Apache Hadoop Administration Training Certification Course
Big Data industry is growing at a rate of 10% each year. The big data administration training offered by AcadGild has been such designed to provide adequate exposure to big data for beginners as well as experienced professionals and gain sufficient proficiency over core components of big data, Apache tools, and Hadoop ecosystem.
Acadgild gets ranked as one of the Top 10 Worldwide Technology Boot Camps.
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36Hours of Mentoring Sessions
1.5hrs per session | 200hrs of Assignments & Projects
Introduction to Big Data Administration
Get introduced to big data, big data problems in real world, unstructured data, big data processing issues and job trends in big data.
Comprehensive Understanding The Steps to Operate and Maintain a Hadoop Cluster
Learn how to install, configure, manage the Hadoop platform and deploy, manage, monitor Hadoop Clusters. Gain an in-depth knowledge on Hadoop architecture and administration.
Big Data Core Components & Apache Tools
Get well versed with the Hadoop components - HDFS, MapReduce and Apache tools - Sqoop and Flume, Hbase set up and architecture, Pig, Hive, Apache Oozie, MapR fundamentals. Set up a real time Hadoop cluster. Understand backup recovery, upgradation and maintenance.
Advanced Hadoop Admin concepts
Gain expertise in setting up real Hadoop cluster, planning considerations, hardware planning, back up of cluster data, Distcp, quota management and trash server. Learn about secondary namenode, safemode in Hadoop, user quota management, decommissioning and commissioning of node, upgrade process, Hadoop security and high availability with Quorum Journal Manager.
Work with Real world Hadoop Projects and Various Hadoop distribution
Gain hands-on expertise of working on a real-time project. Work using Cloudera Manager and Apache Ambari, Apache Hadoop installation and cluster setup on AWS EC2 (Linux).
Mentee can select project from predefined set of AcadGild projects or they can come up with their own ideas for their projects
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Projects Which Students Will Develop
Creating a 6 Node Hadoop Cluster
Create a 6 Node Hadoop cluster with one separate machine for NameNode, Job Tracker and Secondary NameNode with 3 machines running as slave nodes and configure the default Secondary NameNode snapshot interval as 3 hours.
Create Hadoop Federation
Create a 4 node Hadoop cluster with Sqoop, MySQL installed in it and implement the federation feature in the cluster and check the federation feature by letting NameNode down.
Create Hadoop Cluster With All Its Ecosystems (Pig, Hive, Oozie)
Create a 5 node Hadoop cluster with Hadoop 2.6.0 installed. The block size needs to be 128 MB. The Resource Manager should run in port 60300. Configure 3 data nodes. Create a client machine. Install Pig and Hive in client machine and Install and setup Oozie. Test the cluster by launching sample Hive and Pig jobs.
Create High Availability Hadoop Cluster
Create a 4 node Hadoop cluster with Hadoop 2.6.0 installed with high availability enabled on the cluster using Quorum Journal Manager and check the health of Zookeeper and high availability functionality.
Create Multi-node HBase Cluster.
Create a 4 node Hadoop cluster with built-in Zookeeper with HBase. The cluster should have one Namenode, one Resource Manager and two Datanodes. Datanode 1 and 2 will be region servers.
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Digital Marketing Executive at Phoenix Mills Ltd(Phoenix Marketcity) ,Bangalore
Joining ACADGILD was a turning point in my professional life. Although I come from an engineering background with coding knowledge, how to implement it to my full potential was something which I explored here. The mentors here are experts in their field who help, guide and motivate you constantly.
The support from tutor and management was excellent. With a lot of confidence i am going ahead coding kool apps. Thanks for the help and effort put by ACADGILD to make me become better Developer.
Android Developer & Co Founder at oDo
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Developer at Hewlett-Packard, Bangalore
I have undergone training from AcadGild in Android . I feel confident about developing an Android app now. My mentor, Ashwini was very good. Her assistance helped me to complete the project. I am looking forward to enrol myself for more courses at AcadGild.
It was a great experience to learn Android from my mentor, Preetika. I had never imagined that we could learn Android through online lectures so effectively.Although I had a very basic knowledge of Android, I felt as knowledgeable as my experienced colleagues, thanks Acadgild.
Director of computer academy at EKLAVYA COMPUTERS,Aurangabad
The big data and Hadoop administration course is designed to provide knowledge and skills to become a successful Hadoop Administrator. It starts with the fundamental concepts of Apache Hadoop and Hadoop cluster and covers topics to create, configure, manage, monitor and secure a Hadoop cluster. The course will also cover HBase administration so after completion of Hadoop administration course one will be prepared to understand and solve problems that you may come across while working on Hadoop cluster.
This course is suitable for Systems Administrators, Windows Administrators, Linux Administrators, Infrastructure Engineers, DB Administrators, Big Data Architects, Mainframe Professionals and IT managers who are interested in learning Hadoop Administration.
This course will help you in starting your career in Hadoop Administration as well as sharpen your Linux and Administration skills to build and maintain the Hadoop cluster for existing big data projects.
A Data Scientist takes the business need and as per the need prepares the plan to implement the analytics project. Data scientist possesses both the skills of a software engineer and an applied scientist. On the other hand, Big Data System Administrator or Big Data Administrator’s role is to construct, install, and maintain the cluster as well as add new components in existing Big Data cluster.
If you decide to leave within the first week of class starts, we refund fully.
If you decide to leave before the class starts, 50% of the total paid fee would be deducted and the remaining amount will be refunded to the user.
The refund policy would be applied if the total amount paid is more than 50% of the course fees.
If a user is opting for a complementary course, then the refund policy would be applied only on the 1st course.
The classes are held on weekends as well as on weekdays. You can enroll for a batch that is convenient to suit your personal schedule.
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