Hadoop Online Training - NareshIT

About Hadoop Online Training:

   Doug Cutting, Mike Cafarella, and team developed HADOOP in 2005 by taking the solution provided by Google. Hadoop is an open source and Java-based programming framework. It is used for data processing and storage of large data sets in a distributed environment. It is a part of the Apache project sponsored by the Apache Software Foundation. It consists of computer clusters designed from commodity hardware. This Hadoop course from Naresh I technologies is designed based on the demand in the current IT market and also for Certification. Bigdata Hadoop is set to change the IT industries in a big way by processing the data. Hadoop uses structured, Semi-structured and Unstructured data.

Hadoop Course Objective:

After completion of the Hadoop Course at Naresh I Technologies, you will be expertise and eligible for:-
  • Complete knowledge of all components in Hadoop like MapReduce, Sqoop, HBase, Hive, Pig, HDFS, Flume, ZooKeeper, Oozie, etc.
  • Able to work on Hadoop related Project independently.
  • Setup/Install/Configure Hadoop in Dev/Support/Test environment.
  • Understand the architecture of Hadoop and various operations performed on it
  • Familiar with standard solutions.

Who should go for this course:

  • Any IT experienced Professional who is interested to work on IT job related to Data Science, Bigdata, Hadoop, etc.
  • Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
  • Fresh Graduates.

Pre-requisites:

The course can learn by any IT professional having basic knowledge of:-
  • Unix/Linux Operating System.
  • Core Java.
  • Database concepts of SQL.


 Hadoop-Online-Training

For More Details: Hadoop Online Training 

Hadoop Online Training:
Registration Link: https://goo.gl/HIB0wL
Email: online@nareshit.com | Contact: +91-8179191999
👨‍💻Features of Online Training:
Real-Time Oriented Training
Live Training Sessions
Softcopy of Materials
Interview Preparation Tips
FAQ's

0 comments:

Post a Comment