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01_Hadoop_fullHadoop training institute  kolkata in Indian institute of technocrats provides training in Apache Hadoop which is an open-source programming system for capacity and huge scale preparing of information sets on bunches of thing equipment. Hadoop is an Apache top-level undertaking being assembled and utilized by a worldwide group of supporters and clients. The Apache Hadoop programming library is a structure that permits appropriated preparing of huge information sets crosswise over groups of PCs utilizing basic programming models. Hadoop gives the capacity to affordably handle a lot of information, paying little mind to its structure by extensive, we mean from 10-100 gigabytes or more.


Hadoop Training in kolkata

IIT KOLKATA has conducted a research and found that there is a requirement of more than 2 lakhs data scientist in india. This will bring huge opportunities among students and professionals in the year 2016 and 201.. Hadoop is an open source software that helps in processing large data distributed among different servers. The hadoop software can be scaled from single server to several machines

Hadoop and its Ecosystems

Thus, it is necessary that professionals associated with the IT industry must be aware of this technology. Hence, Hadoop Training  kolkata by indian institute of technocrats is there to cater to the needs.indian institute of technocrats is the best Hadoop training institute in kolkata who provides training on practical based and little theory knowledge. 

We are one of the leading providers of Apache Hadoop training kolkata, and our training course is designed in such a way that each student / professionals gets familiar with the technology.

Apart from personal classroom training, we even offer online Hadoop training in kolkata and different location in india. This is to make sure that even professionals who dont have enough time can join our class from their home, as per their convenience.

We at Hadoop Training  kolkata have training courses designed for all groups of people right from the beginners to the advanced level professionals. If you enroll for our training course, we will provide you the series of tutorials that will be relevant for your real-world applications.

To compress the Hadoop Bestiary

  • Ambari Deployment, setup and observing
  • Flume Collection and import of log and occasion information
  • HBase Column-situated database scaling to billions of lines
  • HCatalog Schema and information sort sharing over Pig, Hive and MapReduce
  • HDFS Distributed repetitive document framework for Hadoop
  • Hive Data distribution center with SQL-like access
  • Mahout Library of machine learning and information mining calculations
  • MapReduce Parallel calculation on server groups
  • Pig High-level programming dialect for Hadoop calculations
  • Oozie Orchestration and work process administration
  • Sqoop Imports information from social databases
  • Whirr Cloud-freethinker sending of bunches
  • Zookeeper Configuration administration and coordination


All understudies must be OK with the Java programming dialect (since every single programming exercis are in Java), acquainted with Linux summons.

Big Data (Hadoop) Developer Course outline

Introduction to Big data and Hadoop
o Understanding Big Data
o Challenges in processing Big Data
o 3V Characteristics (Volume, Variety and Velocity)
o Brief history of Hadoop
o How Hadoop addresses Big Data?
o HDFS and MR
o Hadoop echo system
HDFS (Hadoop Distributed File System)
o HDFS Overview and Architecture
o HDFS Keywords like Name Node, Data Node, Heart Beat etc
o Configuring HDFS
o Data Flows (Read and Write)
o HDFS Permissions and Security
o HDFS commands
o Rack Awareness
o 5 Daemons processes
Map Reduce
o Map Reduce Basics
o Map Reduce Data Flow
o Word count Example solving
o Algorithms for simple and complex problems
o Hadoop Streaming
Developing a Map Reduce Application
o Setting up working environment
o Custom Data types (Writable and Custom Key types)
o Input and Output file formats
o Driver, Mapper and Reducer Code Wal thru
o Configuring IDE Eclipse
o Writing Unit test and running locally
o Map Reduce Web UI
o Hands -on
How Map Reduce works?
o Classic Map Reduce (Map Reduce I)
o YARN (Map Reduce II)
o Job Scheduling
o Shuffle and Sort
o Failures
o Oozie Workflows
o Hands-on Excercises
How Map Reduce works?
o Map Reduce Types
o Input formats – Input splits & records, text input, binary input, multiple inputs and database input.
o Output formats – text output, binary output, multiple outputs, Lazy output and database output.
o Hands-on
Hadoop Echo Systems
Overview of PIG
Installation and running PIG
PIG Latin
Loading and storing data
Overview of HIVE
Installation and running HIVE
Overview of HBASE
CLinets (avro, REST, Thrift)
Overview of SQOOP
Solving Case studies


HADOOP Training Locations in Kolkata SALT LAKE

Our HADOOP certification Training centers in Kolkata:

  • Ballygunge
  • Bamangachi
  • Bangur Avenue
  • Barasat
  • Barrackpore
  • Belgharia
  • Chandannagar
  • Chittaranjan Avenue
  • Dumdum
  • Gangapur
  • Garia
  • Gariahat Road
  • Gopalpur
  • Habra
  • Hoogly
  • Howrah
  • Ichapur
  • Jadavpur
  • Kalani
  • Kanchrapara
  • Khardaha
  • Lake Town
  • Madhyamgram
  • Naktala
  • Park Street
  • Rajpur
  • Salt Lake City
  • Santoshpur
  • Sector-1
  • Sonapur
  • Ultadanga


HADOOP Training Locations in Delhi NOIDA

Our HADOOP certification Training centers in Delhi

  • Ashok Vihar
  • Badarpur
  • Baghpat
  • Bahadurgarh
  • Bakhtawarpur
  • Bawana
  • Connaught Place
  • Dwarka
  • East of Kailash
  • Faridabad
  • G T B Nagar
  • Garhi
  • Ghaziabad
  • Halapur
  • Indirapuram
  • Janakpuri
  • Kalkaji
  • Lajpat Nagar
  • Laxmi Nagar
  • Munirka
  • Narela
  • New Delhi
  • New Delhi
  • Paschim Vihar
  • Pawala
  • Pitampura
  • Preet Vihar
  • Puth Khurd
  • Rohini
  • Shahdara
  • Shidipur
  • Sonepat
  • Sonipat
  • South Extension Part I
  • South Extension Part II
  • Vasant Kunj
  • Vikas Puri