Best Hadoop Developer course in Uttarakhand & Dehradun

Hadoop Developer Training



Big Data Hadoop Developer training delivers the key concepts and expertise necessary to develop robust data processing applications using Apache Hadoop. The interactive sessions and demonstrations carried by an industry expert will help the aspirants in understanding all the features and programming skills easily. The Hadoop developer course focuses on the fundamentals and advanced topics of Hadoop, MapReduce, Hadoop Distributed File System (HDFC), Hadoop cluster, Pig, Hive, Hbase, ZooKeeper, Sqoop, and Flume. Here at Brillica Services we provide Project based best Hadoop Developer Course in Uttarakhand & Dehradun.

Course Highlights

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

Pre-Requisite

The candidates with programming experience, preferably in Java can undergo this training.
However,the candidates with exposure to other programming languages PHP, Python, or C#can also get benefited from this training.

Course Content

  • Meet Hadoop
  • MapReduce
  • The Hadoop Distributed File System (HDFS)
  • Hadoop I/O
  • Developing a MapReduce Application
  • How MapReduce Works
  • MapReduce Types and Formats
  • MapReduce Features
  • Setting Up a Hadoop Cluster
  • Administering Hadoop
  • Pig
  • Hive
  • Hbase
  • ZooKeeper
  • Sqoop
  • Flume

Course Description

According to the developer’s website, “ Hadoop is a framework that allows for the distributed processing of huge data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.” The Hadoop market is expected to grow significantly between 2019 and 2025. There’s a progression here. Big Data is on the rise, so Hadoop’s demand rises, and that means an increase in Hadoop jobs, particularly Hadoop Developers.

Brillica services is a prominent leader in offering you an opportunity to transform your theoretical knowledge on Hadoop Developer Training, into the much preferred and job-oriented practical skill.

through multiple projects included in Hadoop Developer Training and certification course. Our diverse training delivery modes of Hadoop Developer Training course, offered in custom schedules, help corporate and individual learners find a best-fit learning solution mapping their career and training goals.

Course Objectives

Hadoop Developer Course in Uttarakhand & Dehradun at Brillica Services Helps You to :

Hadoop Developer Training

Implementing Hadoop Developer Training algorithms

concepts of Apache Hadoop, Hadoop Ecosystem, MapReduce, and HDFS

Set up different configurations of Hadoop cluster

Maintain and monitor Hadoop cluster by considering the optimal hardware and networking settings

Learn Pig, Hive, Hbase, ZooKeeper, Sqoop, Flume, and other projects from the Apache Hadoop ecosystem

Big Data Hadoop Architect Training Schedule and Duration

Course Name Duration
Hadoop Developer Training 60 hours

Upcoming Training Schedule

Month Weekdays Weekends Mode
December-2021 13/12/21 and 20/12/21
2 hours(Monday-Thursday) per day
18/12/21 and 19/12/21
3 hours(Saturday-Sunday) per day
Online/Offline
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-2021 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
March-2022 07/03/22 and 21/03/22
2 hours(Monday-Thursday) per day
27/03/22 and 28/03/22
3 hours(Saturday-Sunday) per day
April-2022 04/04/22 and 18/04/22
2 hours(Monday-Thursday) per day
24/04/22 and 25/04/22
3 hours(Saturday-Sunday) per day

FAQs Hadoop Developer Training

Ans : Hadoop is a framework that allows for the distributed processing of huge data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Ans.Image result for hadoop developer training Here are the skills required for Hadoop developer job:
Familiarity with Hadoop ecosystem and its components: obviously, a must! Ability to write reliable, manageable, and high-performance code. Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop.

Ans. Hadoop is a software framework explicitly created for Big Data management, storage, and processing. This growing adoption and demand for Hadoop services are creating a huge need for skilled Hadoop experts in the industry. Hadoop Developer is one of the many coveted Hadoop roles in demand right now.

Ans. Hadoop is built in Java but to work on Hadoop you didn't require Java. It is preferred if you know Java, then you can code on mapreduce. If you are not familiar with Java. You can focus your skills on Pig and Hive to perform the same functionality.

Ans So answer to this question is YES, YES and YES. There are many job openings for freshers in Big Data Hadoop field and you can understand the same from below openings. Just the main thing to grab these jobs is by showing Big Data talent in resume and interview.

Ans.Big Data developers will just develop applications in Pig, Hive, Spark, Map Reduce, etc. whereas the Hadoop developers will be mainly responsible for the coding, which will be used to process the data.

Ans If you are attempting to learn Hadoop on your own, it will take a lot of time. It will depend on the level of your intellect and learning skills. Still, you can expect it will take at least 4-6 months to master Hadoop certification.

Ans. Short answer is Yes. For those who are trying to start their careers, you can pick up Hadoop administration with relative ease. If you are already in a technical job and planning to switch careers, Hadoop administration is easy to get in to and this is true for someone who is trying to start their career as well.

Ans. A developer can take over the job of a Hadoop administrator whereas an admin can't play the role of a developer unless he has adequate programming knowledge. However, with the huge and complex production environment, now companies need dedicated Hadoop administrators.

Ans.Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.


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