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ze fragmented files dynamically to optimize file access times further developments in file systems resulted in virtualization of disc drives i e where a logical drive can be defined as partitions from a number of physical drives indexed data edit retrieving a small subset of data from a much larger set may imply inefficiently searching through the data sequentially indexes are a way to copy out keys and location addresses from data structures in files tables and data sets then organize them using inverted tree structures to reduce the time taken to retrieve a subset of the original data in order to do this the key of the subset of data to be retrieved must be known before retrieval begins the most popular indexes are the b tree and the dynamic hash key indexing methods indexing is overhead for filing and retrieving data there are other ways of organizing indexes e g sorting the keys and using a binary search algorithm abstraction and indirection edit object oriented programming uses two basic concepts for understanding data and software the taxonomic rank structure of classes which is an example of a hierarchical data structure and at run time the creation of references to in memory data structures of objects that have been instantiated from a class library it is only after instantiation that an object of a specified class exists after an object s reference is cleared the object also ceases to exist the memory locations where the object s data was stored are garbage and are reclassified as unused memory available for reuse database data edit the advent of databases introduced a further layer of abstraction for persistent data storage databases use metadata and a structured query language protocol between client and server systems communicating over a computer network using a two phase commit logging system to ensure transactional completeness when saving data parallel distributed data processing edit modern scalable and high performance data persistence technologies such as apache hadoop rely on massively parallel distributed data processing across many commodity computers on a high bandwidth network in such systems the data is distributed across multiple computers and therefore any particular computer in the system must be represented in the key of the data either directly or indirectly this enables the differentiation between two identical sets of data each being processed on a different computer at the same time properties of digital information edit all digital information possesses common properties that distinguish it from analog data with respect to communications synchronization since digital information is conveyed by the sequence in which symbols are ordered all digital schemes have some method for determining the beginning of a sequence in written or spoken human languages synchronization is typically provided by pauses spaces capitalization and punctuation machine communications typically use special synchronization sequences language all digital communications require a formal language which in this context consists of all the information that the sender and receiver of the digital communication must both possess in advance for the communication to be successful languages are generally arbitrary and specify the meaning to be assigned to particular symbol sequences the allowed range of values methods to be used for synchronization etc errors disturbances noise in analog communications invariably introduce some generally small deviation or error between the intended and actual communication disturbances in digital communication only result in errors when the disturbance is so large as to result in a symbol being misinterpreted as another symbol or disturbing the sequence of symbols it is generally possible to have near error free digital communication further techniques such as check codes may be used to detect errors and correct them through redundancy or re transmission errors in digital communications can take the form of substitution errors in which a symbol is replaced by another symbol or insertion deletion errors in which an extra incorrect symbol is inserted into or deleted from a digital message uncorrected errors in digital communications have an unpredictable and generally large impact on the information content of the communication copying because of the inevitable presence of noise making many successive copies of an analog communication is infeasible because each generation increases the noise because digital communications are generally error free copies of copies can be made indefinitely granularity the digital representation of a continuously variable analog value typically involves a selection of the number of symbols to be assigned to that value the number of symbols determines the precision or resolution of the resulting datum the difference between the actual analog value and the digital representation is known as quantization error for example if the actual temperature is 23 234456544453 degrees but only two digits 23 are assigned to this parameter in a particular digital representation the quantizing error is 0 234456544453 this property of digital communication is known as granularity compressible according to miller uncompressed digital data is very large and in its raw form it would actually produce a larger signal therefore be more difficult to transfer than analog data however digital data can be compressed compression reduces the amount of bandwidth space needed to send information data can be compressed sent and then decompressed at the site of consumption this makes it possible to send much more information and results in for example digital television signals offering more room on the airwave spectrum for more television channels 5 historical digital systems edit even though digital signals are generally associated with the binary electronic digital systems used in modern electronics and computing digital systems are actually ancient and need not be binary or electronic dna genetic code is a naturally occurring form of digital data storage written text due to the limited character set and the use of discrete symbols the alphabet in most cases the abacus was created sometime between 1000 bc and 500 bc it later became a form of calculation frequency nowadays it can be used as a very advanced yet basic digital calculator that uses beads on rows to represent numbers beads only have meaning in discrete up and down states not in analog in between states a beacon is perhaps the simplest non electronic digital signal with just two states on and off in particular smoke signals are one of the oldest examples of a digital signal where an analog carrier smoke is modulated with a blanket to generate a digital signal puffs that conveys information morse code uses six digital states dot dash intra character gap between each dot or dash short gap between each letter medium gap between words and long gap between sentences to send messages via a variety of potential carriers such as electricity or light for example using an electrical telegraph or a flashing light the braille uses a six bit code rendered as dot patterns flag semaphore uses rods or flags held in particular positions to send messages to the receiver watching them some distance away international maritime signal flags have distinctive markings that represent letters of the alphabet to allow ships to send messages to each other more recently invented a modem modulates an analog carrier signal such as sound to encode binary digital information as a series of binary digital sound pulses a slightly earlier surprisingly reliable version of the same concept was to bundle a sequence of audio digital signal and no signal information i e sound and silence on magnetic cassette tape for use with early home computers see also edit analog to digital converter barker code big data binary number comparison of analog and digital recording computer data storage data data dictionary data modeling data remanence data stream data set database index digital architecture digital art digital control digital divide digital electronics digital infinity digital native digital physics digital recording digital revolution digital video digital to analog converter internet forum state computer science tuple references edit ceruzzi paul e 29 june 2012 computing a concise history mit press isbn 978 0 262 51767 6 heinrich lutz j heinzl armin roithmayr friedrich 29 august 2014 wirtschaftsinformatik lexikon in german walter de gruyter gmbh co kg isbn 978 3 486 81590 0 martin hilbert priscila lópez 10 february 2011 the world s technological capacity to store communicate and compute information science vol 332 no 6025 pp 60 65 doi 10 1126 science 1200970 archived pdf from the original on 31 may 2011 also supporting online material for the world s technological capacity to store communicate and compute information pdf science doi 10 1126 science 1200970 archived pdf from the original on 31 may 2011 free access to the article through here www martinhilbert net worldinfocapacity html video animation on the world s technological capacity to store communicate and compute information from 1986 to 2010 11 june 2011 archived from the original on 21 february 2013 retrieved 6 november 2013 via youtube 1 2 miller vincent 2011 understanding digital culture london sage publications sec convergence and the contemporary media experience isbn 978 1 84787 497 9 data loss prevention norton internet security nortoninternetsecurity cc 12 march 2011 retrieved 26 december 2012 data protection data in transit vs data at rest digital guardian retrieved 12 april 2023 the three states of information the university of edinburgh archived from the original on 14 april 2021 retrieved 21 february 2021 pickell devin structured vs unstructured data what s the difference learn g2 com retrieved 17 november 2020 webopedia data at rest 8 june 2007 1 2 what is data at rest definition from whatis com searchstorage techtarget com 22 december 2012 retrieved 26 december 2012 what is data at rest a word definition from the webopedia computer dictionary webopedia com 8 june 2007 retrieved 26 december 2012 06 ec o 0008 data at rest dar protection pdf department of the army information assurance best business practice ia bbp 12 october 2006 archived from the original pdf on 22 december 2016 it research magic quadrants hype cycles gartner archived from the original on 2 may 2004 retrieved 26 december 2012 inmon bill august 2005 encryption at rest information management magazine article information management com retrieved 26 december 2012 cryptographic storage cheat sheet owasp retrieved 26 december 2012 information service patterns part 1 data federation pattern ibm com retrieved 26 december 2012 usa patriot act fincen gov 1 january 2002 archived from the original on 28 december 2012 retrieved 26 december 2012 1 2 m henson and s taylor beyond full disk encryption protection on security enhanced commodity processors proceedings of the 11th international conference on applied cryptography and network security 2013 ciphercloud brings encryption to microsoft office 365 18 july 2012 retrieved 1 november 2013 ciphercloud encrypts data across multiple cloud apps searchstorage techtarget com 6 september 2012 archived from the original on 29 october 2013 retrieved 8 november 2013 gcn john moore march 12 2014 how to lock down data in use and in the cloud m henson and s taylor memory encryption a survey of existing techniques acm computing surveys volume 46 issue 4 2014 secure memory encryption sme x86 wikichip total memory encryption tme x86 wikichip salter jim 26 february 2020 intel promises full memory encryption in upcoming cpus ars technica intel software guard extensions sgx is mighty interesting securosis 15 july 2013 retrieved 8 november 2013 data in motion and data in transit both used on cloudsecurityalliance org pdf archived from the original pdf on 15 april 2016 retrieved 18 april 2016 data in flight january 2010 communications of the acm january 2010 sans white paper on encryption data lexico archived from the original on 23 june 2019 retrieved 14 january 2022 computer program the oxford pocket dictionary of current english archived from the original on 28 november 2011 retrieved 11 october 2012 file 1 openbsd manual pages 24 december 2015 archived from the original on 5 february 2018 retrieved 4 february 2018 paul ryan 12 march 2008 study amount of digital info global storage capacity ars technics archived from the original on 13 march 2008 retrieved 13 march 2008 gantz john f et al 2008 the diverse and exploding digital universe international data corporation via emc archived from the original on 11 march 2008 retrieved 12 march 2008 beynon davis paul 2004 database systems palgrave macmillan isbn 978 1403916013 further reading edit tocci r 2006 digital systems principles and applications 10th edition prentice hall isbn 0 13 172579 3 v t e data information data and value information meta type structure ecosystem library infrastructure value data categories and semantic structure data categories master data master data management reference data transaction data analytical data metadata code tables controlled vocabulary crosswalks hierarchies observation data dark data trade and market data data management and governance management governance cooperatives ethics stewardship lineage curation localization preservation retention publishing open data master data management reference data data quality trust and protection quality information quality validation cleansing scrubbing integrity protection privacy security anonymization de identification re identification minimization erasure remanence corruption degradation loss recovery quality dimensions accuracy completeness consistency timeliness validity uniqueness integrity conformity relevance data engineering and movement engineering integration storage etl elt extract transform load migration synchronization compression fusion format management data preparation and operations acquisition augmentation collection annotation editing deduplication pre processing preparation processing reduction redundancy wrangling munging scraping rescue analysis science and interpretation big analysis exploration mining science topological data analysis warehouse business intelligence data economy and exchange data economy sharing open data philanthropy data as a service data broker responsible reuse exchange use and public context exhaust farming archaeology distributed data domains and digital twins data mesh data product data domains data categories data digital twins digital thread operational twins analytical twins vendors and actors data vendors data technology vendors data service providers data brokers chief data officers information professionals informatica ibm sap oracle sas qlik experian alation category v t 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