Apache Hadoop is a framework that allows storing large Data in distributed mode and allows for the distributed processing on that large datasets. It designs such a way that scale from a single server to thousands of servers. Hadoop itself designed to detect the failures at the application layer and handle that failure. Hadoop 3.0 is major release after Hadoop 2 with new features like HDFS erasure coding, improved performance and scalability, multiple NameNodes and many more.

Apache Hadoop 3.0 Benefits
Support multiple standby NameNodes.
Supports multiple NameNodes for multiple namespaces.
Storage overhead reduced from 200% to 50%.
Support GPUs.
Intra-node disk balancing.
Support for Opportunistic Containers and Distributed Scheduling.
Support for Microsoft Azure Data Lake and Aliyun Object Storage System file-system connectors.

#apache hadoop 3.0 features #enhancements