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  2. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    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.

  3. MapReduce - Wikipedia

    en.wikipedia.org/wiki/MapReduce

    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 ...

  4. Doug Cutting - Wikipedia

    en.wikipedia.org/wiki/Doug_Cutting

    In December 2004, Google Research published a paper on the MapReduce algorithm, which allows very large-scale computations to be trivially parallelized across large clusters of servers. Cutting and Mike Cafarella, realizing the importance of this paper to extending Lucene into the realm of extremely large search problems, created the open ...

  5. Lambda architecture - Wikipedia

    en.wikipedia.org/wiki/Lambda_architecture

    Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record. [2]: 32 It is intended for ingesting and processing timestamped events that are appended to existing events rather than overwriting them. State is determined from the natural time-based ordering of the data.

  6. Bulk synchronous parallel - Wikipedia

    en.wikipedia.org/wiki/Bulk_Synchronous_Parallel

    The model has also been used in the creation of a number of new programming languages and interfaces, such as Bulk Synchronous Parallel ML (BSML), BSPLib, Apache Hama, [9] and Pregel. [ 10 ] Notable implementations of the BSPLib standard are the Paderborn University BSP library [ 11 ] and the Oxford BSP Toolset by Jonathan Hill. [ 12 ]

  7. Data-intensive computing - Wikipedia

    en.wikipedia.org/wiki/Data-intensive_computing

    The programming model utilized. Data-intensive computing systems utilize a machine-independent approach in which applications are expressed in terms of high-level operations on data, and the runtime system transparently controls the scheduling, execution, load balancing, communications, and movement of programs and data across the distributed ...

  8. Apache HBase - Wikipedia

    en.wikipedia.org/wiki/Apache_HBase

    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.

  9. Apache Hive - Wikipedia

    en.wikipedia.org/wiki/Apache_Hive

    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.