Hadoop 3.x Key Features Explained
The Hadoop 3.x version introduces many new features and improvements, making it more powerful and efficient. Here are some of the key new features of Hadoop 3.x:
- Hadoop 3.x introduced HDFS Erasure Coding, a new data protection mechanism that utilizes less redundant data during storage to increase data reliability, which lowers storage costs and improves data reliability.
- The new version of YARN Timeline Service v.2 offers a more flexible and efficient application history logging and monitoring feature, allowing users to better understand and manage the performance of their applications.
- Upgrade of Hadoop Common package in Hadoop 3.x includes new features and improvements to enhance the system’s performance and reliability.
- Enhancements in stream processing: Hadoop 3.x has improved its support for stream processing frameworks like Apache Kafka and Apache Storm, as well as optimizing performance for stream data processing.
- Hadoop 3.x provides support for a wider range of hardware and operating system platforms, making it more flexible and easier to deploy.
In general, the introduction of many new features and improvements in Hadoop 3.x has made it a more powerful and efficient big data processing framework. These new features can help users better manage and process their data, while also improving system performance and reliability.
