520+ Hadoop Training in Chennai

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    Hadoop is an open-source software framework that allows you to first store Big Data in a distributed environment, so that, it can be processed simulataneously making the ability to handle multiple tasks with ease. There are basically two components in Hadoop, HDFS and YARN. HDFS (Hadoop distributed File System) for storage , that allows you to store data of various formats across a cluster. The second one is YARN (Yet Another Resource Negotiator), for resource management in Hadoop. It allows parallel processing over the data which is stored across HDFS.
    Currently there is a huge demand in Industry for Hadoop. Join immediately to learn Hadoop from our 780+ Hadoop training institutes in Chennai with highly experienced trainers.

    Hadoop Training in Chennai as on Apr 26, 2018

    1. +91 44 46281523
      Hadoop Training, Informatica training
      We are a leading Training & Certification Company in Chennai offering Corporate Training Programs, Distance Education Programs and IT Education Courses in diversified areas.
      Hours of Operation: Mon-Sat 09:00 am - 08:00 pm, Sun 09:00 am - 06:00 pm
    2. Eyeopen Technologies, Anna Nagar

      200 Reviews 8.7 Sulekha Score
      +91 44 46294295
      Hadoop Training, Big data & Hadoop training
      We leverage the most advanced learning technologies to develop best quality education and services that delivers measurable results.
      Hours of Operation: Mon-Sat 08:00 am - 08:00 pm, Sun 10:00 am - 05:00 pm
    3. SLA, KK Nagar

      21 Reviews 7.7 Sulekha Score
      +91 44 46292890
      Hadoop Training, Big data & Hadoop training

      SLA ,No. 10, P.T. Rajan Salai, KK Nagar, Chennai - 600078 Get Directions

    4. Cloud Solution, T. Nagar

      11 Reviews 4.3 Sulekha Score
      +91 44 49850216
      Hadoop Training, Big data & Hadoop training

      No. 26, South West Boag Road, T. Nagar, Chennai - 600017 Get Directions

    5. +91 44 49912701
      Hadoop Training, SAS training
      Hours of Operation:
      Mon-Sun 10:00 am - 06:00 pm
    6. TLEAD Computer Education, Tharamani

      26 Reviews 9.7 Sulekha Score
      +91 44 46291226
      Hadoop Training, Informatica training
      Tlead Computer Education and Placement is a Chennai based Software Training company delivers High Quality Training and Job support. We had good record to delivery excellent training on different technologies like Big Data, Java,.NET,Python,Django,C,C++,Testing and all.
      Hours of Operation: Mon-Sun Open 24 hours
    7. +91 44 49850524
      Hadoop Training, SAS training

      Plot No. 2, VSR Complex, 2nd Floor, Taramani Link Road, Velachery, Chennai - 600042 Get Directions

    8. +91 44 46292216
      Hadoop Training, Big data & Hadoop training
      We provide the necessary certification for Hadoop training course in Chennai. Also, we have affiliations with various companies and have partnered with several training facilities to ensure that you get the best Hadoop Bigdata training available.
      Hours of Operation: Mon-Sun 08:00 am - 06:00 pm
    9. +91 44 49851092
      Hadoop Training, Big data & Hadoop training
      We are a leading provider of IT training institutes, provide training to Multinational and corporate IT houses.
      Hours of Operation: Mon-Sat 07:00 am - 08:00 pm, Sun (Closed)
    10. Dreamsplus Consulting Pvt. Ltd., T. Nagar

      17 Reviews 4.6 Sulekha Score
      +91 44 49854902
      Hadoop Training, Big data & Hadoop training
      The Big Data Hadoop developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark and Data Science.
      Hours of Operation: Mon-Sun 09:00 am - 08:00 pm
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    7 Reviews of Hadoop Training in Chennai as on Apr 26, 2018

    Average Rating (4) - 7 reviews
    1. 4th March, 2018

      I have joined in Besant technlogies Software training for Hadoop.This training instritute training us very well. always he gave real time examples for our understanding purpose.All the classes where very informative . i had acquired good knowledge in HADOOP and was able to handle programs easily.The trainers were very good knowledge in their respective areas

    2. 25th February, 2018

      Besant technologies is a very good training institute. I completed my Big data & Hadoop training course there. They provide experienced trainers and good teaching. Thank you my tutor sir for your support. Thank you the Team Besant...

    3. 8th November, 2017

      This institute combines a great sense of humor with a low-key approach that makes learning fun!  I enjoyed taking big data course and would love taking additional classes taught by them.it was a 2.5-month course duration and the course fee was 15000.I really liked tutors and highly recommend this Academy.

    4. 16th October, 2017

      Attended my Apache Spark training here. They have one of the experienced and trained faculty for the students. The class is a regular batch with 3 months as course duration and they have provided study materials. Total fee paid was very normal for the courses which were around 15000. happy to choose this Institute

    5. 15th September, 2017

      To do Big data & Hadoop training, I have joined in this Institute. the course duration was 90 days & I have paid the fees amount of 17000.This institute is very nice. The teacher and staffs were experienced and well qualified in teaching and they are providing the best Training. I am happy and satisfied with their services and facilities.

    6. 22nd August, 2017

      Searching for the good institute to join Big data & Hadoop training and I visit and attend the demo class from this Institute. They are very good and experienced and the faculties are friendly. The fees structure was also very affordable they are charging 18000. I am glad to join in this institute.

    7. 12th August, 2017

      I joined here for the Hadoop training course. Best centre for freshers as well as who wants to get well knowledge about on Hadoop. We had a very good trainer, who has well experienced and explains each and every concepts very clear. This is one of the best institute to learn the courses.

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    • Hadoop Training – Common FAQs

      • Who can take up this course?

        If you’re an IT career aspirant desperate to land in a Hadoop or Data Science career or working IT professional planning to switch to a demanding platform, you should never miss enrolling for this Hadoop training course.

      • What is the eligibility to pursue this course?

        Except a graduation/Diploma related to computer science, there are no much prerequisites required for learning this course. Since this Hadoop training course covers concepts from basics, the following prerequisites helps you to skip to expert level syllabus.

        • Diploma/Bachelor/Master degree education in the field of IT/CSE
        • Fair idea about the Linux system
        • Understanding the Mainframe, DWH, and basic data science concepts
      • What is Career Scope of Hadoop?

        Chennai, in spite of being an industrial hub, it had attracted many top leading IT companies. After completing this Hadoop training course, you’ve bright options to land in top leading IT companies in Chennai, such as Amazon, Oracle India, Tata Consultancy Services, Cognizant Technology Solutions, and Renault Nissan Technology, etc.

      • What are the expert level certification exams I can accomplish after this course?

        Below are the list of expert certification exams which you can apply after accomplishing this Hadoop training course from our service partners,

        • CCDH (Cloudera Certified Developer for Apache Hadoop)
        • CCAH (Cloudera Certified Administrator for Apache Hadoop)
        • CCSHB (Cloudera Certified Specialist in Apache HBase)
        • HDPCD (Hortonworks Data Platform Certified Developer)
        • HDPCA (Hortonworks Data Platform Certified Administrator)
        • HDPCD: Java (Hortonworks Data Platform Certified Developer: Java)
        • MCHA (MapR Certified Hadoop Administrator)
        • MCHD (MapR Certified Hadoop Developer)
        • MCHBD (MapR Certified HBase Developer)

      Course Highlights

      • Typically, the training course duration would range between 40 to 90-hour sessions.
      • The classes can be either on weekdays or weekends depending on the preferences of the student.
      • All the session will be 100% practical oriented and based on real-time scenario.
      • Depending on the first come first served basis, you can even get an additional discount of 10% – 15% of the course fee.
      • Courses are available for Beginners, Intermediate level and Expert Level learners.

      Other Key Highlights

      • Classes missed by the student are compensated with backup sessions
      • Course curriculum is designed by the experts in the industry and customized to meet the demand in the job market
      • 100% placement assistance

      Course Overview

      • Introduction to Big Data and Hadoop
      • What is Big Data?
      • The Rise of Bytes
      • Data Explosion and its Sources
      • Types of Data – Structured, Semi-structured, Unstructured data
      • Characteristics of Big Data
      • Limitations of Traditional Large-Scale Systems
      • Use Cases for BigData
      • Challenges of BigData
      • Hadoop Introduction - What is Hadoop? Why Hadoop?
      • Supported Operating Systems
      • Organizations using Hadoop
      • Hadoop Job Trends
      • History of Hadoop
      • Hadoop Core Components – Map Reduce & HDFS Hadoop Setup
      • Deployment Modes – Standalone Mode, Pseudo-Distributed Mode, Fully-Distributed Mode
      • Pseudo-Distributed Mode Virtual Machine Setup on Windows
      • VMWare Player - Introduction
      • Install VMWare
      • Create a VM in VMWare
      • Download and Install Hadoop Packages
      • Configuration parameters and values
      • HDFS parameters
      • Map Reduce parameters
      • YARN parameters
      • Hadoop environment setup
      • Environment variables
      • Hadoop Configuration
      • HDFS, Map Reduce, and YARN parameters
      • Hadoop Core Services – Daemon Process Status using JPS
      • Hadoop WebUI
      • Eclipse development environment setup

      HDFS Architecture Overview

      • Introduction to Hadoop Distributed File System
      • Regular File System v/s HDFS
      • HDFS Architecture
      • Components of HDFS - NameNode, DataNode, SecondayNameNode
      • HDFS Features - Fault Tolerance, Horizontal Scaling, Data Replication, Rack Awareness
      • Anatomy of a file write on HDFS
      • Anatomy of a file read on HDFS
      • Hands on with Hadoop HDFS, WebUI and Linux Terminal Commands
      • HDFS File System Operations
      • Name Node Metadata, File System Namespace, Name Node Operation,
      • Data Block Split
      • Benefits of Data Block Approach
      • HDFS - Block Replication Architecture, Block placement, Replication Method, Data Replication Topology, Network Topology, Data Replication Representation
      • HDFS Programming Basics – Java API
      • Java API Introduction
      • Hadoop Configuration API
      • HDFS API Overview
      • When Hadoop is not suitable Map Reduce
      • What is Map Reduce and Why it is popular
      • Map Reduce Framework– Introduction, Driver, Mapper, Reducer, Combiner, Split, Shuffle & Sort
      • Example: Word Count the Hello World of Map Reduce
      • Use cases of Map Reduce
      • Real-time use cases of Map Reduce
      • Input Splits in Map Reduce
      • Hands on with Map Reduce Programming
      • Map Reduce Architecture
      • Responsibility of Job Tracker, Task Tracker in classic Map Reduce v1
      • Running on Local Job Runner v/s Cluster
      • Packaging Map Reduce Jobs in a JAR
      • Responsibility of Job Tracker, Task Tracker in classic Map Reduce v1
      • Anatomy of Map Reduce Jobs Execution in classic MRv1(JT, TT)
      • Understanding Input/output Format, Sequence Input/output format
      • Joins in Map Reduce

      YARN Architecture Overview

      • Hadoop 1.0 Limitations
      • Map Reduce Limitations
      • YARN Architecture
      • Classic vs. YARN
      • Speculative Execution
      • Understanding Data Types of Keys and Values
      • Map Reduce and YARN command line tools
      • Anatomy of Map Reduce Jobs Execution MRv2 - YARN (RM, AM, NM)
      • Distributed Cache Hive
      • Limitations of Map Reduce
      • Need for High-Level Languages
      • Analytical OLAP - Data warehousing with Apache Hive
      • What is Hive?
      • Hive Query Language
      • Background of Hive
      • Hive Installation and Configuration
      • Hive Architecture
      • Hive Data Types
      • Hive Data Model
      • Hive Examples
      • Create/Show Database
      • Create/Show/Drop Tables
      • Create / Show Database
      • Create / Show / Drop Tables
      • Hive UDF
      • SerDe (Serialization / Deserialization)
      • Partitions and Buckets
      • Joins
      • Limitations of Hive
      • SQL vs. Hive

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