Introduction to Big Data, Hadoop™, MapReduce

  • Hadoop cluster architecture
  • Data loading into HDFS
  • Roles and Responsibilities of a Hadoop Cluster Administrator
  • Hadoop architecture and Cluster setup

  • Hadoop server roles and their usage
  • Rack awareness
  • Write and Read
  • Replication Pipeline
  • Data Processing
  • Hadoop Installation and Initial Configuration
  • Deploying Hadoop in pseudo-distributed mode
  • Deploying a multi-node Hadoop cluster
  • Installing Hadoop Clients
  • Hadoop Cluster requirements

  • Selecting the appropriate hardware
  • Designing a scalable cluster
  • Building the cluster
    • Installing the Hadoop daemons
    • Optimizing the network architecture
  • Managing and scheduling jobs
  • Types of schedulers in Hadoop
  • Configuring the schedulers and run MapReduce jobs
  • Cluster monitoring and troubleshooting
  • Backup, recovery and security

  • How to manage hardware failures
  • Securing Hadoop clusters
  • Configuring Hadoop backup
  • Distcp to copy data
  • Cluster maintenance
  • Configuring HDFS Federation
  • Basics of Hadoop Platform Security
  • Securing the Platform
  • Configuring Kerberos
  • Ensuring a fail-safe HDFS

  • Isolating single points of failure
  • Maintaining High Availability
  • Triggering manual failover
  • Automating failover with Zookeeper
  • Extending HDFS resources
  • Managing the namespace volumes
  • Critiquing the YARN architecture
  • Identifying the new daemons
  • Maintaining HDFS and MapReduce

  • Starting and stopping Hadoop daemonso Monitoring HDFS status
  • Adding and removing data nodes
  • Managing MapReduce jobs
  • Tracking progress with monitoring tools
  • Commissioning and decommissioning compute nodes
  • Oozie, Hive, Pig, HBase Administration

  • Oozie
  • Hcatalog/Hive Administration
  • HBase Architecture
  • HBase setup
  • HBase and Hive Integration
  • HBase performance optimization

Contact Us

Tel: +91-8897400222
USA: +1-512-800-7568
EMAIL: info@mentorsinn.com


"The Bigdata Training was pretty good, it was a very good experience, and I am also looking forward to take more trainings from Mentors Inn on other technologies as and when required for me." -Sridevi (Hadoop)