Ripudaman Singh

Hadoop is a framework for the analysis of big data. Hadoop have 2 components. 1) hdfs . Hadoop distributed file system. 2) mapreduce . (Processing big data) Hdfs.. It is basically a file storing system. Used to store big file in the form of small cluster. Master slave process is followed. If we are using hdfs for small file storing then it is not worthy. In hdfs suppose a data is of 1TB then it store in different slave having data 128mb. Also the replica of data also take place in Hadoop so the the loss of data can be reduce. Mapreduce ... It's is process of analysis of data stored in hdfs. Following steps are involved for mapreduce ( * at basic level) 1) splitting  . First of all big data values is splits into small small parts . suppose I have a data of 3 line then it split the data in 3 parts each part have 9ne line 2) mapping. Then the mapping of data take place . It is a process of making keys and values. Suppose I have a data like car car bus then after mappi...

Get straight to the topic: --> Github is a platform where we can create your rapo and work in a group efficiently. 1)  create an account at the GitHub 2)  create a rapo (needs simple form filling skills or refer youtube) 3)  (for Ubuntu) sudo apt-get install git( a tool for interacting, posting, getting data, at GitHub ) 4)  mkdir <directory name> 5)  cd <directory name> 6) git init 7) git config -- user.name "   " 9) git config -- user.email"   " 10) create a file and save it 11)  add the file 12)  commit the file 13) push the file to the server 14) merge the branch/ pull data change/ continue work commands of GIT: Push changes to remote repository (remembered branch) git push Delete a remote branch git push origin --delete [branch name] Update local repository to the newest commit git pull Pull changes from remote r...