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  2. Voldemort (distributed data store) - Wikipedia

    en.wikipedia.org/wiki/Voldemort_(distributed...

    Voldemort does not try to satisfy arbitrary relations and the ACID properties, but rather is a big, distributed, persistent hash table. [2] A 2012 study comparing systems for storing application performance management data reported that Voldemort, Apache Cassandra, and HBase all offered linear scalability in most cases, with Voldemort having the lowest latency and Cassandra having the highest ...

  3. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    In many big data projects, there is no large data analysis happening, but the challenge is the extract, transform, load part of data pre-processing. [ 225 ] Big data is a buzzword and a "vague term", [ 226 ] [ 227 ] but at the same time an "obsession" [ 227 ] with entrepreneurs, consultants, scientists, and the media.

  4. 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 ...

  5. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  6. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    Hudi: provides atomic upserts and incremental data streams on Big Data; Iceberg: an open standard for analytic SQL tables, designed for high performance and ease of use. Ignite: an In-Memory Data Fabric providing in-memory data caching, partitioning, processing, and querying components [8] Impala: a high-performance distributed SQL engine

  7. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]

  8. List of GIS data sources - Wikipedia

    en.wikipedia.org/wiki/List_of_GIS_data_sources

    NOAA Big Data Project: NOAA generates tens of terabytes of data a day from satellites, radars, ships, weather models, and other sources. While these data are publicly available, it is difficult to download and work with such high volumes. NOAA’s vast wealth of data therefore represents a substantial untapped economic opportunity.

  9. BigQuery - Wikipedia

    en.wikipedia.org/wiki/BigQuery

    BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.