Live instructor-led & Self-paced Online Certification Training Courses (Big Data, Hadoop, Spark) › Forums › Hadoop › What are the Features of Hadoop? This topic contains 1 reply, has 1 voice, and was last updated by dfbdteam3 1 year, 6 months ago. Viewing 2 posts - 1 through 2 (of 2 total) Author Posts September 20, 2018 at 12:17 pm #4795 dfbdteam3Moderator What are the characteristics of Hadoop? What are Hadoop design principles? What are the advantages of Hadoop? September 20, 2018 at 12:17 pm #4796 dfbdteam3Moderator Hadoop is most popular and powerful big data tool. It provides 1-HDFS ->>(WOLRD MOST RELIABLE STORAGE LAYER) 2-MAPREDUCE->>(DISTRIBUTED PROCESSING) 3-YARN->>(RESOURCE MANAGEMENT LAYER) There are some features of Hadoop listed below: 1-DEADLOCK->Hadoop will never go under Deadlock condition. 2-OPEN-SOURCE->It means that we can modify the source code upon our business requirement and it will open the gate for the researcher. 3-DISTRIBUTED PROCESSING->Data is stored in a distributed manner so that data is processed parallel on a cluster of nodes. 4-FAULT TOLERANCE->It can store 3 replicas by default on different datanode of the different rack so if any node goes down, data on that node will be recovered from other nodes. 5-RELIABILITY->Data is stored reliably on a cluster of the machine due to replication of data in the cluster. 6-SCALABILITY->It provide horizontal scalability so that new hardware can easly added to nodes. 7-HIGH AVAILABILITY->It means available in worst condition.it will never show a message that DATA IS NOT AVAILABLE. 8-ECONOMIC->it runs on commodity hardware so it is not expensive. 9-EASY TO USE->It will perform distributed processing by himself. 10->DATA LOCALITY->it run DATA LOCALITY principle which state that move computation to data instead of data to computation. To learn more about features of Hadoop follow: Hadoop Features Author Posts Viewing 2 posts - 1 through 2 (of 2 total) You must be logged in to reply to this topic.