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Regardless of your stream, the demand for Hadoop specialists will be ever growing with the growth in the technology. Besides, the influence of internet across the globe, which involved huge data flowing through every moment further emphasize a need for a framework like Hadoop Big Data to handle it in an efficient way. In this array, large and growing companies has started adopting technology to store and efficiently analyze petabytes of data including clickstream data, social media content, weblogs and many others to gain a better insight about their business and customers. This, in turn, creates a huge demand for Hadoop professionals to be engaged to handle Big Data.

Hadoop consultant Training

Hadoop Consultant Training covers
Hadoop Developer,
Hadoop Administration, Hadoop Analyst and Hadoop Testing - Topics.
All these four courses combine as One Course which will bring you
job in Hadoop within 100 Days.
After completed this Hadoop Consultant Training course you
can attend following certifications
Cloudera Certified Associate Spark & Hadoop Developer Certification (CCA175)
Cloudera Certified Administrator for Apache Hadoop (CCAH)
Hortonworks Data Platform Certified Administrator (HDPCA)
Hortonworks Data Platform Certified Developer (Non-Java) HDPCD
Hortonworks Data Platform Certified Developer (Java) HDPCD
Sailent Features
  • Real Time Use Cases and Datasets
  • Study materials (soft copy)
  • Detailed Videos
  • Installation Steps
  • Program codes
  • Certification Preparation help
  • Interview Questions and Answers
  • Resume Preparation Help
  • Real time project help
  • Individual Support
  • Unlimited Free classes
  • After course complete support
Topics Covered
  • HDFS, MapReduce
  • Hadoop 1, Yarn,
  • High Availability, Federation
  • Hive, Pig, Impala, HCatalog
  • Sqoop, Flume, Hue & NO SQL
  • HBase, Hadoop Distributions
  • Spark & Python for CCA Certification
  • Oozie, Zookeeper
  • Hadoop Cluster Planning
  • Hadoop Cluster on AWS and Azure
  • Hadoop Admin and Monitoring
  • RHadoop & MR Unit Testing
What will Your Learn from Think IT Hadoop Course?

Think IT has carefully designed the Hadoop curriculum that suits the varying expectations of our candidates from different domains. Right from fresher to the senior IT professionals, our curriculum can effectively meet your training expectations and turn you into skilled professionals.

Here is a quick brief of what you will learn from our Hadoop course in Chennai:

  • Hadoop fundamentals
  • Understanding Big Data / Dimensions of Big Data
  • Limitations of Existing solutions for Big Data problems
  • Type of Data Generation
  • Hadoop distributors
  • Solving Big Data problems
  • Components of Hadoop ecosystem
  • Modes of Hadoop employment
  • Hadoop Architecture
  • Anatomy of File – Write / Read
  • Core concepts of HDFS / HDFS Flow architecture
  • Data compression techniques types
  • Working of MapReduce framework
  • Rack topology and more


Our Training Video Reviews
Think IT Training Reviews given by our students already completed the training with us. Please give your feedback as well if you are a student.

This curriculum will certainly help you gain a good knowledge of Hadoop. In addition to it, our practical training will further encourage you to gain improved skills to handle any challenging tasks assigned to you in a real-time application.

Think IT is proud of establishing ourselves as one of the remarkable Hadoop training institutions in Chennai to provide the most competitive coaching to our candidates. With our track record of producing over a thousand successful candidates enter into the IT industry; we are now one of the recognized institutions in the digital world of providing various advanced training courses.

Our dedicated team of faculties and industry professionals work round the clock to keep the curriculum up-to-date correlate with the present industry scenario and employers’ expectations. Our this effort makes us a qualified training institution to provide best courses that will not only improve the theoretical knowledge of our candidates in their chosen course or training program but also their technical know-how and practical skills to handle any situations they come across after they are employed in good job roles.

To know more about our Hadoop training program and other various supporting courses available to make you a perfect professional with a valid certification, contact our support team.

We are ready to provide you the required information and answer your inquiries anytime you approach us.


Hadoop Training Duration in chennai

Regular Batch - Daytime, Morning and Evening
  • Time Duration : 45 hours
Weekend Batches - Saturday and Sunday & Holidays
  • Time Duration : 9 weeks
Fast Track course Training - (daily 5+ hours)
  • Time Duration : 2 weeks
Hadoop Resources
Download and Install Hadoop
How to crack the Hadoop Interview
Hadoop Interview Questions
Career Opportunities in Hadoop
Hadoop - Bigdata Introduction
  • Overview of Hadoop ecosystem
  • What is Hadoop integration?
  • Usage of Hadoop database
  • Software products workflow
  • Usage of Hadoop in data and their performance
Map Reduce Overview
  • Description of big data mapreduce
  • Theory concept
  • Writable method overflow
  • What is Input format?
  • How the Output is formatting in mapreduce
  • Shuffle phase magic overview
  • File sequence operation
HDFS Introduction
  • Data flow archives
  • Coherency method overflow
  • Detailed description in Fault tolerance
  • What is Data integrity?
  • Second namenode
  • Shell commands operation
  • API using java applications
  • CAP theorem method
  • Custom input format optimization
  • Sorting operation
  • Debugging method
  • What is Toolrunner
  • Cache distribution
  • Counter
  • Installation of PIG
  • PIG Architecture
  • Joins operation
  • Macros function
  • UDF performance
  • Architecture of HIVE
  • Configuration process
  • File formats in system
  • Other SQL on Hadoop
  • Usage of Tables
  • UDF formats
  • Connectors to existing DB’s and DW
  • Installation operation in SQOOP
  • How to execute Commands
  • Architecture of SQOOP
  • HDFS federation
  • YARN introduction
  • Limitations in MR1
  • Job flow of Map reduce in YARN
  • Hadoop compatibility
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