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Hadoop has 2 main components-
It is essential to learn Hadoop in present market scenario because it allows-
The way big data was handled changed dramatically with HDFS or HadoopDistributed File System, it is built in servers of namenode and datanode along with the usual huge storage capacity of data sets. If you are enrolling for Hadoop online training make sure you do not miss out on HDFS. Since the advent of Spark, MapReduce has become somewhat archaic but still heavily in use and also the cornerstone of Hadoop domain and hence the basic knowledge is essential, as it will help you while working with the newer tools as well.
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Hadoop is open source software under the proprietorship of Apache Software Foundation. Hadoop has been designed to store enormous amount of data sets across distributed clusters of servers and running analysis in respective clusters. It is extremely flexible and efficient in its usage.
Hadoop has 2 main components-
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- Distributed file system for storage.
It is essential to learn Hadoop in present market scenario because it allows-
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- Helps mining large datasets.
- Helps in large scale pre-processing of raw data.
- Has data agility.
The way big data was handled changed dramatically with HDFS or HadoopDistributed File System, it is built in servers of namenode and datanode along with the usual huge storage capacity of data sets. If you are enrolling for Hadoop online training make sure you do not miss out on HDFS. Since the advent of Spark, MapReduce has become somewhat archaic but still heavily in use and also the cornerstone of Hadoop domain and hence the basic knowledge is essential, as it will help you while working with the newer tools as well.
In contemporary usage, MapReducehas gained popularity because of its easily writing applications that processes multi tetrabyte data sets simultaneously in large clusters in reliable and protected manner.
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