Become an expert Hadoop Administrator by getting your hands-on Hadoop Clusters, including monitoring the Hadoop Distributed File System and Planning & Deployment. The course will also take a hands-on approach to the Hadoop Ecosystem, which consists of YARN, Map Reduce, HDFS, Cloudera Manager, Hadoop Cluster with Hive, HBase, Pig, Flume, and RDBMS using Sqoop.
Become a Hadoop Administrator by mastering Hadoop Clusters! Cognixia’s Big Data Hadoop Administrator course is specifically designed to provide a hands-on experience to install, configure, and manage the Apache Hadoop platform.
By the end of the module, the student will be able to understand the basics of big data, and will have the foundation of Hadoop daemons and Hadoop architecture.
By the end of the module, the student will be able to create a multi-node Hadoop cluster. Preparing students to create Hadoop clusters, this module gives a deep understanding of how Linux works, how to setup virtual machines, and how to set up the password-less SSH.
By the end of the module, the student will be able to understand how to plan a production cluster of Hadoop. Students will understand the hardware and software requirements of a Hadoop cluster, performance tuning after cluster creation, and benchmarking.
By the end of the module, the student will be able to administrate a Hadoop cluster. Students will understand how to copy data from one Hadoop cluster to another Hadoop cluster, how to use different Hadoop schedulers to run jobs, how to perform backup and recovery of metadata, data, configurations, and application data, and how to recover cluster data.
By end of the module, the student will be able to understand how the next version of Hadoop and YARN works. An understanding of the new features of Hadoop Version 2 and Yarn framework will also be provided, and the knowledge to deploy a Hadoop 2 cluster in a pseudo-distributed and multi distributed mode.
By the end of the module, the student will be able to learn how to achieve high availability, how to enable Federation in Namenode, and what the various improvements in Hadoop 2 are.
By end of the module, the student will be able to administrate the basics of Hadoop ecosystem components like Hive, Hbase, Sqoop, Flume, and Pig.
By the end of the module, the student will be able to build a multi-node Cloudera cluster using Cloudera Manager, will know how to achieve high availability, and how to add a new node into the cluster using Cloudera Manager.
We provide 35 hours of live online training including, live POC and assignments.
We provide 3 months of access to the Learning Management System (LMS), which you can access from across the globe.
We strive to offer the best price to our customers with the guarantee of quality service levels.
Yes, the course completion certificate is provided once you successfully complete the training program. You will be evaluated on parameters such as attendance in sessions, an objective examination, and other factors. Based on your overall performance, you will be certified by Cognixia.