Hadoop Training

Big data comprises of large volume of datasets which is very difficult to manage within the traditional computer. The big data includes huge volume, high velocity and extended variety of data.

Hadoop is an open source framework written in java which is used to manage the large volume of datasets by the clusters of computers using the mapreduce concept. Hadoop MapReduce is a software framework in which the map collects the large input of data and converts into the sets of data whereas the reduction of these datasets are performed after the map process. The most common file system used in the hadoop is Hadoop Distributed File System (HDFS) and it follows the master/slave technique. HBase is the column based distributed database management system in which the data is stored in the form of columns in the tables whereas the traditional RDBMS stores the data in the form of rows.

An unique opportunity to gain hands-on experience in Hadoop. This course provides the Best Hadoop training for Graduate and Post Graduate Engineering students and Research scholars specialized in Hadoop (B.E /B.Tech /M.E /M.Tech /M.S /Ph.D). Syllabus can be customized according to requirements of the student.

  • Introduction to Bigdata and Hadoop
  • Installation of single & multinode cluster in Hadoop and HBase
  • HDFS (Hadoop Distributed File System) Features & Commands
  • Five daemons of Hadoop
  • Architecture and Working of Mapreduce & HBase
  • Programming structure of Hadoop & HBase
  • Sample programs in Mapreduce
  • HBase shell Commands
  • Seating is limited, and pre-registration is required.
  • Weekdays and weekend classes
  • Unlimited Practical hours
  • Free software installation
  • Lot of samples for Mapreduce
  • Training Certificate
  • Softcopy of the materials