Hadoop Training in Bangalore


Best Hadoop Training in Bangalore, Prwatech the Best training institute for Hadoop in Bangalore Offering Advanced Hadoop Course in Bangalore to the tech Enthusisats. Our Hadoop course was designed Experienced Certified Trainers who got pinnacle experience with a very deep understanding of how this Technology Works in Real-time. Our Trainers are capable to deliver the Best Real-time Experience to the students who are participating in our Hadoop training in bangalore Program. Get the best opportunity for advanced hadoop course in Bangalore from Industry certified professionals who are carrying in-depth knowledge about the technology. Our world-class best Training Institute for Hadoop in Bangalore Program also offers the 100% Placement Assistance.


Best Hadoop course in Bangalore


With Our best Hadoop course in Bangalore, you will get complete knowledge about Technology and For a better job, you need to take Hadoop course in Bangalore. We are offering 100% Placement Assistance & 100% Job Support for those candidates who chosen Our Hadoop Training in Bangalore Program. Get enroll today and take advantage of the world-class advanced classroom training . Get Real benefits of the Technology by choosing the Best hadoop Training in Bangalore who can Provide Pro hadoop certification courses  with 100% Placement Assistance.


Hadoop Certification Course


Pro Hadoop certification Course in Bangalore, Our certification Courses Offering to those Tech enthusiasts who are seriously looking for a job, IT Employees & Working professionals who are passionate about this technology. There are Huge Opportunities for Hadoop that is the reason why the demand for Hadoop course in Bangalore is increasing these days. One can have best classroom Training through the best Hadoop Training Institute In Bangalore. Our Hadoop training institute Experts provide training for hadoop to learn Hadoop architecture and  hadoop Eco system from the scratch level.

Contact Us +91 8147111254


Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Why Prwatech for Hadoop Training in Bangalore?


We provide an extensive Hadoop Training in Bangalore and Hadoop certification courses in Bangalore taking the course with us have its Own Benefits. Our Qualified Industry Certified Experts have More Than 20+ Years of Experience in the Current Hadoop Domain and They Know well about the industry Needs. This makes Prwatech as India’s leading Training Institute for Hadoop in Bangalore. We have a very deep understanding of the industry needs and what skills are in the demand, so we tailored our  Hadoop classes in Bangalore as per the current It Standards. We have Separate batches for Weekends, Week batches and we Support 24*7 regarding any Queries. Best Hadoop Training in Bangalore offering the best in the industry Certification courses which incorporate course which is fulfilling the Current IT Markets Needs Successfully.


Benefits of hadoop Training in Bangalore@Prwatech

  • 100% Job Placement Assistance
  • 24*7 Supports
  • Support after completion of Course
  • Mock tests
  • Free Webinar Access
  • Online Training
  • Interview Preparation
  • Real Times Projects
  • Course Completion Certificate
  • Weekly Updates on Latest news about the technology via mailing System
  • During various sessions, one can learn the use of different tools of this framework.


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

What are you waiting for Step into the Nearest Hub of Our corporate Offices are Today and Get the Free Demo Section with us? Doesn’t Just Dream about the  Hadoop Developer Achieve Your Dreams with our best Hadoop Training institute in Bangalore.


Frequently Asked Questions on Hadoop course in bangalore?

  • Do you provide Placement Assistance after the hadoop course in Bangalore?

Answer: Yes we do have 100% placement Assistance once the candidate is done with advanced hadoop certification with us.

  • What if I miss any classes during the course?

Answer: We have Backup classes even if classes Missed, one can cover the hadoop classroom training in Bangalore Classes with our Online Classes Facility.

  • Do you Also Provide Hadoop Certification

Answer:  yes, we do Provide Hadoop Certification once the candidate is done with all modules with us.

  • What are the payment options available for Hadoop Training ?

Answer:   We have multiple payment options available with us; one can pay via GooglePay, PayPal, Cash, Phonepe, and UPI & NEFT.


Hadoop Course in Bangalore Reviews


  • Manasa: Prwatech helped me shift my career from Mechanical Engineer into  Hadoop Developer. The curriculum is well-curated keeping in mind the industry requirements. Overall, this hadoop course In Bangalore is really nice and everyone is co-operative. I had joined This hadoop training in Bangalore which I found very informative and prepare for a job or as a skill enhancement for working professionals.


  • Siva : It was a great learning experience for someone who wants to Take hadoop certification.Thank you so much Prwatech I learned real experience Like this Prwatech Training institute overall.


  • Janardhan: Trainer of this hadoop classroom training in Bangalore is Very energetic, easy techniques used for learning & way of explain very well. One of the best Training Institute for Hadoop in Bangalore.


Learning Objectives – This module will help you understand Multiple Hadoop Server roles such as NameNode and DataNode, and MapReduce 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

Learning Objectives – In this module, you will understand all the regular Cluster Administration tasks such as adding and Removing Data Nodes, Name Node recovery, configuring Backup and Recovery in Hadoop, Diagnosing the Node Failures in the Cluster, Hadoop Upgrade, etc.

Topics: Setting up Hadoop Backup, white list and blacklist data nodes in a cluster, setup quota’s, upgrade Hadoop cluster, copy data across clusters using distcp, Diagnostics, and Recovery,
Cluster Maintenance, Configure Rack awareness

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

Topics: About Pig, PIG Installation, Pig Latin scripting, complex Data Type, File Format, where to use PIG when there is MR, operation & transformation, compilation, Load, Filter, Join, foreach, Hadoop scripting, Pig UDF, PIG project.

In this Module, we will discuss a data-warehouse package which analysis structure data. About Hive installation and loading data. Storing Data in different Table.

Topics: About Hive, Hive Installation, Manage table, External table, Complex data Type, execution engine, Partition & Bucketing, Hive UDF, Hive query (sorting, aggregating, Joins, Subquery), Map reduce side joins, Hive project

In this module, you will understand Advance Hive concepts such as UDF. You will also acquire in-depth knowledge of what is HBase, how you can load data into HBase and query data from HBase using client.

Topics : Hive: Data manipulation with Hive, User Defined Functions, Appending Data into existing Hive Table, Custom Map/Reduce in Hive, Hadoop Project: Hive Scripting, HBase: Introduction to HBase, Client API’s and their features, Available Client, HBase Architecture, MapReduce Integration.

HQL and Hive with Analytics

LearningObjectives- 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
Sqoop Connectors
What are the features of Sqoop?
What are the performance benchmarks in our cluster for Sqoop
Multiple Case with Hands on from HBaseusingclient

What is Flume?
Why Flume?
Importing Data using Flume
Twitter Data Analysis using Hive.

In this module, you will understand the newly added features in Hadoop 2.0, namely, YARN, MRv2, NameNode High Availability, HDFS Federation, support for Windows, etc.

Topics : Schedulers: Fair and Capacity, Hadoop 2.0 New Features: NameNode High Availability, HDFS Federation, MRv2, YARN, Running MRv1 in YARN, Upgrade your existing MRv1 code to MRv2, Programming in YARN framework.

What is Oozie
• Architecture
• Kinds of Oozie Jobs
• Developing & Running an Oozie Workflow(MapReduce, Hive, Pig, Sqoop) –
• Configuring Oozie Workflows
• Kinds of Nodes
Advanced Topic :

In this module, you will understand how multiple Hadoop ecosystem components work together in a Hadoop implementation to solve Big Data problems. We will discuss multiple data sets and specifications of the project. This module will also cover Apache Oozie Workflow Scheduler for Hadoop Jobs.

Prwatech is the pioneer of Hadoop training in India. As you know today the demand for Hadoop professionals far exceeds the supply. So it pays to be with the market leader like Prwatech when it comes to learning Hadoop in order to command top salaries. As part of the training, you will learn about the various components of Hadoop like MapReduce, HDFS, HBase, Hive, Pig, Sqoop, Flume, Oozie among others. You will get an in-depth understanding of the entire Hadoop framework for processing huge volumes of data in real-world scenarios.

The Prwatech training is the most comprehensive course, designed by industry experts keeping in mind the job scenario and corporate requirements. We also provide lifetime access to videos, course materials, 24/7 Support, and free course material upgrade. Hence it is a one-time investment.

Prwatech basically offers self-paced training and online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 5 years of industry experience in relevant technologies and also they are subject matter experts working as consultants. You can check about the quality of our trainers in the sample videos provided.

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Prwatech even after completion of training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.

Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.

We provide you Hadoop certification courses in Bangalore with the opportunity to work on real-world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various Hadoop components making you perfectly industry-ready. These projects could be an exciting and challenging field like banking, insurance, retail, social networking, high technology and so on. The Prwatech projects are equivalent to six months of relevant experience in the corporate world.

Yes, Prwatech does provide you with placement assistance. We have tie-ups with 80+ organizations including Ericsson, Cisco, Cognizant, TCS, among others that are looking for Hadoop professionals and we would be happy to assist you with the process of preparing yourself for the interview and the job.

Bigdata and Hadoop Services

  • PowerPoint Presentation covering all classes
  • Recorded Videos Sessions On Bigdata and Hadoop with LMS Access. (lifetime support)
  • Quiz, Assignment & POC.
  • On Demand Online Support.
  • Discussion Forum.
  • Material
    • a. Sample Question papers of Cloudera Certification.
    • b. Technical Notes & Study Material.

Varun Shivashanmugum

Associate Consultant, ITC Infotech Ltd

“Faculty is good, Verma takes keen interest and personal care in improvising skills in students. And most importantly, Verma will be available and clears doubts at any time apart from class hours. And he always keeps boosting and trying to increase confidence in his students which adds an extra attribute to him and organization as well. and organization as well.

Mayank Srivastava
Hadoop Developer, L&T, Bangalore

“Really good course content and labs, patient enthusiastic instructor. Good instructor, with in-depth skills…Very relevant practicals allowed me to put theory into practice.”

INR  16000

35 Hours
Practical 40 Hours
15 Seats
Course Badge
Course Certificate

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