which big data open source software was developed from google's mapreduce concept
Answers
'Hadoop' was developed from google's map reduce concept.
Short notes on Hadoop:
Hadoop is a framework that allows for distributed processing of large data sets across clusters of commodity computers using a simple programming model.
Why do we need Hadoop:
Hadoop has the ability to analyze the data present in different machines at different locations very quickly and in a very cost effective way. It uses the concept of mapreduce which enables it to divide the query into small parts and process them in parallel. This is known as parallel computing.
Core components of Hadoop:
Core components of Hadoop are HDFS and MapReduce. HDFS is basically used to store large data sets and MapReduce is used to process such large data sets.
Advantages of Hadoop:
(i) Scalable
(ii) Cost Effective
Disadvantages of Hadoop:
(i) Security Concerns
Hope it helps!