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Hadoop Administration Rated 4.5/5 based on 340 customer reviews

Hadoop Administration Training in Gurgaon, India

Learn ways to implement, manage the ongoing administration of a Hadoop cluster and to build powerful applications to analyse Big Data

  • 24 hours of Instructor-led sessions
  • Basic to Advanced level
  • Hands-on learning
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Modes of Delivery

Key Features

24 hours of Instructor-led training classes
Interactive hands-on classroom sessions
Understand the concept of Hadoop Distributed File System (HDFS)
Learn to configure, deploy and maintain a Hadoop cluster, and to confidently navigate the Hadoop ecosystem
Build powerful applications to analyse Big Data & monitor hadoop cluster
Our Hadoop Administration experts will help students in implementing the technologies for future projects

Description

It has been predicted that Hadoop would be adopted by most of the Fortune 2000 organizations by 2020. This is not a surprise given that Big Data drives business intelligence and Hadoop can help analyse Big Data and aid in business development. As organizations are racing towards exploring the benefits of Hadoop, they are on the lookout for qualified, professional Hadoop specialists who have the technical expertise to manage Hadoop clusters in a development or production environment. Zeolearn’s course on Hadoop Administration introduces you to the fundamental concepts of Apache Hadoop™ and Hadoop cluster. Through hands on exercises and practice sessions you will learn to configure, deploy and maintain a Hadoop cluster, and to confidently navigate the Hadoop ecosystem. By the end of this session you will learn how to configure backup options, diagnose and recover node failures, and address any challenges related to Big Data and cloud services.

Here’s what you will learn!

  • Implement and manage the ongoing administration of a Hadoop cluster
  • Build powerful applications to analyse Big Data and learn to manage and monitor the Hadoop cluster
  • Ensure performance tuning of Hadoop clusters and Hadoop MapReduce routines

Is this course right for you?

System administrators, DBAs, Software architects, IT Managers, System Administrators and even students who want to learn about Hadoop will benefit from this course.

What do you need to be familiar with?

  • Basic knowledge of Linux
  • Knowledge of algorithms and computer science technicalities will also help

 

Curriculum

  1. Hadoop cluster architecture
  2. Data loading into HDFS
  3. Roles and Responsibilities of a Hadoop Cluster Administrator
  1. Hadoop server roles and their usage
  2. Rack awareness
  3. Write and Read
  4. Replication Pipeline
  5. Data Processing
  6. Hadoop Installation and Initial Configuration
  7. Deploying Hadoop in pseudo-distributed mode
  8. Deploying a multi-node Hadoop cluster
  9. Installing Hadoop Clients
  1. Selecting the appropriate hardware
  2. Designing a scalable cluster
  3. Building the cluster
    • Installing the Hadoop daemons
    • Optimizing the network architecture
  4. Managing and scheduling jobs
  5. Types of schedulers in Hadoop
  6. Configuring the schedulers and run MapReduce jobs
  7. Cluster monitoring and troubleshooting
  1. How to manage hardware failures
  2. Securing Hadoop clusters
  3. Configuring Hadoop backup
  4. Distcp to copy data
  5. Cluster maintenance
  6. Configuring HDFS Federation
  7. Basics of Hadoop Platform Security
  8. Securing the Platform
  9. Configuring Kerberos
  1. Isolating single points of failure
  2. Maintaining High Availability
  3. Triggering manual failover
  4. Automating failover with Zookeeper
  5. Extending HDFS resources
  6. Managing the namespace volumes
  7. Critiquing the YARN architecture
  8. Identifying the new daemons
  1. Starting and stopping Hadoop daemonso Monitoring HDFS status
  2. Adding and removing data nodes
  3. Managing MapReduce jobs
  4. Tracking progress with monitoring tools
  5. Commissioning and decommissioning compute nodes
  1. Oozie
  2. Hcatalog/Hive Administration
  3. HBase Architecture
  4. HBase setup
  5. HBase and Hive Integration
  6. HBase performance optimization

Frequently Asked Questions

Apache Hadoop™ is a dynamic platform that aids in distributed processing of large data sets across clusters of computers and servers. That makes it a vital technology in this era of Big Data analytics and processing. You can be an integral part of the data value chain, setting up and maintaining complex data sets while also enabling high-value analytics.Our course will teach you how to use Apache Hadoop™ and perform an administrator’s responsibilities of setting up, deploying and managing Hadoop clusters. With in-depth courseware and expert guidance from our faculty you will learn to tackle everyday problems and steer your career on the success path.
After completing our course, you will be able to:
  • Understand the concept of Hadoop Distributed File System (HDFS)
  • Build powerful applications using Apache Hadoop™ and analyse Big Data
  • Setup, manage and monitor Hadoop cluster
  • Understand how to deal with hardware failures and ensure data safety and recovery by implementing solutions
  • Get a fundamental understanding of Pig scripting language
  • To install Hive, run HiveQL queries to create tables, load data etc
  • Use Apache Sqoop to transfer data between Hadoop and relational databases
  • Use HBase to perform real-time read/write access to Big Data
Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will build a Hadoop cluster, with full support from your mentors and use this Hadoop implementation to solve Big Data problems. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.
Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.
You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.
  • Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.
  • You may also attend these classes from your smart phone or tablet. 
Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

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Hadoop Administration Course in Gurgaon

Hadoop Administration

Big Data is a force that drives business. Hadoop is a software device that analyses Big Data and helps in business production. Hadoop specialists are much in demand. Zeolearn’s Hadoop Administration Training in Gurgaon teaches the basic notions of Apache Hadoop and Hadoop clusters. You learn of the Hadoop Distributed File System (HDFS). You learn to handle hardware failures and guarantee the safety of data and its improvement by proper solutions. You get to comprehend the basics of Pig scripting language. You learn to manage the Hadoop ecosystem with confidence. At the end of the Hadoop Administration Training in Gurgaon, you will be able to address any problems concerning Big Data and the Cloud Services. To enrol in the Hadoop Admin Classes in Gurgaon you should have some basic notions of Linux and of algorithms.

Details of Training

In the Hadoop Administration Course in Gurgaon, you will be guided by the best in the field. At the end of the course, you will be asked to do a project i.e. build a Hadoop cluster. You will be assisted by your tutor. The courseware will cover all the aspects of what is being taught. You will profit if you put in eight to ten hours of study a week. The Hadoop Administration Course in Gurgaon is an online session of twenty-four hours. It is a popular mode of delivery because of the convenience it offers. The Hadoop Administration Certification in Gurgaon has two formats: a weekday format and a weekend one. The weekday format runs for twelve days with two hours of class a day. The weekend course is four hours a day, for three weekends. The cost of the online course is INR 24999. There is a big concession for subsequent courses if you enrol within a validity period. The fee is then INR 19999. On completion of the course, you will receive a Course Completion Certificate.

 

 

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