Hadoop Training institutes in Pune


Hadoop Training Institutes in Pune: We’re the leading organization for best Hadoop Training in Pune providing World-class Advanced course with our Advanced Learning Management system creating expert manpower pool to facilitate global industry requirements. Today, Prwatech has grown to be one of the leading hadoop training and placement in pune talent development companies in the world offering learning solutions to Institutions, Corporate Clients and Individuals.


Prwatech, Offering the best hadoop training and placement in pune will train you towards global certifications by Hortonworks, Cloudera, etc. Our Best Hadoop Training in Pune will be especially useful for software professionals and engineers with a programming background. PrwaTech offers Hadoop Training in Pune with a choice of multiple training locations across Pune. We have the best in the industry certified Experienced Professionals who can guide you Learning Technology from the Beginner to advanced level with our Hadoop training institutes in Pune. Get Pro certification course under 20+ Years of Experienced Professionals with 100% Placement assurance.


Our Hadoop Training Institutes in Pune is equipped with exceptional infrastructure and labs. For best hadoop training in pune with placement come and enroll in any one of these PrwaTech Training centers.


Pre-requisites for Hadoop Training in Pune


  • Basic knowledge of core Java.
  • Basic knowledge of Linux environment will be useful however it’s not essential.

Who Can Enroll at Hadoop Training Center in Pune?

  • This course is designed for those who:
  • Want to build big data projects using Hadoop and Hadoop Ecosystem components.
  • Want to develop Map Reduce programs.
  • Want to handle the huge amount of data.
  • Have a programming background and wish to take their career to the next level.

Why is Hadoop used for Big Data analytics?

Hadoop is changing the perception of handling Big Data especially unstructured data. Let’s know how the Apache Hadoop software library, which is a framework, plays a vital role in handling Big Data. Apache Hadoop enables surplus data to be streamlined for any distributed processing system across clusters of computers using simple programming models.
It truly is made to scale up from single servers to a large number of machines, each and every offering local computation, and storage space. Instead of depending on hardware to provide high-availability, the library itself is built to detect and handle breakdowns at the application layer, so providing an extremely available service along with a cluster of computers, as both versions might be vulnerable to failures.
HDFS is designed to run on commodity hardware. It stores large files typically in the range of gigabytes to terabytes across different machines. HDFS provides data awareness between task tracker and job tracker. The job tracker schedules map or reduces jobs to task trackers with awareness in the data location. This simplifies the process of data management. The two main parts of Hadoop are the data processing framework and HDFS.
HDFS is a rack aware file system to handle data effectively. HDFS implements a single-writer, multiple-reader model and supports operations to read, write, and delete files, and operations to create and delete directories.

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Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Why Hadoop Training in Pune @Prwatech,

We are India’s Leading Training Institute for Hadoop Offering Pro Level Hadoop Training and 100% placement Assistance to All students who Enrolled with us.

  • 100% Job Assurance
  • Wi-Fi Class Rooms
  • Get trained by the finest qualified professionals
  • 100% practical training
  • Flexible timings
  • Real Time Projects
  • Resume Writing Preparation
  • Mock Tests & interviews
  • Access to Our Learning Management System Platform
  • Access to 1000+ Online Video Tutorials
  • Weekend and Weekdays batches
  • Affordable Fees
  • Complete course support
  • Guidance till you reaches your goal.


Hadoop Technology has emerged as one of the world’s greatest technology which is leading numerous Job opportunities like never seen before. With over 2.6 quintillion bytes of data produced every day, there is a rapidly growing requirement for this technology and to facilitate these requirements we provide excellent training at our Hadoop training institutes in Pune.


Our Hadoop Training in Pune helps in nurturing professionals to manage and analyze massive data-sets to reveal business insights. To perform this, specialized knowledge of various tools such as the Hadoop ecosystem is required. Job opportunities for talented software engineers in the fields of Hadoop are enormous and profitable. Zest to become proficient and well versed in the Hadoop environment is all that is required for a fresher.


Having technical experience and proficiency in fields described below can help you move up the ladder to great heights in the IT industry. A Hadoop developer is one who has a stronghold on programming languages such as Core Java, SQL jQuery, and other scripting languages. Working knowledge of Hadoop related technologies such as Hive, Hbase, and Flume facilitates him in building an exponentially successful career in the IT industry.


Get the best in industry standard learning experience from the certified IT professionals who are carrying massive real-time experience while working with top MNC companies. Explore the technology from scratch to advanced level from the industry-certified working professionals of the best Hadoop Training in Pune. We are the pioneers of Hadoop Training in Pune, assuring that our students can easily capitalize on the most demanding technology in the world without any flaws without advanced courses.


Our Advanced courses on Hadoop packed with world-class Classroom training which can able to deliver high-end classroom training experience, so one can really feel the comfort of learning the technology under the world-class trainers. Once the candidate is done with our Certification Course can get access to our YouTube channel which is loaded with Milestone collections of advanced tutorials about the technology which will help to understand or rewind the technology after the course completion.


Our Certification Course offering flexible timings to all of our valuable students, so one can easily navigate to our Hadoop Training institute in Pune easily without facing any difficulty. Our Trainers are well expertise in terms of understanding the technology how it works in real-time which is making as one of the Best Hadoop Training Institute in Pune over others.


Our trainers are much aware of the current IT trends which module is more demanding and how to learn that as a pro, not like Newbie. So don’t just dream about to become the Hadoop developer to start dreaming to become the certified Pro developer by choosing the Best Trainer.


Are you hungry to step into the advanced learning platform the walk into any of these Prwatech world-class corporate branches? We’re offering both online and offline classes to our students under our certification courses Program, so one can choose either classroom training nor online classes at their convincible timings.


Module 1: Hadoop Architecture

Learning Objective: In this module, you will understand what is Big Data, What are its limitations of the existing solutions for Big Data problem; How Hadoop solves the Big Data problem, What are the common Hadoop ecosystem components, Hadoop Architecture, HDFS, and Map Reduce Framework, and Anatomy of File Write and Read.


  • Hadoop Cluster Architecture
  • Hadoop Cluster Mods
  • Multi-Node Hadoop Cluster
  • A Typical Production Hadoop Cluster
  • Map Reduce Job execution
  • Common Hadoop Shell Commands
  • Data Loading Technique: Hadoop Copy Commands
  • Hadoop Project: Data Loading
  • Hadoop Cluster Architecture

Module 2: Hadoop Cluster Configuration and Data Loading

Learning Objective: In this module, you will learn the Hadoop Cluster Architecture and Setup, Important Configuration in Hadoop Cluster and Data Loading Techniques.


  • Hadoop 2.x Cluster Architecture
  • Federation and High Availability Architecture
  • Typical Production Hadoop Cluster
  • Hadoop Cluster Modes
  • Common Hadoop Shell Commands
  • Hadoop 2.x Configuration Files
  • Single Node Cluster & Multi-Node Cluster set up
  • Basic Hadoop Administration

Module 3: Hadoop Multiple node cluster and Architecture

Learning Objective: This module will help you understand multiple hadoop server roles such as Name node & Data node, and Map Reduce data processing. You will also understand the Hadoop 1.0 cluster setup and configuration, steps in setting up Hadoop clients using Hadoop 1.0, and important Hadoop configuration files and parameters.


  • Hadoop Installation and Initial Configuration
  • Deploying Hadoop in fully-distributed mode
  • Deploying a multi-node Hadoop cluster
  • Installing Hadoop Clients
  • Hadoop server roles and their usage
  • Rack Awareness
  • Anatomy of Write and Read
  • Replication Pipeline
  • Data Processing

Module 4: Backup, Monitoring, Recovery and Maintenance

Learning Objective : In this module, you will understand all the regular Cluster Administration task such as adding and removing data nodes, name node recovery, configuring backup and recovery in hadoop, Diagnosing the node failure in the cluster, Hadoop upgrade etc.


  • Setting up Hadoop Backup
  • White list and Blacklist data nodes in cluster
  • Setup quotas, upgrade hadoop cluster
  • Copy data across clusters using distcp
  • Diagnostics and Recovery
  • Cluster Maintenance
  • Configure rack awareness

Module 5: Flume (Dataset and Analysis)

Learning Objective: Flume is a standard, simple, robust, flexible, and extensible tool for data ingestion from various data producers (web servers) into Hadoop.


  • What is Flume?
  • Why Flume
  • Importing Data using Flume
  • Twitter Data Analysis using hive

Module 6: PIG (Analytics using Pig) & PIG LATIN

Learning Objective: In this module, we will learn about analytics with PIG. About Pig Latin scripting, complex data type, different cases to work with PIG. Execution environments, operation & transformation.


  • Execution Types
  • Grunt Shell
  • Pig Latin
  • Data Processing
  • Schema on read Primitive data types and complex data types and complex data types
  • Tuples Schema
  • BAG Schema and MAP Schema
  • Loading and storing
  • Validations in PIG, Type casting in PIG
  • Filtering, Grouping & Joining, Debugging commands (Illustrate and Explain)
  • Working with function
  • Types of JOINS in pig and Replicated join in detail
  • SPLITS and Multi query execution
  • Error Handling
  • FLATTEN and ORDER BY parameter
  • Nested for each
  • How to LOAD and WRITE JSON data from PIG
  • Piggy Bank
  • Hands on exercise

Module 7: Sqoop (Real world dataset and analysis)

Learning Objective: This module will cover to Import & Export Data from RDBMS (MySql, Oracle) to HDFS & Vice Versa


  • What is Sqoop
  • Why Sqoop
  • Importing and exporting data using sqoop
  • Provisioning Hive Metastore
  • Populating HBase tables
  • SqoopConnectors
  • What are the features of sqoop
  • Multiple cases with HBase using client
  • What are the performance benchmarks in our cluster for sqoop

Module 8: HBase and Zookeeper

Learning Objectives: This module will cover advance HBase concepts. You will also learn what Zookeeper is all about, how I help in monitoring a cluster, why HBase uses zookerper and how to build application with zookeeper.


  • The Zookeeper Service: Data Model
  • Operations
  • Implementations
  • Consistency
  • Sessions
  • States

Module 9: Hadoop 2.0, YARN, MRv2

Learning Objective: in this module, you will understand the newly added features in Hadoop 2.0, namely MRv2, Name node High Availability, HDFS federation, and support for Window etc.


  • Hadoop 2.0 New Feature: Name Node High Availability
  • HDFS Federation
  • MRv2
  • YARN
  • Running MRv1 in YARN
  • Upgrade your existing MRv1 to MRv2

Module 10: Map-Reduce Basics and Implementation

In this module, will work on Map Reduce Framework. How Map Reduce implement on Data which is stored in HDFS. Know about input split, input format & output format. Overall Map Reduce process & different stages to process the data.


  • Map Reduce Concepts
  • Mapper Reducer
  • Driver
  • Record Reader
  • Input Split (Input Format (Input Split and Records, Text Input, Binary Input, Multiple Input
  • Overview of InputFileFormat
  • Hadoop Project: Map Reduce Programming

Module 11: Hive and HiveQL

In this module we will discuss a data ware house package which analysis structure data. About Hive installation and loading data. Storing Data in different table.


  • Hive Services and Hive Shell
  • Hive Server and Hive Web Interface (HWI)
  • Meta Store
  • Hive QL
  • OLTP vs. OLAP
  • Working with Tables
  • Primitive data types and complex data types
  • Working with Partitions
  • User Defined Functions
  • Hive Bucketed Table and Sampling
  • External partitioned tables, Map the data to the partition in the table
  • Writing the output of one query to another table, multiple inserts
  • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
  • Bucketing and Sorted Bucketing with Dynamic
  • RC File, ORC, SerDe : Regex
  • Compression on Hive table and Migrating Hive Table
  • How to enable update in HIVE
  • Log Analysis on Hive
  • Access HBase tables using Hive
  • Hands on Exercise

Module 12: Oozie

Learning Objective: Apache Oozie is the tool in which all sort of programs can be pipelined in a desired order to work in Hadoop’s distributed environment. Oozie also provides a mechanism to run the job at a given schedule.


  • What is Oozie?
  • Architecture
  • Kinds of Oozie Jobs
  • Configuration Oozie Workflow
  • Developing & Running an Oozie Workflow (Map Reduce, Hive, Pig, Sqoop)
  • Kinds of Nodes

Module 13: Spark

Learning Objectives: This module includes Apache Spark Architecture, How to use Spark with Scala and How to deploy Spark projects to the cloud Machine Learning with Spark. Spark is a unique framework for big data analytics which gives one unique integrated API by developers for the purpose of data scientists and analysts to perform separate tasks.


  • Spark Introduction
  • Architecture
  • Functional Programming
  • Collections
  • Spark Streaming
  • Spark SQL
  • Spark MLLib

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Alponsa: To kick start a career in Tableau field I think the Prwatech training institute is giving better opportunities to everyone. They are giving the best platform to learn by which everyone will be in advantage.

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Want to learn the latest trending technology Big Data Hadoop Course? Register yourself for Big Data Hadoop training classes from the certified big data Hadoop experts.


This module covered in Big Data Hadoop training in Pune discusses the significance of Big Data in our social lives and the important role that it plays. It also discusses the Hadoop Architecture and Ecosystem and different Hadoop elements like MapReduce and HDFS management for storing and processing Big Data.

The Topics covered are Role Played by Big Data, The Elements of Hadoop, Hadoop Architecture, Map Reduce, HDFS, Job Tracker, Name Node, Data Node, rack Awareness, and Task Tracker.

This module helps the learners in getting a clear understanding of the procedure of setting up the Hadoop cluster on a total of five varied modes. It also discusses the process of configuring important files and data processing and loading.

Topics: Multiple Node Cluster, Configuring Files, Deleting and Adding Data Node, Secondary Name Node, Balancing and Processing Map Reduce.

This module helps in understanding the structure of Map-reduce and the procedure in which Map Reduce implements Data stored in HDFS. Readers also get to know about output and input format and input split. It also discusses the process of Map Reduce and the different stages in processing data.

Topics: Reducer, Mapper, Driver, Participation, Shuffling, Combiner, Job Scheduler, Input and Output Format, Record Reader and Decompression and Compression.

This module gets the learners enrolled in Big Data Hadoop training in Pune working with the advanced Map Reduce procedure of complex data. The learners also get to work with various new components like Distributed Cache, Counters for additional data during the processing. The module also discusses Serialization and Custom writable.

Topics: Distributed Cache, Counters, Speculative Execution, Data Localization, Mrunit Testing, and Unit Testing.

This is a module where the learners get to know about the analytics involving PIG. The module also helps the learners in understanding the PIG Latin Scripting, different cases of working with PIG and the execution operation, transformation, and environment.

Topics: Everything About PIG, PIG Latin Scripting, File Format, Load, Join, Filter, Foreach, PIG UDF, Hadoop Scripting, PIG Assignment.

This module covered in Big Data Hadoop training in Pune discusses analysis structure data and even about the installation of Hive and the process of loading data.

Topics: The topics covered are Hive, Manage Table, Hive Installation, Types of Complex Data, External Table, Joins, Bucketing and Partition, Hive Assignment and Execution Engine.

This module offers a clear understanding of the ideas pertaining to Advance Hive like UDF along with HBase and loading data in HBase.

Topics: Data Manipulation in Hive, Appending Data in Existing Hive Table, Hive Scripting, HBase Architecture, Available Client and the Features of Client API.

The module covers the ideas of Advance HBase along with ZooKeeper and the help that it offers in cluster monitoring.

Topics: Advanced Usage of HBase, Advance Indexing, HBase Tables, Consistency of ZooKeeper Service and ZooKeeper Sessions.Cluster

Rs. 16,000

35 Hours
Practical 40 Hours
15 Seats
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Course Certificate

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