Hadoop Training Online
Anyone can start Hadoop course with Basic knowledge of SQL. We provide a 30-hour Hadoop course taught by instructors with more than 10 years of real-time experience. The course includes real-world assignments and the faculty will direct you toward setting a work environment to practice assignments.
Assistance in CV preparation, interview questions answers, and materials are part of the training program. We do advise taking a one-hour session every day, From Monday through Friday, but one can also look into the weekend, fast-track, one-on-one, or customized programs.
- Real-time Project
- 100% Practical
- CV & Interview Help
- Placement Assistance
Hadoop Developer Career
✔️Hadoop Pre-requisites
Basic knowledge of SQL.
✔️Jobs On Hadoop
Top IT MNC such as Capgemini, Cognizant, IBM, Infosys, Accenture, etc.,
✔️Hadoop Developer Salary
The average salary for a Hadoop Developer with 4 years experience in India is ₹6 Lakhs.
✍️ Detailed Course Curriculum
Our Technical expert will help you with real time issues. He also guide you in certification preparation and career mentoring if required.
Hadoop Course FAQ's
01. can you help me in CV preparation?
Yes, We can help you preparing your resume.
02. will you help in interview preparation?
We can provide you interview question answers. The course covered many real-time examples. These examples might help you.
03. Is this course sufficient to get a job?
Our training covered as many real-time examples as we can. This course may equivalent to 2 to 3 years of work experience. You have to work hard if you are aimed at 4+ years of experience.
04. What’s the certification process?
Please come with an exam code. We’ll guide you further. We’ll guide you on how to get certified. Don’t worry, we’ll help you in certification process.
05. Can you provide Work Support?
We can provide job support for an additional fee. Contact the support team for fee details. You can choose either the hourly rate or monthly fee.
📒 Hadoop Course Outline
Introduction
- Overview of Bigdata and Hadoop
- Hadoop Ecosystem
- Type of Data
- Characteristics of Bigdata
HDFS:
- Architecture and Components
- Concepts(Block Storage and Replication)
- Advanced Concepts (HA, Federation)
- HDFS Commands
- Hands-on/Demo for all the above topics
YARN:
- Architecture and Components
- Difference between HDP 1.x and HDP 2.x
- Lifecycle of Yarn Application
Map-Reduce:
- rchitecture and Components
- Working of Map-Reduce(Map Phase and Reduce Phase)
- Wordcount problem
Hive:
- Architecture and Components
- Data Types
- Types of Tables
- Types of File Formats
- Concepts(Partitioning and Bucketing)
- Joins (All types of joins)
- Hands-on/Demo for all the above topics
Sqoop:
- Overview of Sqoop
- Architecture and Components
- Import tool
- Export tool
- Hands-on/Demo for all the above topics
Oozie:
- Overview of Oozie
- Defining oozie workflow
- Hands-on/Demo for all the above topics