Introduction to Big Data and Hadoop | Free Course with Free Certificate in 2021

Hello Tech Learners, Today we come with new opportunity for you to become expertise in the filed of Introduction to Big Data and Hadoop. Introduction to Big Data and Hadoop is a free course with verified certificate and available on Great Learning platform. Biggest opportunity to explore yourself in this domain.

About Introduction to Big Data and Hadoop:

Nowadays, we are looking that data is everywhere in the world. Existing tools are not enough to process the data and insufficient to process the large data sets. Hadoop is an opensource, Java-based Framework which is developed by Apache and it used to process the big data sets across multiple computers (such ad cluster). And Hadoop is instantaneously becoming a essential skill set for many programmers all over the world. Hadoop uses the MapReduce feature for distributed processing of large data sets. It provides extensive storage for any kind of data, enormous processing power and the ability to handle virtually boundless concurrent tasks or jobs.

Features of Hadoop:

Hadoop is –

  • open source,
  • highly scalable,
  • robust
  • provides faster data processing,
  • cost effective,
  • easy to use and simple
  • enormous processing power, etc.

Course NameCertification on Introduction to Big Data and Hadoop
PlatformGreat Learning
LevelBeginner📊
Course Contain2 hours of Video Content
1 Quiz
Course CostFree
Course Rating4.56/5 ⭐⭐⭐⭐

After Completion of Course, you will able to understand-

  • Big Data basics✅
  • Hadoop✅
  • HDFS✅

Course Syllabus-

  • Introduction to big data
  • What is Hadoop
  • Hadoop architecture
  • HDFS basics
  • Demo HDFS basics
  • Hadoop Yarn introduction

Biggest Opportunity and best platform to utilize and explore yourself in the field of Introduction to Big Data and Hadoop. You will also get verified certificate from Great Learning after Completion of this course. Apply as soon as possible, and Apply Link is given below.

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Conclusion

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For better understanding, refer this video first:

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