• Articles
  • Tutorials
  • Interview Questions

Definition Of MapReduce

What is MapReduce?

MapReduce is a patented software framework introduced by Google to support distributed computing on large data sets on clusters of computers.

MapReduce is a functional programming model. It runs in the Hadoop background to provide scalability, simplicity, speed, recovery and easy solutions for data processing.

Here is a Mapreduce Tutorial Video by Intellipaat

Why MapReduce?

Normally traditional enterprise system used centralized processing server to store and process data. This system is not suitable to process large volumes of data. If we are trying to process multiple files concurrently, then the centralized system creates too much of a bottleneck. Google gave the solution to this bottleneck issue by using an algorithm known as MapReduce.

In the MapReduce process the large tasks are split into smaller tasks, and then they are assigned to many systems.

Become a Professional in MaReduce by enrolling in MapReduce Course.

Ways  to MapReduce

Libraries : Hbase, Hive, Pig, Sqoop, Oozie, Mahout and others
Languages : Java *, HiveQL (HQL) , Pig Latin, Python, C#, Javascript, R and more.
This blog will help you get a better understanding of Spark vs. MapReduce: Who is Winning?

Course Schedule

Name Date Details
Big Data Course 20 Jul 2024(Sat-Sun) Weekend Batch
View Details
Big Data Course 27 Jul 2024(Sat-Sun) Weekend Batch
View Details
Big Data Course 03 Aug 2024(Sat-Sun) Weekend Batch
View Details

About the Author

Technical Reseach Analyst - Data Engineering

Abhijit is a Technical Research Analyst specializing in Deep Learning. He holds a degree in Computer Science with a focus on Data Science. Being proficient in Python, Scala, C++, Dart, and R, he is passionate about new-age technologies. Abhijit crafts insightful analyses and impactful content, bridging the gap between cutting-edge research and practical applications.