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Big Data Hadoop Administrator Training course in Delhi and Dehradun

Big Data Hadoop Administrator Training



With data volumes expanding, Big Data Hadoop is a powerful java-based, open-source distributed processing framework that helps in managing and storing big data applications. Creating data clusters, Big Data Hadoop leverages cost-effective, scalable, optimized solution capable of automatic failover management.
Best Project based Internship on Big Data Hadoop Administrator Training course in Delhi and Dehradun,Uttarakhand .

Course Highlights

  • Instructor-led Classroom and Online
  • Training modes
  • Best-in-Class Training Curriculum
  • Beginner to Expert Level Training
  • Hands-on Programming Practice
  • Pro-Python Tips & Tricks Practice Activities
  • Unlimited Access - Online or Offline Flexible Guaranteed to Run Schedules
  • Self-Paced Learning

Pre-Requisite

There are no official pre-requisite to take Hadoop Administration training course. However, possessing basic understanding of Linux/Unix fundamentals, mathematics and statistics can be beneficial in having an easy take-off with the course

Course Content

  • Big Data & Hadoop Introduction
  • Hadoop Distributed File System & Hadoop Distributions
  • Hadoop Cluster Setup & Working with Hadoop Cluster
  • Hadoop Configurations & Daemon Logs
  • Hadoop Cluster Maintenance & Administration
  • Hadoop Computational Frameworks Scheduling Managing resources via Schedulers
  • Hadoop Cluster Planning
  • Hadoop Clients & HUE interface
  • Data Ingestion in Hadoop Cluster
  • Hadoop Ecosystem components/services Hadoop Security Securing Hadoop Cluster Cluster Monitoring/li>

Course Description

With data volumes expanding, Big Data Hadoop is a powerful java-based, open-source distributed processing framework that helps in managing and storing big data applications. Creating data clusters, Big Data Hadoop leverages cost-effective, scalable, optimized solution capable of automatic failover management.
Big Data Hadoop Administrator training course at Brillica Services helps you get acquainted with the effective Hadoop administrator activities such as planning, installing, monitoring and tuning data clusters

Our experienced and certified instructors help you to gain expertise in maintaining complex Hadoop Clusters and instil an in-depth knowledge of the holistic Big Data and Hadoop Administration concepts.
We help you attain the highest level of efficiency in rendering data processing and storage capabilities in Big Data and Hadoop administration with our industry-ready Big Data Hadoop training and certification course. Envisioned to provide with a comprehensive understanding of all critical steps to perform and protect/ manage Hadoop platform, our training is available in blended learning modes and custom schedules to suit your learning needs.

Course Objectives

Big Data Hadoop Administrator Training course at Brillica Services in Delhi and Dehradun Helps You to :

Hadoop Architecture and Hadoop Administrator�s role

Planning and deploying a Hadoop Cluster Determining the correct hardware and infrastructure for Hadoop Clusters

Allocating, distributing and managing data resources

Managing, maintaining, monitoring and troubleshooting a Hadoop Cluster

Configuration and deployment to integrate with the data centre

Maintaining cluster Security, Backup, and Recovery

Load Data and Run Applications

Configuration and Performance Tuning Name Node High Availability, HDFS Federation, YARN

Hands-On Project

Big Data Hadoop Administrator Training Schedule and Duration

Course Name Duration
Big Data Hadoop Administrator 3 Month

Upcoming Training Schedule

Month Weekdays Weekends Mode
October-2021 11/10/21 and 25/10/21
2 hours(Monday-Thursday) per day
16/10/21 and 17/10/21
3 hours(Saturday-Sunday) per day
Online/Offline
November-2021 15/11/21 and 30/11/21
2 hours(Monday-Thursday) per day
20/11/21 and 21/11/21
3 hours(Saturday-Sunday) per day
December-2021 13/12/21 and 27/12/21
2 hours(Monday-Thursday) per day
18/12/21 and 19/12/21
3 hours(Saturday-Sunday) per day
January-2022 03/01/22 and 24/01/22
2 hours(Monday-Thursday) per day
15/01/22 and 16/01/22
3 hours(Saturday-Sunday) per day
Feburary-2022 07/02/22 and 14/02/22
2 hours(Monday-Thursday) per day
19/02/22 and 20/02/22
3 hours(Saturday-Sunday) per day

FAQs Big Data Hadoop Administrator Training Course

Ans. As the name suggests, a Hadoop Administrator is one who administers and manages Hadoop clusters and all other resources in the entire Hadoop ecosystem. The role of a Hadoop Admin is mainly associated with tasks that involve installing and monitoring Hadoop clusters.

Ans. Big Data is treated like an asset, which can be valuable, whereas Hadoop is treated like a program to bring out the value from the asset, which is the main difference between Big Data and Hadoop.

Ans. 1. Prior knowledge of Hadoop is not necessary.
2. Little knowledge of Java, as Hadoop is Java-based.
3. Good knowledge of Linux, as Hadoop runs on Linux.
4. Fundamental Linux system administration skills such as Linux scripting (Perl / bash).
5. Good troubleshooting skills.

Ans. Instead of relying on expensive, and different systems to store and process data, Hadoop enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data. With Hadoop, no data is too big data.

Ans. Hadoop is used in big data applications that have to merge and join data - clickstream data, social media data, transaction data, or any other data format.

Ans. Hadoop is not a type of database, but rather a software ecosystem that allows for massively parallel computing. It is an enabler of certain types of NoSQL distributed databases (such as HBase), which can allow for data to be spread across thousands of servers with little reduction in performance.

Ans. HDFS is automatically installed with Hadoop on your Amazon EMR cluster, and you can use HDFS along with Amazon S3 to store your input and output data. You can easily encrypt HDFS using an Amazon EMR security configuration.

Ans. Financial services companies use analytics to assess risk, build investment models, and create trading algorithms; Hadoop has been used to help build and run those applications. Retailers use it to help analyze structured and unstructured data to better understand and serve their customers.

Ans. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.

Ans. Hadoop was created by Doug Cutting and Mike Cafarella in 2005. It was originally developed to support distribution for the Nutch search engine project. Doug, who was working at Yahoo! at the time and is now Chief Architect of Cloudera, named the project after his son's toy elephant.


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