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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...

  3. Eucalyptus (software) - Wikipedia

    en.wikipedia.org/wiki/Eucalyptus_(software)

    As part of this agreement, AWS will support Eucalyptus as they continue to extend compatibility with AWS APIs and customer use cases. Customers can run applications in their existing data centers that are compatible with Amazon Web Services such as Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3).

  4. Linked data - Wikipedia

    en.wikipedia.org/wiki/Linked_data

    The above diagram shows which Linking Open Data datasets are connected, as of August 2014. This was produced by the Linked Open Data Cloud project, which was started in 2007. Some sets may include copyrighted data which is freely available. [15] The same diagram as above, but for February 2017, showing the growth in just two and a half years

  5. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    The common solution is to reduce the processing graph to only three layers: Sources; Central ETL layer; Targets; This approach allows processing to take maximum advantage of parallelism. For example, if you need to load data into two databases, you can run the loads in parallel (instead of loading into the first – and then replicating into ...

  6. Data warehouse - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse

    Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...

  7. Data-driven programming - Wikipedia

    en.wikipedia.org/wiki/Data-driven_programming

    Standard examples of data-driven languages are the text-processing languages sed and AWK, [1] and the document transformation language XSLT, where the data is a sequence of lines in an input stream – these are thus also known as line-oriented languages – and pattern matching is primarily done via regular expressions or line numbers.

  8. Data-oriented design - Wikipedia

    en.wikipedia.org/wiki/Data-oriented_design

    In computing, data-oriented design is a program optimization approach motivated by efficient usage of the CPU cache, often used in video game development. [1] The approach is to focus on the data layout, separating and sorting fields according to when they are needed, and to think about transformations of data.

  9. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    For example, Google's copy of the web can be stored in a bigtable where the row key is a domain-reversed URL, and columns describe various properties of a web page, with one particular column holding the page itself. The page column can have several timestamped versions describing different copies of the web page timestamped by when they were ...