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  2. Mustache (template system) - Wikipedia

    en.wikipedia.org/wiki/Mustache_(template_system)

    The Mustache template does nothing but reference methods in the (input data) view. [3] All the logic, decisions, and code is contained in this view, and all the markup (ex. output XML) is contained in the template. In a model–view–presenter (MVP) context: input data is from MVP-presenter, and the Mustache template is the MVP-view.

  3. JasperReports - Wikipedia

    en.wikipedia.org/wiki/JasperReports

    JasperReports is an open source reporting library that can be embedded into any Java application. Features include: Scriptlets may accompany the report definition, [3] which the report definition can invoke at any point to perform additional processing.

  4. 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.

  5. ClickHouse - Wikipedia

    en.wikipedia.org/wiki/ClickHouse

    ClickHouse’s technology was first developed over 10 years ago at Yandex, Russia's largest technology company. [3] In 2009, Alexey Milovidov and developers started an experimental project to check the hypothesis if it was viable to generate analytical reports in real-time from non-aggregated data that is also constantly added in real-time.

  6. Enterprise bus matrix - Wikipedia

    en.wikipedia.org/wiki/Enterprise_bus_matrix

    The bus matrix purpose is one of high abstraction and visionary planning on the data warehouse architectural level. By dictating coherency in the development and implementation of an overall data warehouse the bus architecture approach enables an overall vision of the broader enterprise integration and consistency while at the same time dividing the problem into more manageable parts [2 ...

  7. Kimball lifecycle - Wikipedia

    en.wikipedia.org/wiki/Kimball_lifecycle

    The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues. The methodology "covers a sequence of high level tasks for the effective design, development and deployment" of a data warehouse or business intelligence system. [1]

  8. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1] The star schema consists of one or more fact tables referencing any number of dimension tables .

  9. Wikipedia:Sandbox - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Sandbox

    You can either edit the source code ("Edit source" tab above) or use VisualEditor ("Edit" tab above). Click the " Publish changes " button when finished. You can click " Show preview " to see a preview of your edits, or " Show changes " to see what you have changed.