# Evaluation of Erasure Coding & other features of Hadoop 3

- Institution: CERN
- Department: CERN openlab Summer Student programme 2019
- Speaker: Nazerke Seidan
- Year: 2019
- Language: English
- Source: [CERN](https://videos.cern.ch/record/2302459)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Apache Hadoop is a set of 2 domains: data computation such as Spark, MapReduce, Flink, etc and data storage - HDFS. HDFS is a distributed file system. Current HDFS provides 3x replication for data redundancy and availability. But it has 200% storage overhead. However there is a big improvement in Hadoop 3 for replication which is Erasure Coding (EC). Erasure Coding gives the same level of fault tolerance as 3x replication but with much less storage space. My project aims to evaluate the performance of Erasure Coding..

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## Lectures

1. [Evaluation of Erasure Coding & other features of Hadoop 3](https://invisiblenetwork.ai/learn/cern/2302459/8230174a1941), 5 min (CERN's player)