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Hadoop & Bigdata

BESTWAY Technologies offering  best HADOOP & BigData Training in Bangalore and Hyderabad with Real time most experienced working Professionals.  Our HADOOP trainer is working in HADOOP and total 13+ years experience .  we cover under this HADOOP course Syllabus major topics Introduction to Hadoop and Bigdata, Hadoop Functionalities and commands,  MapReduce Introduction,  Introduction to Pig, Hive & Pythonmapreduce concepts, Developing the MapReduce Application in Java, Pig & Hive,  Oozie, Sqoop and FLume Introduction & Work flow with Example, MapReduce advanced Features, Hive, Impala,  Hbase, Add-on’s and unique coaching along with hadoop. We are plain to HADOOP  Course Content basic concepts to advanced level in-depth content. We are offers weekdays Batch (Monday to Friday)for day 1 to 1:30 hour, weekend batch (Saturday and Sunday ) for day 3hour class & Fast track which is based on your timings & availability of trainer.

BESTWAY TECHNOLOGIES offering online training with flexible & cost effective.  Attend HADOOP  classes in online no need to come to my place attend HADOOP classes at your place anywhere world any time zone. Our participants students will be eligible to clear all type of any interviews at end of our HADOOP sessions.  My HADOOP trainer will give future help and assistance in subject for participants. We provide you with 24/7 server access for practicing. Please call : 91-9000567126 ( WhatsApp) , Mail :

Hadoop Training Course Content

0.Introduction to Hadoop and Bigdata

  • What is Big Data?
  • What is Hadoop?
  • Why Hadoop?
  • History of Hadoop
  • Use cases of Hadoop
  • Hadoop ecosystem
  • HDFS
  • MapReduce
  • Companies follow Hadoop

1.Hadoop Functionalities and commands

  • Hadoopfs commands
  • Daemons
  • Writing anatomy
  • Reading anatomy
  • Rack awareness 

2. MapReduce Introduction

  • MapReduce workflow
  • Combiner, partitioner
  • Introduction to MapReduce programming
  • UsecaseExplination

3. Introduction to Pig, Hive & Pythonmapreduce concepts

  • Pig MapReducewith different examples
  • Hive MapReduce with different examples
  • Combiner, partitioner in Pig 

4. Developing the MapReduce Application in Java, Pig & Hive

  • Data Types
  • File Formats
  • Explain the Driver, Mapper and Reducer code
  • Configuring development environment – Eclipse
  • Running locally with usecase
  • Running on cluster with usecase
  • Hands on exercises

5. Oozie, Sqoop and FLume Introduction & Work flow with Example

  • Sqoop workflow with usecase
  • Flume workflow with usecase
  • Oozie workflows with usecase

6. MapReduce advanced Features

  • Secondary Sorting with examples
  • Joins – Map side and reduce side
  • Side data distribution

7. Hive, Impala 

  • Fundamentals
  • When to use Hive, Impala and Pig
  • Usecases

8. Hbase

  • Introduction to Hbase
  • Architecture and advanced concepts
  • Hbase + HadoopMapreduce
  • Usecases on Hadoop for Practise

9. Add-on’s and unique coaching along with hadoop:

  • Linux preparation
  • R analytics
  • Mongodb basics
  • Issuing 4 + Usecasesin hadoop
  • Interview Questions and Certification Preparation



Training Highlights

  • Online training by experienced Trainer (5 Years of Experience In Network Programming and 2 years in Hadoop Domain)
  • Exercise in Cloudera VM / HortonWorks Sandbox
  • 24/7 Availability in group mail and what’s app for better communication
  • Certification Oriented Material
  • Audio/Visual Presentations
  • Tips and Techniques for PreparingCertification
  • Support candidate in resumepreparation, interview preparation





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