Hadoop : Map Reduce | Free Course | Get Verified Certificate in 2021
Hello Tech Enthusiasts, Again, we come with huge opportunity for you to become expertise in the filed of Hadoop: Map Reduce. Hadoop: Map Reduce is a free course with verified certificate and available on Great Learning platform. Biggest opportunity to explore yourself in this domain.
About Hadoop : Map Reduce
Map Reduce is a framework which is used to write applications for processing excessive amount of data, in parallel, on large clusters of commodity hardware in a responsible manner. Map Reduce is a procedure and a program model for distributed processing of data based on Java. The MapReduce algorithm contains two essential tasks, named as Map and Reduce. Map takes a set of data and converts it into different of data, where every individual elements are broken down into rows (key/value pairs). Secondly, reduce task, which takes the output from a map as an input and combines those data rows into a smaller set of rows. As the sequence of the name MapReduce suggests, the reduce task is always performed after the map job.
The tutorial first begins with introduction to MapReduce and its technique by validating it. And Later, you will learn about Hadoop and YARN architecture, HDFS advanced concepts, and configuration files in HDFS.
| Course Name | Certification on Hadoop : Map Reduce |
| Platform | Great Learning |
| Level | Beginner📊📊 |
| Course Contain | 2 hours of Video Content 1 Quiz |
| Course Cost | Free |
| Course Rating | 4.58/5 ⭐⭐⭐⭐ |
After Completion of Course, you will able to understand-
- Map reduce✅
- Hadoop and YARN architecture✅
Course Syllabus-
- Introduction to map-reduce
- Map-reduce approach with demonstration
- HDFS in Hadoop 1.x vs in Hadoop 2.x YARN
- HDFS advanced concepts
- HDFS configuration files
Biggest Opportunity and best platform to utilize and explore yourself in the field of Hadoop : Map Reduce. 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.
Conclusion
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For better understanding, refer this video first:
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