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Hadoop Reviews

Real Time Experts

4.9 out of 5 based on 448 Reviews

 I am fresher i did hadoop and in TIB Academy Bangalore. Training was ultimate. Got offer in Istudio Bangalore.


1 days ago

 I have attended hadoop training. The faculty was very good and he eplained all the concepts of hadoop with real time senario. I also got support in develping my own Project. Overall experence in Real Time Experts is very good.


1 days ago


Thanks to RTE for providing excellent training on Hadoop course . I would to like to say thanks to support Management team for there advise and help when ever I faced any issues.Even though they changed trainer once for our batch,they gave the Best Hadoop Trainer.Thanks for Comittment.



1 days ago


Just Completed my Hadoop Training. Experience was good. They have good Hadoop instructors. During class you can have your doubts cleared but apart from that you are not allowed to contact the instructor directly.My Instructor was supported through Hadoop Project Case studies.



1 days ago

 Enrolled my self to join in hadoop Training in this institute. It is 1 month training. They provided some software materials to learn the course. Their teaching is so professional. I am fulfilled with their coaching.


1 days ago

 I have completed Hadoop Training from Real Time Experts . he use to take class in a practical manner with Java projects .My Hadoop Bigdata class was awesome .I have learned very well from him and also got placed in IBM


3 days ago


Basically I am from Testing Background, I was not knowing anything related to database. After i joined here, i learnt lot in both Hadoop Bigdata.Thanks  to Realtime experts Marathalli.


1 days ago

 I joined Real Time Experts for hadoop. I got a better understanding of all the concepts of hadoop. Classes had a better interaction which helps me to get used to real time scenarios. Can gain better knowledge!!


1 days ago

 The classes were very informative and fully practical and the faculty was much friendly. I could learn the topics in Hadoop very clearly and it is Very useful to my career. Thanks to Real Time Experts for the useful guidance and the learning experience.


4 days ago


Just completed my hadoop classes. successfully Completed the Big data and Hadoop course at Realtime Experts. Hadoop Course content is excellent. My trainer was architect in hadoop,attended weekend batch.I paid 14000 Fees



1 days ago

 Hi,I am Kasthuri, I have done Hadoop Bigdata in Real Time Experts Bangalore . It was very useful for me to learn and practice.Our Trainer gave me complete Hadoop training during the weekend batch classes . It is very helpful in my Hadoop career .Thanks to Real Time Experts Bangalore.


1 days ago


We had basic hadoop knowledge before starting this training as we were working in hadoop from past 2 years.Its really a wonderful experience learning from him. Hoping for few more certification in Real Time Experts after this wonderful journey.


1 days ago


My Hadoop Trainer has a very good skill to explain technology with his best knowledge of it. He always looks forward to resolve queries which ever students ask. Provided good amount of data along with use cases which will very helpful to practice offline. I was thinking for me BIG Data HADOOP will be quite difficult to learn but being student of Real time Experts, I learned it easily with good amount of knowledge and practice of use cases. They took 7 months to place me,Finally joined in IBM.


Ravi Shankar

1 days ago

Hadoop Training In Bangalore

Best Hadoop Course in Bangalore & Top Hadoop Training Institute

Hadoop Training

Best Hadoop Course in Bangalore & Top Hadoop Training Institute

Real time Experts offers best Hadoop Training in Bangalore with most experienced professionals. Our Instructors are working in Hadoop and related technologies for more years in MNC’s. We aware of industry needs and we are offering Hadoop Training in Bangalore in more practical way. Our team of Hadoop trainers offers Hadoop in Classroom training, Hadoop Online Training and Hadoop Corporate Training services. We framed our syllabus to match with the real world requirements for both beginner level to advanced level. Our training will be handled in either weekday or weekends programme depends on participants requirement. We do offer Fast-Track Hadoop Training in Bangalore and One-to-One Hadoop Training in Bangalore. Here are the major topics we cover under this Hadoop course Syllabus Introduction to Hadoop, Hadoop Eco Systems, Hadoop Developer, Installing Hadoop Eco System and Integrate With Hadoop,Monitoring The Hadoop Cluster.Every topic will be covered in mostly practical way with examples.

Real time Experts located in various places in Bangalore. We are the best Training Institute offers certification oriented Hadoop Training in Bangalore. Our participants will be eligible to clear all type of interviews at end of our sessions. We are building a team of Hadoop trainers and participants for their future help and assistance in subject. Our training will be focused on assisting in placements as well. We have separate HR team professionals who will take care of all your interview needs. Our Hadoop Training Course Fees is very moderate compared to others. We are the only Hadoop training institute who can share video reviews of all our students. We mentioned the course timings and start date as well in below.

Hadoop Training Syllabus in Bangalore

Course Content for Hadoop Developer

This Course Covers 100% Developer and 40% Administration Syllabus.

Introduction to BigData, Hadoop:-

 Big Data Introduction

 Hadoop Introduction

 What is Hadoop? Why Hadoop?

 Hadoop History?

 Different types of Components in Hadoop?

 HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…

 What is the scope of Hadoop?

Deep Drive in HDFS (for Storing the Data):-

 Introduction of HDFS

 HDFS Design

 HDFS role in Hadoop

 Features of HDFS

 Daemons of Hadoop and its functionality

o Name Node

o Secondary Name Node

o Job Tracker

o Data Node

o Task Tracker

 Anatomy of File Wright

 Anatomy of File Read

 Network Topology

o Nodes

o Racks

o Data Center

 Parallel Copying using DistCp

 Basic Configuration for HDFS

 Data Organization

o Blocks and

o Replication

 Rack Awareness

 Heartbeat Signal

 How to Store the Data into HDFS

 How to Read the Data from HDFS

 Accessing HDFS (Introduction of Basic UNIX commands)

 CLI commands

MapReduce using Java (Processing the Data):-

 The introduction of MapReduce.

 MapReduce Architecture

 Data flow in MapReduce

o Splits

o Mapper

o Portioning

o Sort and shuffle

o Combiner

o Reducer

 Understand Difference Between Block and InputSplit

 Role of RecordReader

 Basic Configuration of MapReduce

 MapReduce life cycle

o Driver Code

o Mapper

o and Reducer

 How MapReduce Works

 Writing and Executing the Basic MapReduce Program using Java

 Submission & Initialization of MapReduce Job.

 File Input/Output Formats in MapReduce Jobs

o Text Input Format

o Key Value Input Format

o Sequence File Input Format

o NLine Input Format

 Joins

o Map-side Joins

o Reducer-side Joins

 Word Count Example

 Partition MapReduce Program

 Side Data Distribution

o Distributed Cache (with Program)

 Counters (with Program)

o Types of Counters

o Task Counters

o Job Counters

o User Defined Counters

o Propagation of Counters

 Job Scheduling


 Introduction to Apache PIG

 Introduction to PIG Data Flow Engine

 MapReduce vs. PIG in detail

 When should PIG use?

 Data Types in PIG

 Basic PIG programming

 Modes of Execution in PIG

o Local Mode and

o MapReduce Mode

 Execution Mechanisms

o Grunt Shell

o Script

o Embedded

 Operators/Transformations in PIG

 PIG UDF’s with Program

 Word Count Example in PIG

 The difference between the MapReduce and PIG


 Introduction to SQOOP

 Use of SQOOP

 Connect to mySql database

 SQOOP commands

o Import

o Export

o Eval

o Codegen etc…

 Joins in SQOOP

 Export to MySQL

 Export to HBase


 Introduction to HIVE

 HIVE Meta Store

 HIVE Architecture

 Tables in HIVE

o Managed Tables

o External Tables

 Hive Data Types

o Primitive Types

o Complex Types

 Partition

 Joins in HIVE

 HIVE UDF’s and UADF’s with Programs

 Word Count Example


 Introduction to HBASE

 Basic Configurations of HBASE

 Fundamentals of HBase

 What is NoSQL?

 HBase Data Model

o Table and Row

o Column Family and Column Qualifier

o Cell and its Versioning

 Categories of NoSQL Data Bases

o Key-Value Database

o Document Database

o Column Family Database

 HBASE Architecture

o HMaster

o Region Servers

o Regions

o MemStore

o Store


 How HBASE is differed from RDBMS

 HDFS vs. HBase

 Client-side buffering or bulk uploads

 HBase Designing Tables

 HBase Operations

o Get

o Scan

o Put

o Delete



 What is MongoDB?

 Where to Use?

 Configuration On Windows

 Inserting the data into MongoDB?

 Reading the MongoDB data.

Cluster Setup:–

 Downloading and installing the Ubuntu12.x

 Installing Java

 Installing Hadoop

 Creating Cluster

 Increasing Decreasing the Cluster size

 Monitoring the Cluster Health

 Starting and Stopping the Nodes


 Introduction Zookeeper

 Data Modal

 Operations


 Introduction to OOZIE

 Use of OOZIE

 Where to use?


 Introduction to Flume

 Uses of Flume

 Flume Architecture

o Flume Master

o Flume Collectors

o Flume Agents

Project Explanation with Architecture



Hadoop trainer Profile & Placement

Our Hadoop Trainers

  • More than 10 Years of experience in Hadoop Technologies
  • Has worked on multiple realtime Hadoop projects
  • Working in a top MNC company in Bangalore
  • Trained 2000+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Certified Professionals

Hadoop Placement Training in Bangalore

  • More than 2000+ students Trained
  • 92% percent Placement Record
  • 1000+ Interviews Organized

Hadoop training batch size in Bangalore

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 8 (maximum)

Hadoop Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 8 (maximum)

Hadoop Fast Track batch

  • Seats Available : 5 (maximum)

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