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Hadoop Developer Online training

17,000.00 15,000.00


  • checkbox Instructor led training of 25 hours
  • checkbox Lifetime access to the Learning Management System
  • checkbox Class Recording
  • checkbox Real Time Projects
  • checkbox Free VM for Lab

checkbox Recommended Certification :-

Cloudera Certified Associate Data Analyst HDP Certified Developer

 

Description

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Syllabus & Projects

Introduction to Big Data

  1. Big Data Overview and History
  2. Introduction To Big Data
  3. Sources of Big Data
  4. Definition of Big Data
  5. Types of Data
  6. 4 V’s of Big Data
  7. Big Data vs. RDBMS
  8. Case studies
    Amazon recommendation list
    Facebook “People you may know” Feature

Introduction to Hadoop

  1. What is Hadoop
  2. How Hadoop is a solution to the big data problem.
  3. How ‘Hadoop’ got its name and logo
  4. History of hadoop
  5. Hadoop(2.x) Core components
  6. Hadoop master slave architecture
  7. Different Hadoop Distributions

Hadoop Ecosystem

  1. Overview
  2. Introduction
  3. Components HDFS , YARN , Map Reduce, Spark, PIG, HIVE, HBase, Mahout, Spark, MLLib, Solar,Lucene, Zookeeper, Oozie

Hadoop Distributed File System (HDFS)

  1. Concept
  2. Architecture
  3. Installation and setting up the HDFS Cluster
  4. Functions of different components
  5. Difference between Hadoop 1.x & 2.x

YARN

  1. What is YARN
  2. Components of YARN
  3. YARN Architecture

Map Reduce

  1. Basic concept
  2. Architecture
  3. Lab Session
  4. How to launch a Map Reduce Job
  5. Writing a Map Task
  6. Configuration

Apache Hive

  1. Hive Introduction
  2. Understanding Hive Architecture
  3. Relational Database vs Hive
  4. Hive Installation
  5. HiveQL
  6. UDF/SerDe
  7. Hive Tuning

Apache Pig

  1. Pig Architecture
  2. Pig Components
  3. Pig Installation
  4. Pig vs. Map Reduce

Apache Oozie

  1. Oozie
  2. installation
  3. How it works
  4. Workflow/coordinator
  5. Oozie CLI

Apache Sqoop

  1. Features of Sqoop
  2. How it works
  3. Sqoop import & Export

Apache Flume

  1. What is Apache Flume
  2. Architecture
  3. Illustration–Facebook and Twitter data generators

Apache Kafka

  1. What is Kafka
  2. Architecture
  3. Workflow
  4. Installation

Apache Solar

  1. How it works

Apache Mahout

  1. Quick introduction
  2. Mahout–Machine Learning

Apache Avro

  1. Features
  2. Uses
  3. Avro schema

HBase

Introduction to Hbase
Application of Hbase
Understanding HBase data model & Architecture
Accessing HBase Tables through Hbase – shell Commands
Installation
HBase API
Lab Session

Apache Spark

  1. What is Apache Spark
  2. The Spark stack
  3. Resilient Distributed Datasets
  4. Installation
  5. Programming with RDDs
  6. Advanced Spark programming

Career in Big Data

  1. Big Data Certifications
  2. Big Data engineer job responsibilities
  3. Big Data Career growth

Hadoop is 100% open source Java‐based programming framework that supports the processing of large data sets in a distributed computing environment. To process and store the data, It utilises inexpensive, industry‐standard servers. The key features of Hadoop are Cost effective system, Scalability, Parallel processing of distributed data, Data locality optimisation and Automatic failover management .

This course will help you to comprehend Hadoop ecosystem, understanding of HDFS and MapReduce Programming, how to set up an environment for the same, how to submit and execute MapReduce applications.You may start with no knowledge in Hadoop and this training will help you setup hadoop and learn hadoop and mapReduce programming to a level you can get ready to face certification exam from Cloudera:

This training will also teach you how to  install, implement various components of Hadoop like Pig, Hive, Flume, Sqoop and YARN.

  • Regular classes – 4 weeks
  • Weekend Classes – 6 weeks
  • Customized Fast Track option is available as well. Call +91-8049202039 now to customize according to your requirement

  • Experienced IT professionals
  • Having hands on practical knowledge
  • With experience of training large batches in both offline and online mode

  • Online Self Paced Training (SPT) with Videos and Documents
  • Online Instructor Led Training (ILT)

About the course:

Study9 provides a robust job market focused hadoop admin training. Our hadoop admin course is designed with the right mix of basic and advanced topics to get one started in the domain and enable a person to get a good job in this competitive market. Our hadoop admin trainers are experienced professionals with hands on knowledge of hadoop admin projects. The hadoop admin course content is designed with keeping the current job market’s demands in mind.Our hadoop admin training course is value for money and tailor made for our students.

About Study9 Training Method


The Study9 hadoop admin training courses are completely online training courses. The online hadoop admin training is given using advanced training softwares to make the students comfortable with the online training. The student and teacher can talk over VOIP software, they can share each others screens, share hadoop admin course contents and concerns during the class through chat window and even can see each other using Webcams. The time tested proven online hadoop admin training methodologies adopted by study9 are of the most advanced ones in India. The student will feel at ease with the hadoop admin training mode. And we are so confident on that, we offer a moneyback if the student is not satisfied with first hadoop admin Training class.

The cloud based hadoop admin training course contents are accessible from anywhere in the world. Study9 provides access for each student to an online Learning Management System that holds all the slides and videos that are part of the hadoop admin training courses. The students can access them from their Laptop, Mobile, Tablets etc. The students will also give hadoop admin training exams on this Learning Management System and our expert hadoop admin trainers will rate their papers and provide certifications on successful completion of these hadoop admin training exams.

The best part of this online hadoop admin training approach is that it does not require one to waste time by travelling to a particular hadoop admin training center. And the timings are flexible so that if someday the student has problems in taking the morning hadoop admin training class he/she can fix an alternate time in the evening in discussion with hadoop admin trainer. On need basis our hadoop admin trainers can take a class in late night as well. On request basis missed hadoop admin training class sessions can even be given as video lectures to the student for them to go through to be prepared for the next class.

Additional information

Mode of Training

Video Training (Self Paced), Online Instructor Led Live Training, Classroom Training

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