Hadoop Classes in Pune
From the citation data set, you may be interested in finding ten most cited patents. A sequence of two Mapreduce jobs can do this.
Hadoop clusters which support for Hadoop HDFS,MapReduce ,Sqoop ,Hive ,Pig , HBase , Oozie , Zookeeper, Mahout , NOSQL , Lucene/Solr,Avro,Flume,Spark,Ambari Hadoop is designed for offline processing and analysis of large-scale data.
Hadoop is best used as a write-once, Read-many-times type of datastore.
With the help of Hadoop, large dataset will be divided into smaller (64 or 128 MB)blocks that are spread among many machines in the clusters via Hadoop Distributed File System.
The key functions of Hadoop are,
1)approachable-Hadoop runs on Huge clusters of appropriate Hardware apparatus.
2)Powerful-Because it is intentional to run on clusters of appropriate Hardware apparatus, Hadoop is an architect with the presumption of repeated hardware malfunctions. It can handle most of such failures.
3)Resizable-Hadoop measures sequentially to hold large data by including more nodes to the cluster.
4)Simple-Hadoop allows users to speedily write well-organized parallel codes.
