what is data assimiliation?
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Data assimilation is a novel, versatile methodology for estimating oceanic variables. \nThe estimation of a quantity of interest via data assimilation involves the combination of observational data with the underlying dynamical principles governing the system under observation. \nThe melding of data and dynamics is a powerful methodology, which makes possible efficient, accurate and realistic estimations which might not otherwise be feasible. \nIt is providing rapid advances in important aspects of both basic ocean science and applied marine technology and operations.
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Normalization is when you make a database not have redundant information. Technically, if you have a table of people and addresses, each state should be in a different table with a foreign key referring to it in the people table. For example:\n\nPeople\n-----------\npid - primary key int(10)\nname\naddress\ncity\nstateid - foreign key int(2)\nzip\n\nstates\n--------\nstateid - primary key int(2)\nstateabbrev\nstatelongname\n\nIn that way no single piece of data should be in the database more than once. But that's fifth normalization which might not make sense for what you're doing.
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it forms your database/statistics
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Data base management system by F.Korte.
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Well CD R read it and learn\n\nhttp://www.google.co.uk/search?hl=en&q=data-entry%2C+data-conversion&btnG=Search&meta=
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Threre are thousand kinds of information tables in stat.They all serve different purposes. Which one are you talking about?
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Well you can join _tables_ together in such a way. But because the DataRelation object is added to the DataSet's .Relations collection, they do have to be inside the same DataSet.\n\nWhy, out of curiosity, are you using separate DataSets? Even if you are drawing from two different databases, there is nothing that compels you to use separate DatSets at all. Even if you are using a SqlDataAdapter and a SqlCommandBuilder to cause updates and inserts, the DataAdapter's .Update() command accepts DataTable parameters - there's no need to have these be in separate DatSets. \n\nConsider rewriting your code to consolidate the DataSet...
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staff is\nnurses are\n\nworkforce is\nworkers are\n\nteam is\nteam members are\n\nhas to do with singular and plural\nyour question is mixed because one of the words is\nsingular and one is plural.\n\nsometimes usage gets weird.\nlike data and datum\ndata was originally plural...so it should be data is\nbut everyone says data are...\nit gets used as a plural...\nwords evolve and change.  this is one place that is possibly changing.
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it depends on wat kinda databse and wat languge?//
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A data warehouse is, primarily, a record of an enterprise's past transactional and operational information, stored in a database designed to favor efficient data analysis and reporting (especially OLAP). Data warehousing is not meant for current "live" data.
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Try this one -\nhttp://www.datapigtechnologies.com/
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Storing the Data\nData is stored on the surface of a platter in sectors and tracks. Tracks are concentric circles, and sectors are pie-shaped wedges on a track, like this: \n\n \n\n\nA typical track is shown in yellow; a typical sector is shown in blue. A sector contains a fixed number of bytes -- for example, 256 or 512. Either at the drive or the operating system level, sectors are often grouped together into clusters. \n\nThe process of low-level formatting a drive establishes the tracks and sectors on the platter. The starting and ending points of each sector are written onto the platter. This process prepares the drive to hold blocks of bytes. High-level formatting then writes the file-storage structures, like the file-allocation table, into the sectors. This process prepares the drive to hold files. \n\ncheck out the link below for an image and more information.  the section your looking for is on page #7
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provide data storage and transaction
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You just have to know the basics of the database structre and how the data is stored. Belive me its not difficult.
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In data processing or information processing, a Data Processor or Data Processing Unit or Data Processing System is a system which processes data which has been captured and encoded in a format recognizable by the data processing system or has been created and stored by another unit of an information processing system.\n\nA data processor is a specialized component or form of an information processing (sub)system. Its chief difference is that it tends to perform a dedicated function (i.e., its program is not readily changeable). Its dedicated function is normally to perform some (intermediate) step of converting input ('raw' or unprocessed) data, or semi-processed information, in one form into a further or final form of information through a process called decoding / encoding or formatting or re-formatting or translation or data conversion before the information can be output from the data processor to a further step in the information processing system.\n\nFor the hardware data processing system, this information may be used to change the sequential states of a (hardware) machine called a computer. In all essential aspects, the hardware data processing unit is indistinguishable from a computer's central processing unit (CPU), i.e. the hardware data processing unit is just a dedicated computer. However, the hardware data processing unit is normally dedicated to the specific computer application of format translation.\n\nA software code compiler (e.g., for Fortran or Algol) is an example of a software data processing system. The software data processing system makes use of a (general purpose) computer in order to complete its functions. A software data processing system is normally a standalone unit of software, in that its output can be directed to any number of other (not necessarily as yet identified) information processing (sub)systems.
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Data Warehousing is the concept of storing the large amount transactional data in a way it can be quarried for analytical purposes. Data is the same but the way it is stored in the database is very different. It is subject oriented and dimensional in nature.
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Data Management Assistance Corporation