Apache Hadoop is one of the widely used frameworks. Hadoop allows the distributed processing of large datasets across clusters of commodity computers using a simple programming model. Hadoop uses the concept of MapReduce. MapReduce divides the input query into small parts and processes them in parallel to the data stored on the Hadoop distributed file system (HDFS).
Hadoop has the following features:
- It is scalable
- It is cost-effective
- It provides a robust ecosystem
- It provides faster data processing
Hadoop can be used as a storage framework for NLP applications. If you want to store large amounts of data, then you can use a multinode Hadoop cluster and store data on HDFS. So, many NLP applications use HDFS for their historical data. Hadoop sends a program to the data and the data processes it locally. These features give Hadoop good speed...
