Analysis of Hadoop Architecture, Modules, and Components, As Well as Comprehension of Its Future Reach and Constraints

Abstract

Hadoop is an open source system for storing massive amounts of data ranging from gigabytes to petabytes. Traditional data storage systems store data in a single huge computer, enabling only one data set to be reviewed at a time, but Hadoop design allows for data set clustering, allowing numerous datasets to be assessed concurrently without interfering with one another. Hadoop's data processing speed and reaction time are quicker when compared to conventional data storage systems. Hadoop architecture also serves as the foundation for a wide range of services and applications. Some of the most popular Hadoop applications include Spark, Hive, Presto, and Hbase. Hadoop has the ability.