orphan date June 2009 Infobox Company name Summit Structures LLC logo Image summit 294 150 TM.jpg 200px type Internation LLC foundation founder location 946 North Van Buren Street, Allentown, Pennsylvania key people Nathan Stobbe, President & CEO num employees industry Construction , Manufacturing products Steel framed, engineered fabric buildings slogan From concept to completion and beyond revenue operating income profit net income homepage http www.summitstructures.com Summit Structures is a construction and manufacturing company based in Allentown, Pennsylvania , United States . Summit Structures provides fabric membrane buildings up to 300 wide including design, construction, and project management services for structures built for temporary and permanent use. Offices are centrally located in Canada , United States and the United Kingdom . In the news Summit was the maker of the Dallas Cowboys practice facility that collapsed on May 2, 2009 during a wind storm. The National Weather Service confirmed that a microburst impacted the Valley Ranch area where the practice facility was situated . A microburst is an intense downdraft which results in a localized area of strong thunderstorm winds. In extreme cases, microbursts can have winds which exceed 100 mph. ref http www.accuweather.com news weather features.asp?date 2009 05 04 0919 ref However, a draft report from the National Institute of Standards and Technology NIST issued in October 2009 and finalized in January 2010 said the Cowboys facility collapsed in wind speeds of only 55 to 65 mph. ref http www.nist.gov manuscript publication search.cfm?pub id 904696&division 861 ref Summit s parent company, Cover All Building Systems, Inc., of Saskatchewan, Canada, filed for bankruptcy in March 2010. ref http www.lehighvalleylive.com sports index.ssf 2010 03 parent company of summit struc.html ref The collapse left ... Summit Structures Category Allentown, Pennsylvania Category Manufacturing companies ... more details
infobox Book name Syntactic Structures title orig translator image include the file and the image size ... 1st Edition english pub date media type pages 117 isbn oclc preceded by followed by Syntactic Structures ... be 18 more years before LSLT would see publication. Publication Syntactic Structures was Chomsky ... ref and a revised version of these notes were published as Syntactic Structures in the first week ... Structures . Two decades later Dillinger & Pal cio 1997 162 163 , Chomsky recounted At the time ... other worthless things that were coming out. That s the story of Syntactic Structures course notes ... structures is also discussed in Noordegraaf 2001 and van Schooneveld 2001. ref Favorable reviews from fellow American linguists, e.g., Robert Lees, made Syntactic Structures visible on the linguistic .... ref Searle 1972 ref ref Newmeyer 1996 ref Overview of topics in Syntactic Structures In Syntactic Structures , Chomsky tries to construct a formalized theory of linguistic structure and places ... s. In Syntactic Structures , Chomsky invented the term generative and used it in a particular technical ... the current linguistic theory than Chomsky s Syntactic Structures . ref Lyons 1966 ref Prominent historian of linguistics R. H. Robins wrote in 1967 that the publication of Chomsky s Syntactic Structures ... of linguistics Frederick Newmeyer considers Syntactic Structures revolutionary for two reasons. Firstly ... 24 26 ref Syntactic Structures also introduced Chomsky s Mentalism philosophy mentalist perspective ... of language . Before Syntactic Structures , psychologists treated human language in terms of conditioned ... decades. Syntactic Structures also initiated an interdisciplinary dialog between Philosophy of language ... and logical treatment of language, Syntactic Structures also brought linguistics and the new field ... Syntactic Structures during his honeymoon in 1961 and was greatly influenced by it. ref From the preface ... s Syntactic Structures along with me on my honeymoon in 1961. During odd moments, while crossing ... more details
Infobox Album See Wikipedia WikiProject Albums Name Structures Of Death Type studio Longtype Artist Fleshcrawl Cover Fleshcrawl structuresofdeath.jpg Cover size Caption Released September 21, 2007 Recorded Genre Death metal Length 41 22 Language English language English Label Metal Blade Producer Fleshcrawl Reviews Metal Storm webzine Metal Storm Rating 7.5 10 http www.metalstorm.ee bands rating.php?album id 18157 link Compiled by Chronology Last album Made of Flesh Made Of Flesh br 2004 This album Structures Of Death br 2007 Next album Misc Structures Of Death is the eighth studio album by the Germany German death metal band Fleshcrawl , which was released 21.September.2007 in Germany, Austria, Italy, and the Czech Republic, then released in the rest of Europe on 24.September.2007. http www.fleshcrawl.de It is their first album to feature bass guitar bassist Nico Scheffler, who joined in 2005 to replace Tobias Schick http www.metalstorm.ee bands band.php?band id 1415 , and was their first album not recorded in Sweden http www.lordsofmetal.nl showreview.php?id 10293&lang en Keeping consistent with their recent work since As Blood Rains from the Sky, We Walk the Path of Endless Fire As Blood Rains from the Sky... , the band s unique sound is created through an amalgamation of Melodic death metal melodic guitar rhythmics built upon a foundation of very heavy, very familiar, highly brutal death metal brutal drumwork and vocals. Like other Melodic death metal bands, such as Grave band Grave , Arch Enemy and early Entombed band Entombed , Fleshcrawl s guitar work for this album is laden ... gory , death metal esque subjects as insanity Structures of Death Written In Blood , disembowelment ... from Made of Flesh Track listing Skulls Of The Rotten Intro 1 21 Structures Of Death 2 48 Into The Fire ... band The Four Horsemen Starr Lizmi Montgomery and Structures of Death lyrics by Bastian Herzog and Harold ... bloodyflesh Fleshcrawl s Official Myspace Profile DEFAULTSORT Structures Of Death Category 2007 ... more details
Infobox company name Landscape Structures logo File Landscape Structures logo.png 225px type Corporation genre Manufacturing foundation Delano, Minnesota , Start date 1971 founder Barbara King and Steve King location city Delano, Minnesota location country United States locations area served Worldwide key people Steve King, Chairman br Pat Faust, President industry Playground equipment services Park & Playground Design revenue operating income net income assets equity num employees 300 divisions homepage http www.playlsi.com playlsi.com Landscape Structures Inc., founded in 1971 by Barbara and Steve King, is a playground design firm based in Delano, Minnesota . Landscape Structures has designed, manufactured and installed more than 80,000 playgrounds worldwide. They have installations in every state of the US plus Washington, D.C. globally in Australia , Belgium , Cambodia , Canada , China , Colombia , France , Germany , Great Britain , Guatemala , Honduras , India , Ireland , Israel , Italy , Japan , Mexico , Netherlands , Portugal , Puerto Rico , Russia , South Korea , Saudi Arabia , Singapore , Spain , United Arab Emirates , and Uruguay . Originally manufactured of wood , now they primarily utilize steel , aluminium and polyethylene while continuing to develop products using recycled or reclaimed industrial and post consumer waste . Innovations First fitness trail system, 1977 First enclosed trolley Track Ride, 1980 First in industry PVC coated benches and tables, 1982 First transfer system for providing access to play structure for children in wheelchairs, 1993 First to use fully enclosed bolt links to replace S hooks on swings, 1992 First segmented multi directional open slide, 1994 First to use sliding footers on slides to allow plastic parts to expand and contract, 1994 First U.S. playground equipment manufacturer to achieve ISO 9001 Contents of ISO 9001 ISO 9001 Certification , 1996 Certified to ISO 9001 2000 standard, 2003 and ISO 9001 2008, 2009 First U.S. ... more details
of Algorithms and DataStructures . U.S. National Institute of Standards and Technology . 15 ... of datastructures are suited to different kinds of applications, and some are highly specialized ..., while compiler implementations usually use hash table s to look up identifiers. Datastructures are used in almost every program or software system. Datastructures provide a means to manage huge ..., efficient datastructures are a key to designing efficient algorithms . Some formal design methods and programming language s emphasize datastructures, rather than algorithms, as the key organizing ... computer science Record also called tuple or struct Records are among the simplest datastructures ... them. Datastructures not containing code, like those above, are called plain old data structure .... Basic principles Datastructures are generally based on the ability of a computer to fetch and store ... array datastructures are based on computing the addresses of data items with arithmetic operations ... itself. Many datastructures use both principles, sometimes combined in non trivial ways as in XOR ... Basic Combined Programming Language , lack support for datastructures. Many high level programming ... special syntax or other built in support for certain datastructures, such as vectors one dimensional ... usually come with standard libraries that implement the most common datastructures. Examples are the C .... Many known datastructures have concurrent data structure concurrent versions that allow multiple computing threads to access the data structure simultaneously. See also Wikipedia books Datastructures List of datastructures Plain old data structure Concurrent data structure Data model Dynamization ... DataStructures , Cambridge University Press , 2008. Donald Knuth , The Art of Computer Programming ... Structures and Applications , Chapman and Hall CRC Press , 2007. Niklaus Wirth , Algorithms and DataStructures , Prentice Hall , 1985. External links Sister project links wikt data structure commons ... more details
A data architect is a person responsible for ensuring that the data assets of an organization are supported ... should cover database s, data integration and the means to get to the data. Usually the data architect achieves his her goals via setting enterprise data standards. A Data Architect can also be referred to as a Data Modeler, although the role involves much more than just creating data model s. The definition ..., and the principles governing its design and evolution ., where the data architect primarily focuses on the aspects related to data. In TOGAF the Open Group Architecture Framework http www.togaf.org ... and evolution over time. According to DAMA Data Management Association http www.dama.org , , Data Architect ... Certified Data Management Professional would have a wide range of such skills. Translating this to Data architecture helps defining the role of the data architect as the one responsible for developing and maintaining a formal description of the data and datastructures this can include data definitions, data models, data flow diagram s, etc. in short metadata . Data architecture includes topics such as metadata management, business semantics, data modeling and metadata workflow management. A data architect s job frequently includes the set up a metadata registry and allows domain specific stakeholders to maintain their own data elements. Some fundamental skills of a Data Architect are logical data model Logical Data modeling physical data model Physical Data modeling Development of a data strategy and associated polices Selection of capabilities and systems to meet business information needs A Data Strategy enumerates the Data Policies each of which commit the organization to codifying a best practice. A policy may specify any one area of data standards data security or Information Assurance data retention or data steward ship. Data architects usually have experience in one or more of the following technologies Data Dictionary Data dictionaries Data warehouse Data warehousing ... more details
Data munging is loosely the process of converting or mapping data from one raw form into another format that allows for more convenient consumption of the data. This may include further munging, data visualization , data aggregation, training a statistical model , as well as many other potential uses. Data munging as a process typically follows a set of general steps which begin with extracting the data in a raw form from the data source, munging the raw data using algorithms e.g. sorting or parsing the data into predefined datastructures, and finally depositing the resulting content into a data sink for storage and future use. ref name eduunix http www.eduunix.ccut.edu.cn index html oracle O Reilly 20 20Perl.For.Oracle.DBAs.eBook LiB oracleperl APP D SECT 1.html Given the rapid growth of the internet ref name gaurdian http www.guardian.co.uk business 2009 may 18 digital content expansion such techniques will become increasingly important in the organization of the growing amounts of data available. References references ref name eduunix http www.eduunix.ccut.edu.cn index html oracle O Reilly 20 20Perl.For.Oracle.DBAs.eBook LiB oracleperl APP D SECT 1.html What Is Data Munging? ref ref name gaurdian http www.guardian.co.uk business 2009 may 18 digital content expansion The Guardian Internet data heads for 500bn gigabytes ref references Category Data mapping ... more details
Cleanup date January 2008 Unreferenced date December 2009 Data independence is the type of data transparency ... application software applications to make changes in the definition and organization of data. Physical data independence deals with hiding the details of the storage structure from user applications ... carried out against the data. The data independence and operation independence together gives the feature of data abstraction. There are two levels of data independence. First level The logical structure of the data is known as the schema definition . In general, if a user application operates ... not be affected later when new attributes are added to the same relation. Logical data independence ... The physical structure of the data is referred to as physical data description . Physical data ... carried out against the data. There are two types of data independence Logical data independence ... View is called logical data independence. For example, the addition or removal of new entities, attributes ... external schemas or having to rewrite existing application programs. Physical data independence The ability to change the physical schema without changing the logical schema is called physical data ... or storage structures, storage devices, or indexing strategy, should be possible without having to change the conceptual or external schemas. View level data independence always independent no effect, because there doesn t exist any other level above view level. Data Independence Types Data independence has two types Physical Independence Logical Independence. Data independence can be explained as follows Each higher level of the data architecture is immune to changes of the next lower level ... space or type of some data is changed for reasons of optimisation or reorganisation. In this external ... were reorganized here. Physical data independence is present in most databases and file environment in which hardware storage of encoding, exact location of data on disk,merging of records, so on this are hidden ... more details
In metadata , the term data element is an atomic unit of data that has precise meaning or precise semantics. A data element has An identification such as a data element name A clear data element definition One or more representation term s Optional enumerated values Code metadata A list of synonyms to data elements in other metadata registries Synonym ring Data elements usage can be discovered by inspection of software application s or application data file s through a process of manual or automated Application Discovery and Understanding . Once data elements are discovered they can be registered in a metadata registry . In telecommunication , the term data element has the following components A named unit of data that, in some contexts, is considered indivisible and in other contexts may consist of data items. A named identifier of each of the entities and their attributes that are represented in a database . A basic unit of information built on standard structures having a unique meaning and distinct units or values. In electronic record keeping, a combination of characters or bytes referring to one separate item of information, such as name, Address geography address , or age. In the areas of databases and data systems more generally a data element is a concept forming part of a data model . As an element of data representation, a collection of data elements forms a data structure . ref Beynon Davies P. 2004 . Database Systems 3rd Edition. Palgrave, Basingstoke, UK ref In Practice In practice, data elements fields, columns, attributes, etc. are sometimes over loaded , meaning a given data element will have multiple potential meanings. While a known bad practice, over loading ... Application Discovery and Understanding Data element definition Data dictionary Data hierarchy ISO IEC 11179 metadata registry specification Metadata Representation term Universal Data Element Framework ... Standards see ISO IEC 11179 3 2003 clause 3.3.36 DEFAULTSORT Data Element Category Metadata Category ... more details
is then translated into a logical data model , which documents structures of the data that can be implemented in databases. Implementation of one conceptual data model may require multiple logical .... Data modeling defines not just data elements, but their structures and relationships between them ... across systems then compatibility of data can be achieved. If the same datastructures are used to store ... design of the base datastructures used to store the data. In the relational model these are the table ... could also be used to apply to the overall process of designing, not just the base datastructures, but also ... datastructures forms, fields on application screens, or reports. These models are usually ...File 4 3 Data Modelling Today.svg 420px thumb The data modeling process. The figure illustrates the way data models are developed and used today. A Conceptual schema conceptual data model is developed based on the data requirement s for the application that is being developed, perhaps in the context of an activity diagram activity model . The data model will normally consist of entity types, attributes ... point for interface or database design. ref name MW99 Data modeling in software engineering is the process of creating a data model for an information system by applying formal data modeling techniques. Overview Data modeling is a Software development process process used to define and analyze data requirement s needed to support the business process es within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data ... system. There are three different types of data models produced while progressing from requirements ..., Graham. C. 2005 . Data Modeling Essentials .3rd Edition. Morgan Kauffman Publishers. ISBN 0 12 644551 6 ref The data requirements are initially recorded as a Conceptual schema conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss ... more details
Data proliferation refers to the prodigious amount of data , structured data structured and unstructured ... problems that result from attempting to store and manage that data. While originally pertaining to problems associated with paper documentation , data proliferation has become a major problem in primary and secondary data storage device data storage on computers. While digital storage has become cheaper ... not kept up with the proliferation of data. Although the power required to maintain a unit of data ... url http www.deloitte.co.uk TMTPredictions technology Downsizing digital attic data storage.cfm title ... web 20110722194032 http www.deloitte.co.uk TMTPredictions technology Downsizing digital attic data storage.cfm ... spawn large amounts of data. Business e mail some of it important to the enterprise, some much less ... pdf toxic tb.pdf The Toxic Terabyte , IBM Global Technology Services, July 2006 ref Data proliferation ... of the Data Proliferation Problem within Major Air Force Acquisition Programs. ref Efforts to mitigate data proliferation and the problems associated with it are ongoing. ref http www.thic.org pdf Jun02 dod.rroderique.020612.pdf Data Proliferation Stop That ref Problems caused The problem of data ... data storage devices. This has made it very easy to dump data into secondary storage immediately ..., local and national governments, and many other types of organization. ref name IBM Data proliferation ... en home News.asp?id 40615&cid 13 Dealing with data proliferation Vawn Himmelsbach. it business.ca ... data storage, problems finding electronic data are analogous to problems finding hard copy data. Data loss and legal liability when data is disorganized, not properly replicated, or cannot ... customers that a Magnetic tape data storage tape containing confidential information had been ... containing personal data on 600,000 current and former employees had been lost en route to a storage ... printthis 2005 0,4814,103541,00.html Data Lost, Stolen or Strayed , Computer World ... more details
, the retrieval of data from the data warehouse tends to operate very quickly. Dimensional structures ...Refimprove date February 2008 Image Data warehouse overview.JPG thumb 200px Data Warehouse Overview In computing , a data warehouse DW is a database used for reporting and analysis. The data stored in the warehouse ...,sales etc. as shown in fig . The data may pass through an operational data store for additional operations before they are used in the DW for reporting. The typical ETL based data warehouse uses staging ... stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store ODS database. The integrated data is then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchal ... is sometimes called a star schema . The access layer helps users retrieve data. ref name ..., Preeti S. Srikantha Rao Suryakant B. Patil title Optimization of Data Warehousing System Simplification ... volume 9 issue 6 pages 33 37 publisher Foundation of Computer Science ref A data warehouse constructed from integrated data source systems does not require ETL , staging databases, or operational data store databases. The integrated data source systems may be considered to be a part of a distributed operational data store layer. Data federation methods or data virtualization methods may be used to access the distributed integrated source data systems to consolidate and aggregate data directly into the data warehouse database tables. Unlike the ETL based data warehouse, the integrated source data systems and the data warehouse are all integrated since there is no transformation of dimensional or reference data. This integrated data warehouse architecture supports the drill down from the aggregate data of the data warehouse to the transactional data of the integrated source data systems ... more details
considerations, post processing of found structures, Data visualization visualization , and Online algorithm ... of discovering groups and structures in the data that are in some way or another similar , without using known structures in the data. Statistical classification Classification is the task of generalizing ...Distinguish analytics information extraction data analysis Data mining the analysis step of the Knowledge ... field of computer science , ref name acm cite web url http www.sigkdd.org curriculum.php title Data ... Definition of Data Mining year 2010 url http www.britannica.com EBchecked topic 1056150 data ... data set s. It utilizes methods at the intersection of artificial intelligence , machine learning , statistics , and database system s. ref name acm The overall goal of the data mining process is to extract knowledge from an existing data set and transform it into a human understandable structure for further use. ref name acm Besides the raw analysis step, it involves database and data management aspects, Data Pre processing data preprocessing , statistical model model and Statistical inference ... form of large scale data or information processing collection, information extraction extraction , Data warehouse warehousing , data analysis analysis , and statistics but is also generalized to any ... Data mining Practical machine learning tools and techniques with Java ref name witten cite book author1 Ian H. Witten author2 Eibe Frank author3 Mark A. Hall title Data Mining Practical Machine Learning ... , and the term data mining was only added for marketing reasons. ref Cite journal title WEKA ... machine learning , was changed ... The term data mining was added primarily for marketing reasons. postscript .... inconsistent citations ref Often the more general terms large scale data analysis ... appropriate. The actual data mining task is the automatic or semi automatic analysis of large quantities of data to extract previously unknown interesting patterns such as groups of data records ... more details
File Linking Open Data diagram 2007 09.png thumb Linking Open Data project in September 2007 File LOD Cloud Diagram as of September 2011.png thumb Linked Open Data Cloud in September 2011 File Open Data stickers.jpg thumb Clear labeling of the licensing terms is a key component of Open data, and icons like the one pictured here are being used for that purpose. Open data is the idea that certain data ... copyright , patent s or other mechanisms of control. The goals of the open data movement are similar ... open access . The philosophy behind open data has been long established for example in the Merton thesis Mertonian tradition of science , but the term open data itself is recent, gaining popularity with the rise of the Internet and World Wide Web and, especially, with the launch of open data government initiatives such as Data.gov . Overview The concept of open data is not new but although the term ... publishing Open Access where several formal declarations have been made and signed . Open data ... and scientific formulae, medical data and practice, bioscience and biodiversity. Problems ... to, or re use of, the data is controlled by organisations, both public and private. Control may ... of open data argue that these restrictions are against the communal good and that these data should be made available without restriction or fee. In addition, it is important that the data are re ... works may be controlled by license. A typical depiction of the need for open data blockquote ... to permit worldwide availability and distributed process of scientific data, broadening collaboration and accelerating the pace and depth of discovery ..we are busy locking up that data ... Science Commons ref John Wilbanks, Executive Director, Science Commons Creators of data ..., many scientists do not regard the published data arising from their work to be theirs to control and the act of publication in a journal is an implicit release of the data into the commons. However ... more details
Refimprove date December 2008 Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information , suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies ... , some people divide data analysis into descriptive statistics , exploratory data analysis EDA , and confirmatory data analysis CDA . EDA focuses on discovering new features in the data and CDA on confirming ..., a species of unstructured data . All are varieties of data analysis. Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination. The term data analysis is sometimes used as a synonym for data modeling . Type of dataData can be of several types Quantitative datadata is a number Often this is a continuous decimal number to a specified number of significant digits Sometimes it is a whole counting number Categorical datadata one of several categories Qualitative datadata is a pass fail or the presence or lack of a characteristic The process of data analysis Data analysis is a Process theory process , within which several phases can be distinguished ref Ad r, 2008, p. 334 335. ref Data cleaning Data cleaning is an important procedure during which the data are inspected, and erroneous data are if necessary, preferable, and possible corrected. Data cleaning can be done during the stage of data entry. If this is done ... ref is during subsequent manipulations of the data, information should always be cumulatively retrievable. In other words, it should always be possible to undo any data set alterations. Therefore, it is important ... more details
. If the same datastructures are used to store and access data then different applications can share ... describes the datastructures used by a business and or its applications. There are descriptions ... synthesists . Data modeling strives to bring the datastructures of interest together into a cohesive, inseparable, whole by eliminating unnecessary data redundancies and by relating datastructures ... Beynon Davies P. 2004 The structural part a collection of datastructures which are used to create ... of rules governing the constraints placed on these datastructures to ensure structural integrity. The manipulation part a collection of operators which can be applied to the datastructures, to update ... for Data Modeling Len Silverstone & Paul Agnew 2008 . ref are common data modeling structures ...File Data modeling context.svg thumb 360px Overview of data modeling context A data model provides the details ... process modeling process and data models. ref name SS93 Paul R. Smith & Richard Sarfaty 1993 . http ... Contractors and Facilities CAD CAE User s Group. ref A high level data model in business or for any functional area is an abstract model that documents and organizes the business data for communication between functional and technical people. It is used to show the data needed and created by business processes. A data model in software engineering is an abstract model that documents and organizes the business data for communication between team members and is used as a plan for developing applications, specifically how data is stored and accessed. According to Hoberman 2009 , A data model is a wayfinding ... product.sc jsessionid BDF2DA4FC5B78BDBF732346B13FEE048.qscstrfrnt01?productId 1&categoryId 1 Data Modeling Made Simple 2nd Edition , Steve Hoberman, Technics Publications, LLC 2009 ref A data model explicitly determines the structure of data or structured data . Typical applications of data models include database model s, design of information system s, and enabling exchange of data. Usually ... more details
cleanup date July 2009 Data Web refers to a government open source project that was started in 1995 to develop open source framework that networks distributed statistical databases together into a seamless unified virtual data warehouse. Originally funded by the U.S. Census Bureau, with participation at various times by the Bureau of Labor Statistics, the Centers for Disease Control, Harvard University and other non profits. The software provides an open source service oriented architecture that pulls data from different data base structures and vendors that normalizes it into a standard stream of data. The normalized stream is intelligent and supports standard transformations, has the intelligence to understand how to geographically map itself correctly using the correct vintage of political geography, understands standard code sets so that data can be combined in statistical appropriate ways, understands how weight survey data appropriately, understands variance and other appropriate statistical behaviors. The DataWeb network handles small data sets and very large datasets including of course the Census. It contains the Tiger GIS mapping files to support appropriate mapping of all of the human based i.e. political jurisdictions geography in the United States. Data Web refers to the transformation ... of data Resource Description Framework RDF triples and Storage record records formed from them set computer science sets , trees , Graph data structure graphs or objects . Some of these could even come from databases . Tim Berners Lee has suggested that Data Web may be a more appropriate name for the Semantic ... that the long term vision of the Semantic Web as a web of data, where sophisticated applications manipulate the data web. ref http www.guardian.co.uk technology 2006 apr 06 guardianweeklytechnologysection.timbernerslee ... Data Web services Omni functional Web References Reflist External links http www.intelligententerprise.com showArticle.jhtml?articleID 184429656 Breakthrough Analysis A Data Space for Information Coexistence ... more details
causes at least some data loss, and in many cases the logical structures of the file system are damaged ...refimprove date February 2012 Data recovery is the process of salvaging data from damaged, failed, corrupted, or inaccessible Computer data storage Secondary storage secondary storage media when it cannot be accessed normally. Often the data are being salvaged from storage media such as internal or external ... common data recovery scenario involves an operating system OS failure typically on a single ... data files or copies of them on a different partition from the replaceable OS system files. Another ... partition , or a hard disk failure . In any of these cases, the data cannot be easily read. Depending ... , or hard disk recovery techniques ranging from software based recovery of corrupted data to hardware ... data can be read. In a third scenario, files have been file deletion deleted from a storage medium ... File system fragmentation fragments , and may be recoverable. The term data recovery is also used in the context of Computer forensics forensic applications or espionage , where data which has been Encryption encrypted or hidden, rather than damaged, is recovered. Recovering data after physical ... expertise required to make these repairs. Consequently, costly data recovery companies are often employed to salvage important data. Recovery techniques Recovering data from physically damaged ... PCB.jpg thumb right 250px Media that has suffered a catastrophic electronic failure requires data ... recovery procedures by an identical PCB from a healthy drive this does not necessarily work, as data ... procedures require training for successful use most void manufacturers warranties. Recovering data after logical non hardware damage Image Data loss of image file.JPG thumb Result of a failed data recovery from a Hard disk drive. Corrupt partitions and filesystems, media errors In some cases, data ... media errors. In the majority of these cases, at least a portion of the original data can be recovered ... more details
Wiktionary dataData consist of propositions that reflect reality, such as measurements or observations of a variable. Data or DATA may also refer to Data computing , in computer science, often distinguished from code or software Data Euclid Data Euclid , a book by Euclid Data moth Data moth , a moth genus Data Star Trek Data Star Trek , a fictional android in the Star Trek universe DATA , a non governmental organization founded by Bono DATA band , a techno pop band created by Georg Kajanus Data Records , a record label Data URI scheme Design and Technology Academy , a school in San Antonio, Texas, USA Durham Area Transit Authority , the public transit agency serving Durham, North Carolina, USA Data, a character in The Goonies DATA, a diarylpyrimidines diaryltriazine , a class of organic molecules disambiguation da Data flertydig de Data el es Data desambiguaci n eu Datu argipena fr Data it Data ms Data nyahkekaburan nl Data no Data nn Data pt Data desambigua o simple Data sv Data ... more details
Data driven means that progress in an activity is compelled by data , rather than by intuition or personal experience . This often refers to Data driven programming Data driven journalism Data driven testing Data driven learning, or DDL Data driven science disambig ... more details
A screenshot of MSD Editor which uses datastructures to visualize control data. Frank Barknecht ... in tables, which can then be read back and used as audio signals or control data. Datastructures ... s name, datastructures enable Pd users to create arbitrarily complex static as well as dynamic or animated graphical representations of musical data. Much like C language struct C structs , Pd s structs are composed of any combination of floats, symbols, and array data, which can be used as parameters ... environment for describing datastructures and their graphical appearance. The underlying idea ... Chapter 2 2.9. Datastructures File solitude.png thumb 600px center Score for Hans Christoph Steiner s em http at.or.at hans solitude Solitude em , created using Pd s datastructures. Projects using ...Original research section date May 2008 Infobox software name Pure Data logo File screenshot File Pure Data with many patches open netpd project .png thumb caption Pure Data with many patches open netpd ... projects pure data files SourceForge file page ref latest release date Start date and age ... licenses SIBSD website URL puredata.info Pure Data Pd is a visual programming language developed by Miller ..., and externals designed to work with it like Pure Data Packet PiDiP for Linux, Mac OS X , framestein ... Data and Max are both arguably examples of dataflow programming languages. In such languages, functions ... message, atom, object, and comments. Like Max, Pd is a data flow programming language. As with most digital signal processing DSP software, there are two primary rates at which data is passed sampling ..., objects, atoms, and comments. Atoms are the most basic unit of data in Pd, and they consist of either ... data into flowing, much like pushing a button. Pd s native objects range from the basic mathematical ... filter design filters . Data can be loaded from file, read in from an audio board, MIDI , via Open ... data structure s, which can be used in a large variety of ways, from composing musical scores, sequencing ... more details
Room of a data center. A data center or data centre or computer centre also datacenter or datacentre ... and storage systems. It generally includes redundant or backup power supplies, redundant data communications ... devices. History Data centers have their roots in the huge computer rooms of the early ages of the computing ... the servers in a specific room inside the company. The use of the term data center, as applied ... of data centers came during the dot com bubble . Companies needed fast Internet connectivity and nonstop ... Internet data centers IDCs , which provide businesses with a range of solutions for systems deployment ... data centers, and were adopted largely because of their practical results. With an increase in the uptake of cloud computing , business and government organizations are scrutinizing data centers ... Industry Association , specify the requirements for data center design. Well known operational metrics for data center availability can be used to evaluate the business impact of a disruption. There is still ... data center design. Data centers are typically very expensive to build and maintain. Requirements for modern data centers Image Datacenter telecom.jpg thumb left Racks of telecommunications equipment in part of a data center. IT operations are a crucial aspect of most organizational operations. One ... chance of disruption. Information security is also a concern, and for this reason a data center has to offer a secure environment which minimizes the chances of a security breach. A data center must ...&input doc number TIA 942&input doc title TIA 942 Telecommunications Infrastructure Standard for Data Centers , which specifies the minimum requirements for telecommunications infrastructure of data centers and computer rooms including single tenant enterprise data centers and multi tenant Internet hosting data centers. The topology proposed in this document is intended to be applicable to any size data center. ref http www.tiaonline.org standards ref Telcordia http telecom info.telcordia.com site ... more details
unreferenced date February 2011 Data scraping is a technique in which a computer program extracts data from human readable output coming from another program. Description Normally, Data transmission data transfer between programs is accomplished using datastructures suited for Automation automated processing ... data scraping from regular parsing is that the output being scraped was intended for display ... usually neither documented nor structured for convenient parsing. Data scraping often involves ignoring binary data usually images or multimedia data , Display device display formatting, redundant ... automated processing. Data scraping is most often done to either 1 interface to a legacy system which ... , or the loss of control of the information content. Data scraping is generally considered an ad ... scraping Screen scraping is normally associated with the programmatic collection of visual data from a source, instead of parsing data as in web scraping. Originally, screen scraping referred to the practice of reading text data from a computer display Computer terminal terminal s Display device ... exchange of data. This could be the simple cases where the controlling program navigates through the user interface, or more complex scenarios where the controlling program is entering data into an interface ... a hypothetical legacy system dating from the 1960s the dawn of computerized data processing ... the resulting display output, extract the desired data, and pass it on to the modern system. In the 1980s, financial data providers such as Reuters , Dow Jones & Company Telerate , and Quotron displayed data in 24x80 format intended for a human reader. Users of this data, particularly Investment banking investment banks , wrote applications to capture and convert this character data as numeric data for inclusion into calculations for trading decisions without re keying the data. The common ... the bitmap data from the screen and running it through an Optical character recognition OCR engine ... more details
them. Datastructures not containing code, like those above, are called plain old data structure ...other uses2 Data type In certain technical fields especially computer programming and statistics , a data type is a classification identifying one of various types of data, such as real valued , integer or Boolean data type Boolean , that determines the possible values for that type the operations that can be done on values of that type the meaning of the data and the way values of that type can be stored. ref http foldoc.org data type ref ref Shaffer, C.A. DataStructures and Algorthms , 1.2 ref Most data types in statistics have comparable types in computer programming, and vice versa, as shown ... rowspan 2 floating point real valued ratio scale count data but, usually non negative Integer computer science integer binary data Boolean data type Boolean categorical data enumerated type random vector list abstract data type list or array data type array random matrix two dimensional array data type array random tree disambiguation random tree tree data structure tree The rest of this article addresses data types from a computer science perspective. For their use in statistics, see statistical data type . Overview Data types are used within type system s, which offer various ways of defining ... ref Almost all programming languages explicitly include the notion of data type, though different languages may use different terminology. Common data types may include Integer computer science integers , Boolean data type boolean s, Character computing character s, floating point floating point ... This example is just plain daft and gives an entirely misleading view of what a data type is . Most programming languages also allow the programmer to define additional data types, usually by combining multiple elements of other types and defining the valid operations of the new data type. For example, a programmer might create a new data type named complex number that would include real ... more details
Unreferenced date March 2007 A data field is a place where you can store data . Commonly used to refer to a column in a database or a field in a data entry form or web form. The field may contain data to be entered as well as data to be displayed. See also wiktionary DataData dictionary Data element Data acquisition Data hierarchy Category Data management it Campo informatica ... more details
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