Hadoop

Program Details

Program type Department Duration Program Fee
Certificate Course School of Computing Science
5 Days

Program Details

Understand Big Data and the limitations of the traditional solutions for Big Data problems, Hadoop solving techniques, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write and how to map-reduce works.

·         Pursuing or fresh diploma and degree students interested to acquire knowledge on Hadoop.

·         Working professionals who are interested to enhance their career in leading roles are eligible to be a part of the evening and weekend programs.

·         In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce

·         Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase

·         Instructor-Led-Training

·         Hands-on-Lab

·         Self paced learning with Guidance

·         Introduction to Big Data & Big

·         Data Challenges

·         Limitations & Solutions of Big

·         Data Architecture

·         Hadoop & its Features

·         Hadoop Ecosystem

·         Hadoop 2.x Core Components

·         Hadoop Storage: HDFS (Hadoop Distributed File System)

·         Hadoop Processing: MapReduce Framework Different Hadoop Distributions

Certification: NTTF Certification

Placement

NTTF Proud to provide Top Class Placement

NTTF hosts Campus Selections by the reputed industries across its centres pan India. Every year, campus selections are scheduled during January to May month. NTTF prepares the final year students – to face the interviews, industry etiquettes, induces self-confidence and makes them the true citizen of India through holistic training methodologies. NTTF Brand name is very popular in the industries especially in the Manufacturing, Automation, Information Technology and Computer Engineering sectors. Our trainees are placed in industries with attractive salaries.

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