearly 1,000-node HDFS cluster, carrying the function of storing the last few months of hot data, the dai…
How to optimize Kylin 4.0 storage performance on the cloud using JuiceFS?
2020-12-09
Su Rui
If you plan to use Kylin on the public cloud for your data analytics needs, using JuiceFS with object storage for storage can be a win-win in terms o…
How does the Globalegrow data platform achieve both speed and money savings?
2020-10-29
Changjian Gao
This article analyzes in detail the data platform of Globalegrow after going to the cloud, without any performance loss, with the help of JuiceFS to …
How to make HBase faster, more stable, and cheaper
2019-07-29
Tommy Tang
BackgroundApache HBase is a large-scale, scalable, and distributed data storage service in the Apache Hadoop ecosystem. It is also a NoSQL database t…
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…
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