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Apache Hadoop ( / həˈduːp /) is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. [vague] It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
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 ...
Big data. Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate.
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. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL ...
Website. hbase.apache.org. HBase is an open-source non-relational distributed database modeled after Google's Bigtable and written in Java. It is developed as part of Apache Software Foundation 's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System) or Alluxio, providing Bigtable-like capabilities for Hadoop.
Shard (database architecture) A database shard, or simply a shard, is a horizontal partition of data in a database or search engine. Each shard is held on a separate database server instance, to spread load. Some data within a database remains present in all shards, [a] but some appear only in a single shard. Each shard (or server) acts as the ...
Doug Cutting. Douglass Read Cutting is a software designer, advocate for, and creator of open-source search technology. He founded two technology projects, Lucene and Nutch, with Mike Cafarella. The Apache Software Foundation now manages both projects. Cutting and Cafarella were also co-founders of Apache Hadoop. [1]
Distributed file system for cloud. A distributed file system for cloud is a file system that allows many clients to have access to data and supports operations (create, delete, modify, read, write) on that data. Each data file may be partitioned into several parts called chunks. Each chunk may be stored on different remote machines ...