Become a Big Data Administrator by learning concepts of Hadoop and implement advanced operations on Hadoop Clusters
This Hadoop Administration Training Course will provide you with all the skills in order to successful work as a Hadoop Administrator. This Course includes fundamentals of Hadoop, Hadoop Clusters, HDFS, MapReduce and HBase. The training will make you proficient in working with Hadoop clusters and deploy that knowledge on real world projects.
No prerequisites required for taking this training. Having a basic knowledge of Linux can help.
Hadoop Developers, Admin and Architects
IT managers, Support Engineers, QA professionals
Learn about Hadoop Architecture and its main components
Learn Hadoop installation and configuration
Deep dive into Hadoop Distributed File System (HDFS)
Understand MapReduce abstraction and its working
Troubleshoot cluster issues and recover from Node failures
Learn about Hive, Pig, Ooozie, Sqoop and Flume
Optimize Hadoop cluster for high performance
Prepare for the Hadoop CertificationIntroduction to Hadoop
The introduction to Hadoop, its significance for Big Data applications, comparing it with traditional database management systems, the history of Hadoop, its various components and the Hadoop Architecture.Hadoop Distributed File System (HDFS)
The overview of Hadoop Distributed File System, the architecture of HDFS, understanding how HDFS stores file in a distributed environment, the different Hadoop files systems failure components and the recoveries methodologies, understanding load-balancing in Hadoop cluster and block placement.Planning your Hadoop cluster
Designing, configuring of multi-node Hadoop cluster, capacity management, replicating of HDFS block, rack awareness in Hadoop, understanding the network topology of the Hadoop cluster.Hadoop Deployment
Hadoop installation steps, different types of Hadoop deployment, work profiling, best practices for disk, memory, and CPU allocations, understanding the distributed architecture of the Hadoop cluster.Working with HDFS
Detailed understanding of the working of HDFS, learning about the various operations in HDFS, various commands, how HDFS reads files, copying of data using ‘distcp’.Mapreduce Abstraction
Introduction to MapReduce abstraction, learning how it works on large datasets and about MapReduce abstraction, the mapping and reducing functions, the various components of the MapReduce process, various terminologies used, an example of the MapReduce process in real world.Hadoop Cluster Configuration
Configuring of Hadoop in the cluster, the various parameters and values for configuration, learning the various parameters in HDFS and MapReduce, the configuration files in Hadoop environment, include and exclude configuration files, a real world introduction to MapReduce performance tuning.Hadoop Administration and Maintenance
Introduction to Hadoop administration and maintenance, understanding the various directory structures and files, datanode and filenode, getting to know metadata and data backup, the various failure and recovery procedures, node addition and removal, maintaining Hadoop clusters, the MapReduce programming model, understanding of Schedulers.Hadoop Monitoring and Troubleshooting
Hadoop cluster monitoring and troubleshooting, deploying stack traces and logs for Hadoop cluster monitoring and troubleshooting, the various Open Source tools for monitoring of Hadoop clusters.Job Scheduling
Introduction to scheduling in Hadoop, the Fair Scheduler for enforcing fair sharing in each queue, the Capacity Scheduler for simulating the Hadoop cluster for FIFO, the configuration of Fair Scheduler.Project – Hadoop Multi Node Cluster Setup and Running Map Reduce Jobs on Amazon Ec2
Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup, Running Map Reduce Jobs on Cluster.Hadoop Admin Project
Project – Working with Map Reduce, Hive, Sqoop
Problem Statement – It describes that how to import mysql data using sqoop and querying it using hive and also describes that how to run the word count mapreduce job.
Project – Multinode Cluster Setup
Problem Statement – It includes following actions:
Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster , setup,Running Map Reduce Jobs on Cluster
Careermaker is the pioneer of Hadoop training. In this Hadoop administration training you will master the concepts of managing, monitoring and troubleshooting large Hadoop clusters, deploying various components on the cluster like HDFS, MapReduce, HBase. You will also learn to add new users, authenticate the users and secure the cluster in a foolproof manner. This training course is fully aligned with clearing the Cloudera Certified Administrator for Apache Hadoop (CCAH).
Careermaker offers lifetime access to videos, course materials, 24/7 Support, and course material upgrades to latest version at no extra fees. For Hadoop and Spark training you get the careermaker Proprietary Virtual Machine for Lifetime and free cloud access for 6 months for performing training exercises. Hence it is clearly a one-time investment. We are also exclusively partnered with IBM for providing you IBM Certified Hadoop Professional training as well.
If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Intellipaat even after completion of training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.
Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.
We provide you with the opportunity to work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various Hadoop components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, high technology and so on. The Intellipaat projects are equivalent to six months of relevant experience in the corporate world.
The careermaker self-paced training is for people who want to learn at their own leisurely pace. As part of this program we provide you with one-on-one sessions, doubt clearance over email, 24/7 Live Support, 1yr of cloud access and lifetime LMS and upgrade to the latest version at no extra cost. The prices of self-paced training can be 75% lesser than online training. While studying should you face any unexpected challenges then we shall arrange a Virtual LIVE session with the trainer.
Yes, if you would want to upgrade from the self-paced training to instructor-led training then you can easily do so by paying the difference of the fees amount and joining the next batch of classes which shall be separately notified to you.
Upon successful completion of training you have to take a set of quizzes, complete the projects and upon review and on scoring over 60% marks in the qualifying quiz the official Intellipaat verified certificate is awarded.The Intellipaat Certification is a seal of approval and is highly recognized in 80+ corporations around the world including many in the Fortune 500 list of companies.
This course is designed for clearing the Cloudera Certified Administrator for Apache Hadoop (CCAH) Exam. The entire training course content is in line with this certification program and helps you clear it with ease and get the best jobs in the top MNCs. As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.
At the end of this training program there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.
Careermaker Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% marks in the quiz. Bigdata certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.