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Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
Sqoop: a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases; STDCXX: collection of algorithms, containers, iterators, and other fundamental components of every piece of software, implemented as C++ classes, templates, and functions essential for writing C++ programs
Its architecture is similar to GFS, i.e. a server/client architecture. The HDFS is normally installed on a cluster of computers. The design concept of Hadoop is informed by Google's, with Google File System, Google MapReduce and Bigtable , being implemented by Hadoop Distributed File System (HDFS), Hadoop MapReduce, and Hadoop Base (HBase ...
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...
Originally a sub-project of Hadoop, [2] it became an Apache Software Foundation top level project in 2012. It was created by Edward J. Yoon, [ 3 ] who named it (short for "Hadoop Matrix Algebra"), [ 4 ] and Hama also means hippopotamus in Yoon's native Korean language (하마), [ 5 ] following the trend of naming Apache projects after animals ...
Apache Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. [1] Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark. [2]
Apache Kudu is a free and open source column-oriented data store of the Apache Hadoop ecosystem. It is compatible with most of the data processing frameworks in the Hadoop environment. It provides completeness to Hadoop's storage layer to enable fast analytics on fast data.
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.