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`ZIPIT EX. 2005, pg. 1
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`ZIPIT EX. 2005, pg. 1
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`A
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`NEWTON's TELECOM DICTIONARY
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`ZIPIT EX. 2005, pg. 2
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`ZIPIT EX. 2005, pg. 2
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`

`

` Database Clustering
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`r
`yo represent ones and zeros.
`'i e data slice
`lowsa tech iciarr or engineer to
`partner procuctsaswelas theirowr professionalservicesiocused on saving business prob-
`“we! whether the radio syste
`is working prope ly.
`I does this by logically ”slicing”
`lems tirou h the ente prise level. — NCR.
`
`may!“ wave‘ in time in order to view the ones cmc zeros at the d.ta strearrr.
`3)
`he slace whe e business managers ccn access iniormat'on for r anogerioi p ocessv
`ll” ”Scum t. The originatirg device in a dot
`con mu icatiors link.
`es. They’re built or decision mokin_ purposes it’s an elaborate process that consis s at a
`
`Dag?”obiefl identifier in RMON that epresentso JO ic lo intertace.
`solutio mcde up of
`any products. — Oracle.
`
`{a Span Any digital service, H, 56K,
`lSDN a cat
`c
`rying service.
`4) A group 0 ind'viduals, processes, me hodologies -—- ol
`the tlri gs that decl with
`
`rdividuol
`para Steward A new role a data caretaker e re g'ng ‘n busiress units,
`and manage data incuding clenrrsi g, errlnrcing, standardizing, consolidating a d dis-
`
`Da yegponsibilities for the data corrten and quality.
`senrina irrg 't. —— Acx'om.
`l”la Stream l. Collection of charccters and do c b'ts tra smitted through c crannel.
`5) A do a sto e thct companies build w e e they’re storing heir irriormation assets so
`
`' N2 ArrSCSAterm. A COHliiiUOUS lOW otcaliprocess’ E (0i -
`hey co
`ex roct knowedge and u
`erstan irg to t e ope atio a d pe orrrronce o
`reir
`
`Data Surfer A peson who rakes a livrng do’
`0 line resea ch and it a
`ration
`usiness. ~ Log'c Works.
`.
`.
`‘
`a total.Also known aso Cybrcrrro
`(co esironr cybe spoce librarian) oros pe se rcher.
`The tea: was corred by W. H.
`Inmon.
`BAA soTetm es uses the term ”m ornc |0tt
`'
`' n,
`worero se.
`hlztlblllglliritchin Exchange .SE. ilre'equr
`e tirstalledata s'nge ocotion Data Warehousing A so wore sra egy ' which dao 's extacted iron l rge
`taperiorm switching it c'orrs suc
`as c curt swr chrrg, rressage swtchrng,
`d J cket
`ransac anal data cses a dotre sources a c sored n stralle do abases, mokr gcroy-
`er'thina
`'
`_
`‘
`.
`sis oit e do a sac ew atecsrer. See Dar Wcreho se.
`.
`.
`.
`: Data Synchronization
`e'p ocessof ee
`c
`abased totm ely an reev Datmastmg be torn rstypcay sect
`rela'on a mo
`atrorr services he oe
`v: tbyse ding and receiv‘ng Ir oratro betweer
`lap ops, be
`eer desktops
`ode
`variable hycrgr ol ill, sucr as co
`J rertary nlormatro pesen ed naccrtro
`t‘ei'red
`o
`earl etwee bigger com ters ct "eodqu rters. See aso Syrc ronrzatron onc Replca IO .
`.V prog amamg. A dotoccstnc servce rs soocly der ed asa se vrce tha dervers co
`e t
`gum Terminal A generic te rr
`tor a pece oi eqcrpr ent in a syster caporle of
`Ir the arm of tex, .ata, speech,
`us'c 0 at e sou dso vis
`li rages (a ma y or
`data /orreceivingcatas'g
`5-
`orcom 'nationoiio ms
`t
`'
`opesors w'l c3 ropio e ecep ion ecurament, w en iecel'v-
`Data Terminal Equipment “TE. A to
`‘ o clev'ce in tre do a we d. TE ‘s
`ery oit e se vice uses tre b oodcas in_ se v’ces bancs
`mi
`_
`disc'plinediashiorso hct
`pertain
`oadergroupi gofecui
`ent now as CP"(Cus omer Premises Eq.ip ent,
`DutubaseAco ectio o cotasr ct ec ndoganize i"
`to ywaysoforganizirg
`e
`tic incl
`es voice, as wel as data,
`to
`inas.A teterm'nol end oic d to re snis-
`ccess 's possiblea ickly oi fo ratio a 'neest.
`here
`sieeriEco rprisest eta snrita c ece've ea ip en.JTE can be in lreiorr oicd m
`atabcses.
`ost corroratecct bases are
`a one si ge,h gei'e.
`eyarerultipedoto-
`ttrnrholii.e.,atermirolw'trou er bedded intelligencei
`the tormo progror ned ocic,
`oses eatec to eac at e Jysorecor r o
`t eac,e.g.
`e
`sloyeeide 'icat'onn r~
`o Eo m (Dfi m
`in aaO <2.
`<2 Q a
`m
`oseni-iate 'gent ten in , or or ii elige
`hos
`co
`p ter (to, a PC,
`ic-ra go o a air-
`ser. Do abases are
`ade
`p
`'
`ld. A recorc is o e cor
`-
`lame comauter). DiE irteriaces
`o
`c
`circ it
`rroJ h M (Dt
`Corr
`ric t'os
`Jetee yiradota ose,e.g. to y Newtor,235 Westi9Sree,York,N UDl
`,2i2-
`iqvip ent.SeeDCEand‘ E.
`2.6-7 Z0.Atieldw0uic 3e
`‘
`'
`d
`ez coce e, areyiODl.
`Data Terminal ReadyO e at he contro s'g also a sto carc RS-232-C cor-
`Datc uses are sore
`o“ co
`1 tes ‘
`'iie ent ways. Sore are com "c ceireate .
`certaritir 'catesiit eda a ter
`i 0 ea ‘ mertis sresent, con ected an recdyo
`has
`ey di"ere t'ate be
`ee
`tne'
`i'e sw'
`cart as——— It e 3e y’s ecord above. A me e
`hadhnds
`ing sign is veiied. See RS-232~C an tleAppend'x.
`comma way otsto'ngc to
`ses'swi
`t'xe
`enut
`records. sere, al
`tie 'edsandal
`Data Transfer Rate ire speec at w 'ch 0 a 's tarserrec for are dev'ce to
`e reco ds cre oit es
`e le 9
`. ire co
`go or i‘nds f'elds yincex arc ry counting.
`c
`anotherb
`ransfe
`rates are
`sicay expressed i
`rregcbits (c ri'on bis)
`~orexorple, Gerry’s hrs
`a
`e
`"oh 0 c py t e i'rst lS crc actes. Gerys lost none
`0
`ratgaytesiorilliontytes)
`erseco*d.
`'glrtbe the ext2och rce
`’
`r
`s,ec.W"ee6errys ramesae oos or
`to '
`ire iull i5
`re
`Data Transfer Request Signal Ac lca tro s'g al trarsrr'ted byc DCE
`20 clcroc es, the'ri'
`so e ”
`ddec” w' hs ec'a y-closerc or ctesw 'c
`the co
`-
`it‘aDiEto'rdicateth todistan DiEw ts oexc arrge dc a.
`p terrecogn'zesas added chcrac ers o be 'gno ed.
`rerost' rsorantt i g oreme -
`Data Transfer Time Tie i et at eapses betwee
`he initio 0 e 'ng o aunit
`er abo
`datcbases is t at oi
`t 6 car men do base pogo s,
`it e dBAS', Paradox
`R
`Glaserdataio netwokby rans
`'t'rg cata ermirol equip ertandt eco plete deliv-
`ase, etc. co ’tau onra icol mc ebackupsot "e'r
`iles like word rocess' gprogro s
`.
`Y
`trinithat nttorecevingdao er
`' aleau‘pmen,
`co.
`reeore, before you mcck w'
`oda bcse ‘e——sotr,‘
`exit, es
`ClJtB it, etc.
`'
`r
`Data Typmg Wlen co ver 'ng
`do oboseto
`one to
`a to another, several con-
`Pease r ake s.re you mckec
`ac po t e ma"
`do cbase l'le.
`m
`tersienprog'ams will co ve ttleca a on car mo
`ormat be are conve ti g tto etirral Database Admmlstmtor
`. A perso w o orgor 'zes, ces'gns,
`'mplenrea
`V6fti0aDUr
`econversior
`recess
`pogrc rray check to ah the dot "at edato-
`cnd rms he co pory’scot bases. Since persoraly bel'eve dc aboses—especiallyo
`isit‘llttrleteri e who it 's an
`arb‘ rariy
`ke one field ru eric, o e ie
`cloracter,
`pos ecso dcrstor es—ae Jetywelcco pany’srros 'r ortcn asse,
`lrisiobo
`gle'lel‘lme no, etc.
`c
`to
`se
`d
`i“istrator is very" notion.
`All,“ itser Part DU .Hg"e cyerupp'cat'ot protoco ir SS7 i0 tleexc a ge oi
`2. )3A.Acompu era MCiWolcco
`t a m"
`at stler ase tileo Vne tonslaio
`elattamtche
`atcr; not supporte
`' iorrot‘on.i emose i'eiscrec edwrer us or e beg'ns se v'ce ordcan be charged
`by 3 N5.
`fig" WurehouseAdo (twore ouse is
`cert al reposi e
`or all or s’g iica
`pa ts
`a yirre tosgh (AA, The
`p ated cop'es oft e dctabase c e down oacie
`eaclr
`'g t
`c
`.
`.
`o
`redata that on enerpr‘se’s vc ‘o sbcsiness systems colect
`t e DAPs.
`ihisd to co e'ler 3e
`2 messit‘liiltiilit’ltyusesorpu o
`OlAJSeveriorrrtore ro ouglronalys'
`e- Database Clustering Database cl ser' 9 isa ec roogy that allows ab c
`.
`s
`0
`rs. aa wo
`
`nm
`LA—
`«Emil? “573W servers. OLAPscnds for en ti eAnaly "cal 3rocessinc
`led a
`o corp Iters corrnecte
`ogetier a wok as o e crd serve
`sir ie re ation ldatabcse.
`»0
`
`
`MW} in 3:0d0
`atabaseAccard g o 3C Week,t eserlatabrsescanslrce anc dice ears
`. e dealrs trct toget er they‘co create c taul vto'ero t, irg pe orrna ce, scalable sol
`-
`
`Attrition | to ace mea mg ul es.ts hot got
`beyond wlro ca be prod ced usrgtae
`ton trots a low-cost aternotrve 0 large, expensve servers. Jarrbase clustering IS
`so
`" a lWitiltmGflsro alqueryc t eport roosttot work w'r rostrelatiora do abases.
`called eal
`pplicatior
`cl steri g (RAC).
`le
`| wroe t
`is
`'t w s new and relotivey
`
`into 1% ”at?“ are bests ited a war with data warehouses. See Data We eho s‘ng.
`errover. it e e are two com 0 met ocs oi clus eri g relate a datcboses, knowr as
`g 9
`iiiiozrne (nowco ec iro sorm gozine) once wo e a story or (in c we e-
`sha ecdisk” nd “shorednot inc” clus er‘rrg. B
`’5 D32 Jn'verso Database (DB2 U
`cx:
`
`Sllmdllllfeilgllieli'lglllglec er, to rc’ eiining
`cato wareio seto be puzzlingo bes
`usesc 5 mod othirrg o rroocr.
`r
`this arch tectu e, eaclr noce 'r the cluster holds 0 y
`
`Collecttrllllllllo 53.66!
`to
`a ethe Iostsense:
`.
`‘
`.
`one seg ren oi the databasea dthe node aso lancles oi oft e co rputatronal wo
`
`aweoi the evn 0t P Vsrcal day
`sores dean ed to concsely presenta hrstorco Iper-
`otcoresponcs'totlredata rtsto'esA raster server
`ssesses tie task atlhand and t e
`
`e
`rghWOli'thichnreenS-l at occur
`a
`enterprse. ‘Jata worelrousrrg rs a set of ac rvrtes
`parces r o t, drstrrbutr g o porton of the ob to each race t at cortarrrs data to
`'
`_ uuxTOIOPlLOHUl Ont sor e rrandnto y trot create, ope ate and evolve i e col-
`pocessec. i e task rs the
`execu ed by all of ti e nodes In Jorclle, and be master se ve
`
`limextretrrelyesctl (ll make Up he clam WCtehouse. — Acrrunr.
`was he result. Oracle cses sha ed disk clustering —- a cesrgn rat 5 structured aros :
`
`
`
`
`prehensive so tiontha r cudesharcware, software, middewa e,
`single rrrge coto store (or example, a disk a ray). Each ode or the cluster lras e"uc
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`ZIPIT EX. 2005, pg. 3
`
`ZIPIT EX. 2005, pg. 3
`
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