Hadoop programming library is a structure that considers the dispersed preparing of huge informational indexes crosswise over groups of PCs utilize basic programming models. It is intended to scale up from single servers to a huge number of machines, each offering neighborhood calculation and capacity.

Hi-Skill Training Institute is the India’s best training institute for Big Data, Hadoop, IoT in Pune.

Hi-Skill Hadoop Training Institute is furnished with lab offices and superb framework. We additionally give Hadoop accreditation preparing way to our understudy’s in Pune.

At Hi-Skill all around prepared Hadoop Training establishment in Pune wannabes take in the abilities for Hadoop Basic Concepts/Fundamentals, Hadoop Architecture and Building Blocks, HDFS and Map Reduce, Job Monitoring, Scheduling, Sorting, Exercise.

Hadoop Training in Pune has been outlined according to most recent industry patterns and remembering the progressed Hadoop course substance and syllabus in view of the expert prerequisite of the stand in; plateful them to get bargain in international organization and bring about their profession objectives.

Hadoop is a storage part known as (HDFS) Hadoop distributing file system and Map Reduce is a processing part. Basically Hadoop works on the following modules:-

• Hadoop Common
• Hive
• Hadoop Yarn
• Hadoop Map Reduce

Hi-Skill have experience Hadoop experts to provides courses how to analyze the Big Data through Hadoop to ensure that your job is ready to take assignment in Big Data.

Hi-Skill is one of the best establishments to give Hadoop training institute. We will likely give the quality administrations to the searchers in a moderate cost. All the Hadoop classes in Pune are conveyed by the very much qualified proficient mentors, who conveys hands on session with ongoing illustrations and furthermore bestow their experience to the understudies to have a predominant understanding of the subject reliably.


2 Days : Saturday + Sunday (16 Hrs)

Full Day 8 hrs a day

Who should go for this Course

1. Freshers
2. Analytics professionals
3. BI /ETL/DW professionals
4. Project managers
5. Testing professionals
6. Mainframe professionals


  • Basics of Hadoop / Boot up
  • Map Reduce Concepts
  • Hadoop Installation
  • Pig
  • Hive
  • Flume
  • Sqoop (Only Theory)
  • MongoDB (Only Theory)


  • Basics of Ubuntu
  • Basics of Hadoop
  • Why Hadoop?
  • Where to Use Hadoop?
  • Hadoop ECO system
  • Hadoop V/s RDBMS
  • Hadoop Atchitecture 1.0


  • Introduction to Pig
  • Basics of Pig
  • Installation
  • Execution Modes
  • Datatypes
  • Control Structure
  • Loding Data
  • Filtering Data
  • Storing Data
  • Playing with Delimiters
  • Grouping Data
  • Flattern
  • Macros
  • Joins
  • Order by
  • Pig Programs
  • PiggyBank
  • UDF
  • Processing Semi Structured Data
  • Processing Unstructured Data
  • Hive

Introduction to Hive

  • Basics of Hive
  • Installation
  • Datatypes
  • Create Database
  • Processing Unstructured Data
  • Create Table
  • Alter Table
  • Drop Table
  • Partitioning and bucketing
  • Operators
  • Built-in Functions
  • Select
  • Orger by
  • Group by
  • Joins
  • Managed Tables and External Tables
  • Exporting Hive Data to CSV
  • Flume

Introduction to Flume

  • Basics of Flume
  • Flume Agent
  • Source
  • Channel
  • Sink
  • Installation
  • Data Transfer using NetCat
  • Spooling Directory
  • Fetching Twitter Data