Providing Technology Training and Mentoring For Modern Technology Adoption
This 5 day training course provides System Administrators with a detailed understanding of all the skills required to operate and manage Hadoop clusters. It covers Installation, Configuration, Monitoring and Performance Tuning of Hadoop clusters in diversified Environments.
The course uses lectures and hands-on labs to explore the design, installation, setup, and administration of Apache Hadoop clusters. As well as Hadoop itself, the course introduces Big Data concepts and other members of the Hadoop ecosystem, including Hive, MapReduce, and YARN, as well as Pig, Oozie, Sqoop, HBase, and Flume
LAB 1: Installing, Configuring and Starting Hadoop 2.XLAB 2: Migrating from Hadoop 1.X to Hadoop 2.x
LAB 3: Working With HDFS Command.LAB 4: Using HDFS Administrative Command.LAB 5: Configuring a single node YARN Cluster and managing YARN Component.
LAB 6: MultiNode MultiRack Hadoop Configuration.LAB 7: Configuring High Availability for failover.LAB 8: Authentication using Kerberos.LAB 9: Implementing Service Level Authorization.LAB 10: Using Hadoop Auth to enable Kerberos SPNEGO authentication for HTTP.
LAB 11: Flume Data Collection onto HDFS with Avro Serialization.LAB 12: Managing RDBMS data using Sqoop.
LAB 13: Installing Hive and Configuring Hive with MySqlLAB 14: Install and Configure Pig.LAB 15: Working with Workflow using Oozie.LAB 16: Setting up HBase on a Hadoop cluster and working with HBase metadata.
LAB 17: Data collection, monitoring and analysis system for large clusters Using Chukwa.LAB 18: Installing and Setting up Ganglia to monitor MultiNode Hadoop Cluster.LAB 19: Monitoring Tool Analysis and Using Nagios to configure Alerts.
LAB 20: Rebalancing a Hadoop cluster.LAB 21: Managing Hadoop Cluster Health.LAB 22: Managing Memory of Resources.LAB 23: Managing and Provisioning Hadoop Cluster using Ambari.
LAB 24:Hadoop Installation and Configuration on Amazon EC2.LAB 25: Hadoop and MongoDB integration.LAB 26: Working with Spark.