BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.

Detailed explanation-2: -Hadoop itself is an open source distributed processing framework that manages data processing and storage for big data applications. HDFS is a key part of the many Hadoop ecosystem technologies. It provides a reliable means for managing pools of big data and supporting related big data analytics applications.

Detailed explanation-3: -It provides a software framework for distributed storage and distributed computing. It divides a file into the number of blocks and stores it across a cluster of machines. Hadoop also achieves fault tolerance by replicating the blocks on the cluster.

Detailed explanation-4: -It is the most commonly used software to handle Big Data. There are three components of Hadoop. Hadoop HDFS-Hadoop Distributed File System (HDFS) is the storage unit of Hadoop. Hadoop MapReduce-Hadoop MapReduce is the processing unit of Hadoop. Hadoop YARN-Hadoop YARN is a resource management unit of Hadoop.

Detailed explanation-5: -What type of database is Hadoop? Technically, Hadoop is not in itself a type of database such as SQL or RDBMS. Instead, the Hadoop framework gives users a processing solution to a wide range of database types. Hadoop is a software ecosystem that allows businesses to handle huge amounts of data in short amounts of time.