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Showing posts from May, 2016

Root User Access Solution on putty

Root User Access Permission denied :( Solution is here Don't worry :)  As I have also faced the same issue while I was also trying to install on my VM, could not able to access my Root user access. So I have decided that the proper solution must be share to all of you. You are facing like this:-  login as: root root@192.168.30.131's password: Access denied root@192.168.30.131's password: login as: user user@192.168.30.131's password: Welcome to Ubuntu 14.04 LTS (GNU/Linux 3.13.0-24-generic i686)  * Documentation:  https://help.ubuntu.com/ Last login: Mon May  2 14:03:30 2016 from 192.168.30.1 user@ubuntuvm:~$ /etc/ssh/sshd_config -bash: /etc/ssh/sshd_config: Permission denied Solution 1 :- type on VM terminal vim /etc/ssh/sshd_config Using Sudo for Super User Access to Root Privileges in Linux The Linux super user, or root user, is a special user that has tremendous power, with the ability to access and modify

HADOOP INSTALLATION

1) Go to VM  ( Virtual Machine ) 2) root > apt-get update 3) root > sudo apt-get install openssh-server openssh-client 4) root > ifconfig 5) got to Putty login as root user 6) root > apt-get install python-software-properties 7) root > add-apt-repository ppa:webupd8team/java 8) root > apt-get update 9) root > apt-get install oracle-java8-installer 10) cd /   for coming at root directory 11) if multiple java version has installed sudo update-alternatives --config javac ************ for completely remove OpenJdk from ubuntu *** sudo apt-get purge openjdk-\* icedtea-\* icedtea6-\* 12) root > export JAVA_HOME=/usr/lib/jvm/java-8-oracle 13) root > echo $JAVA_HOME 14) root > adduser hduser sudo 15) root > groupadd hadoop 16) root > usermod -g hadoop hduser 17) root > su - hduser 18) hduser > ssh-keygen -t rsa -P "" 19) hduser > cat $HOME/.ssh/id_rsa.pub >> $HOME/.ssh/authorized_keys 20) hduser > chmo
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Big Data & Hadoop Q:- What is Big Data? A:- Massive Volume , Structured,Semi-Structured,Unstructured data which is so large and difficult to       process using traditional approach under databases and software techniques.       In this individual transactions are not critical only aggregates or you can say derived analysis       matters.       Examples :- Credit Card transactions – 10,000/second. Walmart – 1 Million Customer                         transactions/second. RFID Systems . Internal vs. External Sources 3 V of Big Data Volume Velocity Variety    Now Come to HADOOP