Setup Hadoop 1.x on Single Node Cluster on Ubuntu | Hadoop Training | Hadoop Workshop | DataFlair

http://data-flair.training/big-data-hadoop/ [email protected] / +91-7718877477 This video covers installation and configuration of Hadoop 1.x or Cloudera CDH3Ux in pseudo-distributed mode. What are the prerequisites for hadoop. Installation of Java. Setup of password-less ssh. What are the mandatory configurations. Setup Configuration in core-site.xml, hdfs-site.xml, map-red-site.xml. Format name-node. start hadoop services: NameNode, DataNode, secondary-namenode, JobTracker, TaskTracker. Setup environment variables for Hadoop Submission of Map-Reduce Job. Use web console. About Big Data - Hadoop Training Course: An online course designed by Hadoop Experts to provide indepth knowledge and practical skills in the field of Big Data and Hadoop to make you successful Hadoop Developer. Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster- Single and multi node, Hadoop 2.0, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course. Course Objectives: After the completion of the ‘Big Data and Hadoop’ Course you should be able to: 1. Master the concepts of Hadoop Distributed File System and MapReduce framework 2. Setup a Hadoop on single and multi node Cluster 3. Understand Data Loading Techniques using Sqoop and Flume 4. Program in MapReduce (Both MRv1 and MRv2) 5. Learn to write Complex MapReduce programs 6. Program in YARN (MRv2) 7. Perform Data Analytics using Pig and Hive 8. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing 9. Have a good understanding of ZooKeeper service 10. New features in Hadoop 2.0 — YARN, HDFS Federation, NameNode High Availability 11. Implement best Practices for Hadoop Development and Debugging 12. Implement a Hadoop Project 13. Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience http://data-flair.training/big-data-hadoop/ [email protected] / +91-7718877477