Question - Can you explain some of the important features of Hadoop?
Answer -
Some of the important features of Hadoop are:
Fault Tolerance: Hadoop has a high-level of fault tolerance. To tackle faults, Hadoop, by default, creates three replicas for each block at different nodes. This number can be modified as per the requirements. This helps to recover the data from another node if one node has failed. Hadoop also facilitates automatic recovery of data and node detection.
Open Source: One of the best features of Hadoop is that it is an open-source framework and is available free of cost. Hadoop also allows its users to change the source code as per their requirements.
Distributed Processing: Hadoop stores the data in a distributed manner in HDFS. Distributed processing implies fast data processing. Hadoop also uses MapReduce for the parallel processing of the data.
Reliability: One of the benefits of Hadoop is that the data stored in Hadoop is not affected by any kind of machine failure, which makes Hadoop a reliable tool.
Scalability: Scalability is another important feature of Hadoop. Hadoop’s compatibility with other hardware makes it a preferred tool. You can also easily add new hardware to the nodes in Hadoop.
High Availability: Easy access to the data stored in Hadoop makes it a highly preferred Big Data management solution. Not only this, the data stored in Hadoop can be accessed even if there is a hardware failure as it can be accessed from a different path.