Hadoop Admin

What is Hadoop Admin?

Hadoop Admin is a course suitable for candidates that are planning to start a career in Big Data. Hadoop admin handles duties that related to Hadoop architecture and its components, installation process, monitoring and troubleshooting of the complex Hadoop issues.

Our Approach:

Students are at the top of our priority list and we always make sure that every student is given the best training possible. In order to provide the best training, all our training modes have been made interactive sessions. Out of all the 4 training modes, the students are given an opportunity to choose a mode of training depending on their requirements. Different training methods have been introduced for individuals as well as for corporates. Unlike most of the online trainings today, Our Online trainings are interactive sessions and are similar to our classroom trainings. The student will be connecting to our Live virtual classroom where they will be able interact with the trainer.

We provide one of the best professional trainings within SAP in the industry. The courses are run by experts with ample industry experience on this subject matter. The course run are well up to professional standards with the latest  industry updates. Contact our team at Jenrac Technologies for all your queries.

By the end of this training you will:
- Understand the core concepts of Big Data module.
- Be able to apply the knowledge learned to progress in your career as an Big Data Developer.

Minimum knowledge of OOP languages like Core Java, python, Ruby. Recommended/Additional
Experience in the above mentioned languages is recommended but not essential.

Classroom Training: An Instructor led training in our dynamic learning environment based in our office at West London. The classroom is fitted with all the essential amenities needed to ensure a comfortable training experience and with this training you will have an opportunity to build a Networking with other learners, share experiences and develop social interaction.

Online: Unlike most organisations our online based training is a tutor led training system similar to the classroom based training in every given aspect making it more convenient to the students from any location around the world and also cost effective.

Onsite: This training is specifically made for the Corporate clients who wish to train their staff in different technologies. The clients are given an opportunity where they can tailor the duration of course according to their requirements and the training can be delivered in house/ at your location of choice or online.

Customised one to one: A tailored course for students looking for undeterred attention from the tutor at all the times. The duration of course and contents of the course are specifically customised to suite the students requirements. In addition to it the timings of the trainings can also be customised based on the availability of both the tutor as well as the student.

Contractors can expect to earn between £300 and £500 per day depending on the experience. Permanent roles on average offer a salary of between £30 and £60k per annum, again depending on the experience required for the job.

Although there is no guarantee of a job on course completion we are almost certain that you should be able to find a suitable position within a few weeks after successful completion of the course. As a part of Placement service, we offer CV reviewing in which your CV would be reviewed by our experts and essential modifications to be made would be recommended so that your CV suits perfectly to the kind of training you have taken.

Course Preview

- What is Big Data ?
- Big Data Facts
- The Three V’s of Big Data

- What is Hadoop ?
- Why learn Hadoop ?
- Relational Databases Versace Hadoop
- Motivation for Hadoop
- 6 Key Hadoop Data Types

- What is HDFS ?
- HDFS components
- Understanding Block storage
- The Name Node
- The Data Nodes
- Data Node Failures
- HDFS Commands
- HDFS File Permissions

- MapReduce Overview
- Understanding MapReduce
- The Map Phase
- The Reduce Phase
- WordCount in MapReduce
- Running MapReduce Job

- Single Node Cluster Configuration
- Multi Node Cluster Configuration

- Checking HDFS Status
- Cluster Breaking
- Copying the Data b/w Clusters
- Adding & Removing Cluster Nodes
- Rebalancing the cluster
- Name Node Metadata Backup
- Cluster Upgrading

- Sqoop
- Flume
- Hive
- Pig
- HBase
- Oozie

- Managing Jobs
- The FIFO Scheduler
- The Fair Schedule
- How to stop & start jobs running on the cluster

- General System conditions to Monitor
- Name Node & Job Tracker Web Uis
- View & Manage Hadoop’s Log files
- Ganglia Monitoring Tool
- Common cluster issues & their resolutions
- Benchmark your cluster’s performance

- How to use Sqoop to import data from RDBMSs to HDFS
- How to gather logs from multiple systems using Flume
- Features of Hive, Hbase & Pig
- How to populate HDFS from external Sources