Hadoop is a popular open-source big data processing framework that is widely used in the field of data science. It is designed for handling large volumes of data and is well-suited for storing, processing, and...

It becomes necessary to spread out data across a number of different physical computers when it exceeds the storage capacity of a single physical system. Distributed file systems are a type of file system that...

A distributed file system made for common hardware is called Hadoop Distributed File System (HDFS). It and current distributed file systems share a lot of similarities. The differences between this distributed file system and others,...

Erasure coding is one data storage technique that allows you to store huge amount of data with less storage overhead than traditional replication-based approaches.  In traditional replication-based approaches, data is stored on multiple machines, and...

MapReduce is a programming model and associated implementation for processing large amounts of data in parallel across a cluster of computers. It is a key component of the Apache Hadoop open-source software platform, which is...

In the MapReduce programming model, a mapper is a function that processes a set of key-value pairs and produces a set of intermediate key-value pairs. The mapper is typically responsible for filtering and sorting the...

In the MapReduce programming model, key-value pairs are used to represent the input and output data for map and reduce tasks. A key-value pair comprises of a key and a value, both of which can...

A parallel, distributed algorithm called MapReduce is a programming model and its related implementation for handling massive data sets on a cluster. The map task and the reduce job are the two fundamental components of...

In the MapReduce programming model, a combiner is a function that is applied to the intermediate key-value pairs generated by the map tasks before they are sorted and grouped by key. The combiner is optional...

For writing to local or HDFS files, outputFormat instances are utilised. During the execution of a MapReduce task, the output format is used. The output directory is verified by the Hadoop MapReduce job to ensure...