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Other projects like AgeGuess [8] focus on the senior demographics and enable the elderly to upload photos of themselves so the public can guess different ages. Lists of citizen science projects may change. For example, the Old Weather project website indicates that as of January 10, 2015, 51% of the logs were completed. [9]
A science project is an educational activity for students involving experiments or construction of models in one of the science disciplines. Students may present their science project at a science fair, so they may also call it a science fair project. Science projects may be classified into four main types. Science projects are done by students ...
Logistics engineering is a complex science that considers trade-offs in component/system design, repair capability, training, spares inventory, demand history, storage and distribution points, transportation methods, etc., to ensure the "thing" is where it's needed, when it's needed, and operating the way it's needed all at an acceptable cost.
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]
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 ...
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The project successfully released over 6500 items and stories online, which can be freely downloaded and used for education and research. The project was funded by the Joint Information Systems Committee. In 2011, the team at the University of Oxford received further funding from Europeana to run a similar crowdsourcing initiative in Germany.
Other data warehouses (or even other parts of the same data warehouse) may add new data in a historical form at regular intervals – for example, hourly. To understand this, consider a data warehouse that is required to maintain sales records of the last year. This data warehouse overwrites any data older than a year with newer data.