{"id":80277,"date":"2020-05-05T01:42:27","date_gmt":"2020-05-04T23:42:27","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/platformy-upravleniya-dannymi-ot-periferii-do-oblaka"},"modified":"2020-05-05T01:42:27","modified_gmt":"2020-05-04T23:42:27","slug":"platformy-upravleniya-dannymi-ot-periferii-do-oblaka","status":"publish","type":"post","link":"https:\/\/prohoster.info\/lv\/blog\/administrirovanie\/platformy-upravleniya-dannymi-ot-periferii-do-oblaka","title":{"rendered":"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>M\u016bsdien\u0101s datiem ir k\u013cuvis par vienu no strat\u0113\u0123iskajiem akt\u012bviem liel\u0101kajai da\u013cai uz\u0146\u0113mumu un organiz\u0101ciju. Papla\u0161inoties anal\u012btikas iesp\u0113j\u0101m, v\u0113rt\u012bba, kas tiek ieg\u016bta no uz\u0146\u0113mumu v\u0101kto un uzkr\u0101to datu, past\u0101v\u012bgi pieaug. Bie\u017ei vien run\u0101 par eksploz\u012bvu, eksponenci\u0101lu \u0123ener\u0113to korporat\u012bvo datu pieaugumu. Tiek nor\u0101d\u012bts, ka 90% no visiem datiem tika rad\u012bti p\u0113d\u0113jo divu gadu laik\u0101.\u00a0<\/p>\n<p><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/ruvds\/blog\/500028\/\"><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/ee44c1b681383bbc96a96e11d62c874f.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Datu apjoma pieaugums ir saist\u012bts ar to v\u0113rt\u012bbas pieaugumu.<\/h2>\n<p>\nDatus rada un izmanto lielo datu anal\u012btikas sist\u0113mas, lietu internets (IoT), m\u0101ksl\u012bgais intelekts un citi. V\u0101ktie dati ir pamats klientu apkalpo\u0161anas kvalit\u0101tes uzlabo\u0161anai, l\u0113mumu pie\u0146em\u0161anai, atbalsta snieg\u0161anai uz\u0146\u0113mumu operat\u012bvaj\u0101 darb\u012bb\u0101, k\u0101 ar\u012b da\u017e\u0101diem p\u0113t\u012bjumiem un att\u012bst\u012bbai.<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/35009715d4c2b71c8c035c48e1e263ec.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>90% no visiem datiem tika rad\u012bti p\u0113d\u0113jo divu gadu laik\u0101.<\/i>\u00a0<\/p>\n<p>Saska\u0146\u0101 ar IDC prognoz\u0113m, datu apjoms, kas tiek glab\u0101ts vis\u0101 pasaul\u0113, no 2018. l\u012bdz 2023. gadam divk\u0101r\u0161osies, un kop\u0113j\u0101 datu glab\u0101tuves ietilp\u012bba sasniegs 11,7 zettabaitus, turkl\u0101t vair\u0101k nek\u0101 tr\u012bs ceturtda\u013cas no kop\u0113j\u0101 apjoma b\u016bs uz\u0146\u0113mumu datu b\u0101zes. Interesanti, ka, ja 2018. gad\u0101 kop\u0113j\u0101 jaud\u0101 nodoto cieto disku (HDD), kas v\u0113l joproj\u0101m ir galvenais inform\u0101cijas nes\u0113js, ietilp\u012bba bija 869 eksabaiti, tad l\u012bdz 2023. gadam \u0161is r\u0101d\u012bt\u0101js var\u0113tu p\u0101rsniegt 2,6 zettabaitus.<\/p>\n<h2>Datu p\u0101rvald\u012bbas platformas: k\u0101d\u0113\u013c t\u0101s ir nepiecie\u0161amas un k\u0101du lomu t\u0101s sp\u0113l\u0113?<\/h2>\n<p>\nNav br\u012bnums, ka jaut\u0101jumi par datu p\u0101rvald\u012bbu k\u013c\u016bst par priorit\u0101riem uz\u0146\u0113mumiem, ties\u0101jot to tie\u0161o ietekmi uz uz\u0146\u0113mumu darb\u012bbu. To risin\u0101\u0161ana da\u017ek\u0101rt prasa p\u0101rvar\u0113t t\u0101das probl\u0113mas k\u0101 sist\u0113mu, datu form\u0101tu, glab\u0101\u0161anas un izmanto\u0161anas meto\u017eu nevienveid\u012bba, pieejas p\u0101rvald\u012b\u0161anai \"zoopark\u0101\" ar risin\u0101jumiem, kas ieviesti da\u017e\u0101dos laikos.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/aa9ec678fe0f1b837fb83698de97f81e.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n\u0160\u0101da neviendab\u012bgas pieejas rezult\u0101ts ir datu mas\u012bvu fragment\u0101cija, kas tiek glab\u0101ta un apstr\u0101d\u0101ta da\u017e\u0101d\u0101s sist\u0113m\u0101s, k\u0101 ar\u012b at\u0161\u0137ir\u012bgas datu kvalit\u0101tes nodro\u0161in\u0101\u0161anas proced\u016bras. \u0160\u012bs tipisk\u0101s probl\u0113mas palielina darba un finan\u0161u izmaksas, str\u0101d\u0101jot ar datiem, piem\u0113ram, statistikas un p\u0101rskatu ieg\u016b\u0161an\u0101 vai l\u0113mumu pie\u0146em\u0161an\u0101.\u00a0<\/p>\n<p>Datu p\u0101rvald\u012bbas biznesa modelim j\u0101b\u016bt piel\u0101gotam, \u0146emot v\u0113r\u0101 uz\u0146\u0113muma vajadz\u012bbas, uzdevumus un m\u0113r\u0137us. Nav vienas automatiz\u0113tas sist\u0113mas vai datu p\u0101rvald\u012bbas platformas, kura atrisin\u0101tu visus uzdevumus. Tom\u0113r m\u016bsdienu visaptvero\u0161\u0101s, elast\u012bg\u0101s un m\u0113rogojam\u0101s datu p\u0101rvald\u012bbas sist\u0113mas bie\u017ei ir univers\u0101las programmat\u016bras risin\u0101jumi datu p\u0101rvald\u012bbai un uzglab\u0101\u0161anai. T\u0101s ietver nepiecie\u0161amos r\u012bkus un pakalpojumus efekt\u012bvai datu p\u0101rvald\u012bbai.\u00a0<\/p>\n<p>Jaun\u0101k\u0101s izstr\u0101des \u013cauj uz\u0146\u0113mumiem p\u0101rdom\u0101t datu p\u0101rvald\u012bbu vis\u0101 organiz\u0101cijas m\u0113rog\u0101, ieg\u016bt skaidru priek\u0161statu par to, k\u0101di dati ir pieejami, k\u0101das ir saist\u012bt\u0101s politikas, kur un cik ilgi dati tiek uzglab\u0101ti, un visbeidzot, t\u0101s sniedz iesp\u0113ju laikus nodro\u0161in\u0101t nepiecie\u0161amo inform\u0101ciju pareizajiem cilv\u0113kiem. \u0160ie risin\u0101jumi papla\u0161ina uz\u0146\u0113mumu iesp\u0113jas un \u013cauj:\u00a0<\/p>\n<ul>\n<li>P\u0101rvald\u012bt failus, objektus, lietojumprogrammu datus, datu b\u0101zes, virtu\u0101lo un m\u0101ko\u0146u vidi, piek\u013c\u016bt da\u017e\u0101du veidu datiem.<\/li>\n<li>Izmantojot or\u0137estr\u0101cijas un automatiz\u0101cijas r\u012bkus, p\u0101rvietot datus uz viet\u0101m, kur to uzglab\u0101\u0161ana ir visefekt\u012bv\u0101k\u0101 \u2014 prim\u0101raj\u0101, sekund\u0101raj\u0101 uzglab\u0101\u0161anas infrastrukt\u016br\u0101, pakalpojumu sniedz\u0113ja datu centr\u0101 vai m\u0101ko\u0146\u0101.<\/li>\n<li>Izmantot visaptvero\u0161as datu aizsardz\u012bbas funkcijas.<\/li>\n<li>Nodro\u0161in\u0101t datu integr\u0101ciju.<\/li>\n<li>Ieg\u016bt operat\u012bv\u0101s anal\u012btikas datus.\u00a0<\/li>\n<\/ul>\n<p>\nDatu p\u0101rvald\u012bbas platforma var tikt veidota uz vair\u0101kiem programmat\u016bras produktiem vai ar\u012b var b\u016bt viena vienota sist\u0113ma. Visaptvero\u0161a platforma nodro\u0161ina vienotu datu p\u0101rvald\u012bbu vis\u0101 IT infrastrukt\u016br\u0101, tostarp to dubl\u0113\u0161anu, atjauno\u0161anu, arhiv\u0113\u0161anu, aparat\u016bras momentuz\u0146\u0113mumu p\u0101rvald\u012bbu un atskai\u0161u sagatavo\u0161anu.<\/p>\n<p>\u0160\u0101da platforma \u013cauj \u012bstenot multi-m\u0101ko\u0146u strat\u0113\u0123iju, papla\u0161in\u0101t datu centru l\u012bdz m\u0101ko\u0146vides risin\u0101jumiem, veikt \u0101tru migr\u0101ciju uz m\u0101ko\u0146u, izmantot aparat\u016bras nomai\u0146as iesp\u0113jas un ieviest visekonomisk\u0101kos datu uzglab\u0101\u0161anas risin\u0101jumus.<\/p>\n<p>Da\u017e\u0101di risin\u0101jumi sp\u0113j autom\u0101tiski arhiv\u0113t datus. Ar m\u0101ksl\u012bg\u0101 intelekta pal\u012bdz\u012bbu tie var atkl\u0101t, ka \"kaut kas nav k\u0101rt\u012bb\u0101\", un autom\u0101tiski veikt korekt\u012bvus pas\u0101kumus vai br\u012bdin\u0101t administratoru, k\u0101 ar\u012b identific\u0113t un nov\u0113rst da\u017e\u0101da veida uzbrukumus. Pakalpojumu automatiz\u0101cija veicina IT oper\u0101ciju optimiz\u0101ciju, \u013cauj atl\u012bdzin\u0101t IT person\u0101lu un minimiz\u0113t cilv\u0113ku faktora k\u013c\u016bdas un d\u012bkst\u0101ves.\u00a0<\/p>\n<p>K\u0101d\u0101m pras\u012bb\u0101m j\u0101atbilst m\u016bsdienu datu p\u0101rvald\u012bbas platformai, un kur t\u0101das risin\u0101jumus praktiski pielieto?<\/p>\n<p>Pieeja \"viena risin\u0101juma visiem\" neizdodas datu p\u0101rvald\u012bbas platform\u0101s. Katras uz\u0146\u0113muma pras\u012bbas attiec\u012bb\u0101 uz datiem ir at\u0161\u0137ir\u012bgas un ir atkar\u012bgas no uz\u0146\u0113m\u0113jdarb\u012bbas veida, darba pieredzes utt. Univers\u0101lai platformai j\u0101nodro\u0161ina piel\u0101go\u0161ana datu apstr\u0101dei konkr\u0113t\u0101 uz\u0146\u0113mum\u0101 un vienlaikus j\u0101b\u016bt neatkar\u012bgai no specifikas attiec\u012bb\u0101 uz nozari un produkta inform\u0101cijas vidi, kas balst\u0101s uz to.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/473555c60cae20f2f9bb129b11b16a23.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Datu p\u0101rvald\u012bbas praktisk\u0101s jomas (avots; CMMI Instit\u016bts).<\/i><\/p>\n<p>\u0160eit ir da\u017eas datu p\u0101rvald\u012bbas platformu praktisk\u0101s lietojumprogrammas:<\/p>\n<p>Komponents<br \/>\nPielietojuma joma<\/p>\n<p>Datu p\u0101rvald\u012bbas strat\u0113\u0123ija<br \/>\nM\u0113r\u0137i un uzdevumi, uz\u0146\u0113muma kult\u016bra datu p\u0101rvald\u012bb\u0101, pras\u012bbu noteik\u0161ana attiec\u012bb\u0101 uz datu dz\u012bves ciklu.<\/p>\n<p>Datu p\u0101rvald\u012bba<br \/>\nDatu un metadatu p\u0101rvald\u012bba<\/p>\n<p>Datu oper\u0101cijas<br \/>\nStandarti un proced\u016bras, str\u0101d\u0101jot ar datu avotiem<\/p>\n<p>Datu kvalit\u0101te<br \/>\nKvalit\u0101tes nodro\u0161in\u0101\u0161ana, datu kvalit\u0101tes ietvars<\/p>\n<p>Platforma un arhitekt\u016bra<br \/>\nArhitekt\u016bras ietvars, platformas un integr\u0101cija\u00a0<\/p>\n<p>Atbalsts procesiem<br \/>\nNov\u0113rt\u0113\u0161ana un anal\u012bze, procesu vad\u012bba, kvalit\u0101tes nodro\u0161in\u0101\u0161ana, risku vad\u012bba, konfigur\u0101cijas vad\u012bba<\/p>\n<p>\nTurkl\u0101t \u0161\u0101das platformas sp\u0113l\u0113 b\u016btisku lomu organiz\u0101cijas transform\u0101cijas proces\u0101 uz \"datu vad\u012btu uz\u0146\u0113mumu\", ko var iedal\u012bt vair\u0101kos posmos:\u00a0<\/p>\n<ol>\n<li>Datu p\u0101rvald\u012bbas izmai\u0146as eso\u0161aj\u0101s sist\u0113m\u0101s, lomu mode\u013ca ievie\u0161ana ar pien\u0101kumu un pilnvaru sadal\u012b\u0161anu. Datu kvalit\u0101tes kontrole, datu krustp\u0101rbaude starp sist\u0113m\u0101m, nepatiesu datu labo\u0161anas.\u00a0<\/li>\n<li>Datu ieg\u016b\u0161anas un apkopo\u0161anas procesu konfigur\u0113\u0161ana, to transform\u0101cija un iel\u0101de. Datu piel\u0101go\u0161ana vienotai sist\u0113mai, neapgr\u016btinot datu kvalit\u0101tes kontroles un biznesa procesu izmai\u0146as.\u00a0<\/li>\n<li>Datu integr\u0101cija. Procesu automatiz\u0101cija, lai pieg\u0101d\u0101tu vajadz\u012bgos datus vajadz\u012bgaj\u0101 viet\u0101 un laikus.\u00a0<\/li>\n<li>Pilnv\u0113rt\u012bgas datu kvalit\u0101tes kontroles ievie\u0161ana. Kvalit\u0101tes kontroles parametru noteik\u0161ana, autom\u0101tisko sist\u0113mu izmanto\u0161anas metodolo\u0123ijas izstr\u0101de.\u00a0<\/li>\n<li>Datu apkopo\u0161anas procesu p\u0101rvald\u012bbas r\u012bku ievie\u0161ana, to verific\u0113\u0161ana, deduplic\u0113\u0161ana un att\u012br\u012b\u0161ana. K\u0101 rezult\u0101t\u0101 - datu kvalit\u0101tes, ticam\u012bbas un vienot\u012bbas pieaugums vis\u0101s uz\u0146\u0113muma sist\u0113m\u0101s.\u00a0<\/li>\n<\/ol>\n<p><\/p>\n<h2>Datu p\u0101rvald\u012bbas platformu priek\u0161roc\u012bbas<\/h2>\n<p>\nUz\u0146\u0113mumi, kas efekt\u012bvi str\u0101d\u0101 ar datiem, parasti g\u016bst liel\u0101ku pan\u0101kumu sal\u012bdzin\u0101jum\u0101 ar konkurentiem, \u0101tr\u0101k izlaida produktus un pakalpojumus tirg\u016b, lab\u0101k izprot m\u0113r\u0137auditorijas vajadz\u012bbas un var \u0101tri rea\u0123\u0113t uz piepras\u012bjuma izmai\u0146\u0101m. Datu p\u0101rvald\u012bbas platformas sniedz iesp\u0113ju \u201eatt\u012br\u012bt\u201d datus, ieg\u016bt kvalitat\u012bvu un atbilsto\u0161u inform\u0101ciju, datu transform\u0101ciju un strat\u0113\u0123isku uz\u0146\u0113muma datu nov\u0113rt\u0113\u0161anu.\u00a0<\/p>\n<p>Univers\u0101las platformas piem\u0113rs uz\u0146\u0113muma datu p\u0101rvald\u012bbas sist\u0113mu izveidei ir krievu \"Unidata\", kas izveidota uz atv\u0113rt\u0101 koda programmat\u016bras b\u0101zes. T\u0101 pied\u0101v\u0101 datu mode\u013cu izveides r\u012bkus un iesp\u0113jas funkcionalit\u0101tes papla\u0161in\u0101\u0161anai, integr\u0113joties da\u017e\u0101d\u0101s IT vid\u0113s un tre\u0161o pu\u0161u inform\u0101cijas sist\u0113m\u0101s: no materi\u0101lo resursu uzskaites l\u012bdz dro\u0161ai lielu apjomu personas datu apstr\u0101dei.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/84c53297142311216c88c4a758a844ef.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Platformas \"Unidata\" arhitekt\u016bra ir t\u0101s pa\u0161a nosaukuma uz\u0146\u0113mumam.<\/i><\/p>\n<p>\u0160\u012b daudzfunkcion\u0101l\u0101 platforma nodro\u0161ina centraliz\u0113tu datu v\u0101k\u0161anu (resursu inventariz\u0101cija un uzskaite), datu standartiz\u0101ciju (normaliz\u0101cija un bag\u0101tin\u0101\u0161ana), pa\u0161reiz\u0113j\u0101s un v\u0113sturisk\u0101s inform\u0101cijas uzskaiti (ieraksta versiju kontrole, datu aktualit\u0101tes periodi), datu kvalit\u0101ti un statistikas veik\u0161anu. Ir paredz\u0113ta t\u0101du uzdevumu automatiz\u0101cija k\u0101 datu v\u0101k\u0161ana, uzkr\u0101\u0161ana, att\u012br\u012b\u0161ana, sal\u012bdzin\u0101\u0161ana, konsolid\u0113\u0161ana, kvalit\u0101tes p\u0101rbaude, datu izplat\u012b\u0161ana, k\u0101 ar\u012b r\u012bki l\u0113mumu pie\u0146em\u0161anas sist\u0113mas automatiz\u0113\u0161anai.\u00a0<\/p>\n<h2>Datu p\u0101rvald\u012bbas platformas (DMP) rekl\u0101m\u0101 un m\u0101rketing\u0101\u00a0<\/h2>\n<p>\nRekl\u0101m\u0101 un m\u0101rketing\u0101 datu p\u0101rvald\u012bbas platformas (DMP) j\u0113dziens ir \u0161aur\u0101ks. T\u0101 ir programmat\u016bras platforma, kas, balstoties uz sav\u0101ktiem datiem, \u013cauj uz\u0146\u0113mumiem identific\u0113t auditorijas segmentos m\u0113r\u0137tiec\u012bgas rekl\u0101mas izveidei konkr\u0113tiem lietot\u0101jiem un rekl\u0101mas kampa\u0146u konteksta p\u0101rvald\u012bbai internet\u0101. \u0160\u0101da programmat\u016bra sp\u0113j sav\u0101kt, apstr\u0101d\u0101t un uzglab\u0101t da\u017e\u0101da veida auditorijas datus, k\u0101 ar\u012b nodro\u0161ina iesp\u0113ju izmantot tos caur ierastajiem mediju kan\u0101liem.<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/dd2326fe6b2aff1ebb605afeeb156ab5.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Saska\u0146\u0101 ar Market Research Future (MRFR) prognozi, glob\u0101lais datu p\u0101rvald\u012bbas platformu tirgus l\u012bdz 2023. gada beig\u0101m var sasniegt 3 miljardus dol\u0101ru ar vid\u0113jo gad\u0101 pieaugumu 15%, bet 2025. gad\u0101 t\u0101 apjoms p\u0101rsniegs 3,5 miljardus dol\u0101ru.<\/i><\/p>\n<p>DMP sist\u0113ma:<\/p>\n<ul>\n<li>Iesp\u0113jot sav\u0101kt un struktur\u0113t visus auditorijas datu tipus; analiz\u0113t eso\u0161os datus; nodot datus jebkur\u0101 mediju telp\u0101, lai izvietotu m\u0113r\u0137tiec\u012bgu rekl\u0101mu.\u00a0<\/li>\n<li>Pal\u012bdz sav\u0101kt, organiz\u0113t un aktiviz\u0113t datus no da\u017e\u0101diem avotiem un p\u0101rveidot tos noder\u012bg\u0101 form\u0101.\u00a0<\/li>\n<li>Organiz\u0113 visus datus kategorij\u0101s, pamatojoties uz biznesa m\u0113r\u0137iem un m\u0101rketinga mode\u013ciem. Sist\u0113ma analiz\u0113 datus un \u0123ener\u0113 auditorijas segmentus, kas prec\u012bzi atspogu\u013co klientu b\u0101zi pla\u0161\u0101 kan\u0101lu diapazon\u0101, balstoties uz da\u017e\u0101d\u0101m kop\u0113j\u0101m \u012bpa\u0161\u012bb\u0101m.<\/li>\n<li>Pied\u0101v\u0101 palielin\u0101t rekl\u0101mas m\u0113r\u0137tiec\u012bguma precizit\u0101ti tie\u0161saist\u0113 un izveidot personaliz\u0113tas komunik\u0101cijas ar atbilsto\u0161o auditoriju. DMP pamat\u0101 ar\u012b var iestat\u012bt mijiedarb\u012bbas \u0137\u0113des ar katru m\u0113r\u0137auditorijas segmentu, lai lietot\u0101ji sa\u0146emtu aktu\u0101lus zi\u0146ojumus pareizaj\u0101 laik\u0101 un viet\u0101.<\/li>\n<\/ul>\n<p>\nDigit\u0101l\u0101 m\u0101rketinga da\u013cas pieaugums iev\u0113rojami ietekm\u0113 datu p\u0101rvald\u012bbas platformu tirgus izaugsmi. DMP sist\u0113mas var \u0101tri vienot datus no da\u017e\u0101diem avotiem un sadal\u012bt lietot\u0101jus vair\u0101k\u0101s kategorij\u0101s, pamatojoties uz vi\u0146u uzved\u012bbas modeli. \u0160\u0101das iesp\u0113jas veicina DMP piepras\u012bjumu starp m\u0101rketinga speci\u0101listiem.\u00a0<\/p>\n<p>Glob\u0101lais datu p\u0101rvald\u012bbas platformu tirgus ir p\u0101rst\u0101v\u0113ts ar vair\u0101k\u0101m vado\u0161\u0101m komp\u0101nij\u0101m, k\u0101 ar\u012b vair\u0101k\u0101m jaun\u0101m, tostarp Lotame Solutions, KBM Group, Rocket Fuel, Krux Digital, Oracle, Neustar, SAS Institute, SAP, Adobe Systems, Cloudera, Turn, Informatica un citiem.<\/p>\n<p>Krievijas risin\u0101jums \u2014 Mail.ru Group izlaists infrastrukt\u016bras produkts, kas ir vienota datu p\u0101rvald\u012bbas un apstr\u0101des platforma (Data Management Platform, DMP). Risin\u0101jums \u013cauj veidot papla\u0161in\u0101tus auditorijas segmentu profilu aprakstus platform\u0101, kas integr\u0113ta ar m\u0101rketinga r\u012bkiem. DMP apvieno Mail.ru Group risin\u0101jumus un pakalpojumus omnikan\u0101l\u0101 m\u0101rketinga jom\u0101 un darb\u0101 ar auditoriju. Klienti var\u0113s glab\u0101t, apstr\u0101d\u0101t un struktur\u0113t savus anonimiz\u0113tos datus, k\u0101 ar\u012b aktiviz\u0113t tos rekl\u0101mas sazi\u0146\u0101, uzlabojot biznesa un m\u0101rketinga efektivit\u0101ti.\u00a0<\/p>\n<h2>Datu p\u0101rvald\u012bba m\u0101ko\u0146u vid\u0113<\/h2>\n<p>\nV\u0113l viena datu p\u0101rvald\u012bbas risin\u0101jumu kategorija ir m\u0101ko\u0146u platformas. It \u012bpa\u0161i m\u016bsdien\u012bga risin\u0101juma izmanto\u0161ana datu aizsardz\u012bbai datu p\u0101rvald\u012bbas ietvaros m\u0101ko\u0146os \u013cauj izvair\u012bties no iesp\u0113jam\u0101m probl\u0113m\u0101m \u2014 no dro\u0161\u012bbas apdraud\u0113jumiem l\u012bdz datu migr\u0101cijas probl\u0113m\u0101m un snieguma samazin\u0101\u0161anai, k\u0101 ar\u012b risin\u0101t uz\u0146\u0113muma digit\u0101l\u0101s transform\u0101cijas izaicin\u0101jumus. Protams, \u0161\u0101du sist\u0113mu funkcijas neaprobe\u017eojas tikai ar datu aizsardz\u012bbu.<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/9a276127b55533ed0f7c173a37465a25.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>M\u0101ko\u0146u datu p\u0101rvald\u012bbas platformas funkcijas Gartner skat\u012bjum\u0101: resursu sadale, automatiz\u0101cija un or\u0137estr\u0101cija; apkalpo\u0161anas piepras\u012bjumu p\u0101rvald\u012bba; augsta l\u012bme\u0146a p\u0101rvald\u012bba un politiku iev\u0113ro\u0161anas kontrole; parametru uzraudz\u012bba un m\u0113ri; atbalsts multi-m\u0101ko\u0146u vid\u0113m; izmaksu optimiz\u0101cija un caurredzam\u012bba; jaudu un resursu optimiz\u0101cija; migr\u0101cija uz m\u0101ko\u0146u un katastrofu notur\u012bbas nodro\u0161in\u0101\u0161ana (DR); pakalpojuma l\u012bme\u0146a vad\u012bba; dro\u0161\u012bba un identifik\u0101cija; konfigur\u0101ciju atjaunin\u0101jumu automatiz\u0101cija.<\/i><\/p>\n<p>Datu p\u0101rvald\u012bbai m\u0101ko\u0146u vid\u0113 j\u0101nodro\u0161ina augsts datu pieejam\u012bbas, kontroles un automatiz\u0101cijas l\u012bmenis datu centros, t\u012bkla perif\u0113rij\u0101 un m\u0101ko\u0146os.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/e1d8ab3f0d128956b4a016f1c0aaf102.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>M\u0101ko\u0146u datu p\u0101rvald\u012bba (Cloud Data Management, CDM) ir platforma, ko izmanto korporat\u012bvo datu p\u0101rvald\u012bbai da\u017e\u0101d\u0101s m\u0101ko\u0146u vid\u0113s, \u0146emot v\u0113r\u0101 priv\u0101t\u0101s, publisk\u0101s, hibr\u012bd\u0101s un multi-m\u0101ko\u0146u pieejas.<\/i><\/p>\n<p>\u0160\u0101da risin\u0101juma piem\u0113rs ir Veeam Cloud Data Management Platform. K\u0101 apgalvo sist\u0113mas izstr\u0101d\u0101t\u0101ji, t\u0101 pal\u012bdz organiz\u0101cij\u0101m main\u012bt pieeju datu p\u0101rvald\u012bbai, nodro\u0161ina intelektu\u0101lu automatiz\u0113tu datu p\u0101rvald\u012bbu un to pieejam\u012bbu jebkur\u0101s lietojumprogramm\u0101s vai m\u0101ko\u0146u infrastrukt\u016br\u0101.<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/1221dcf790a21cc98d740b59d95e0f12.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Veeam m\u0101ko\u0146a datu p\u0101rvald\u012bbu uzskata par neat\u0146emamu intelektu\u0101las datu p\u0101rvald\u012bbas sast\u0101vda\u013cu, kas nodro\u0161ina to pieejam\u012bbu biznesam no jebkuras vietas.\u00a0<\/i><\/p>\n<p>M\u0101ko\u0146u platforma Veeam Cloud Data Management Platform \u013cauj moderniz\u0113t dubl\u0113\u0161anu un atteikties no novecoju\u0161\u0101m sist\u0113m\u0101m, nodro\u0161ina pa\u0101trin\u0101tu hibr\u012bdm\u0101ko\u0146u ievie\u0161anu un datu p\u0101rvieto\u0161anu, datu dro\u0161\u012bbas automatiz\u0101ciju un atbilst\u012bbas normat\u012bvajiem aktiem pras\u012bbu izpildi.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/81eea168bf76e9119921b9ef436a123b.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Veeam Cloud Data Management Platform \u2014 moderna datu p\u0101rvald\u012bbas platforma, kas atbalsta jebkuru m\u0101ko\u0146u.<\/i><\/p>\n<p>K\u0101 redzams, m\u016bsdienu datu p\u0101rvald\u012bbas platformas p\u0101rst\u0101v pietiekami pla\u0161u un daudzveid\u012bgu risin\u0101jumu klasi. Visus t\u0101s apvieno, iesp\u0113jams, viens: orient\u0101cija uz efekt\u012bvu darbu ar uz\u0146\u0113muma datiem un p\u0101rv\u0113r\u0161anu uz\u0146\u0113mumu par m\u016bsdien\u012bgu datu vad\u012btu uz\u0146\u0113mumu (data-driven enterprise).<\/p>\n<p>Datu p\u0101rvald\u012bbas platformas ir nepiecie\u0161ama evol\u016bcija tradicion\u0101lai datu p\u0101rvald\u012bbai. Vair\u0101k un vair\u0101k organiz\u0101ciju p\u0101rvieto datus m\u0101ko\u0146os, un pieaugo\u0161ais da\u017e\u0101do lok\u0101lo un m\u0101ko\u0146u konfigur\u0101ciju skaits rada jaunas probl\u0113mas, kuras j\u0101risina tie\u0161i no datu p\u0101rvald\u012bbas viedok\u013ca. Datu p\u0101rvald\u012bba m\u0101ko\u0146os ir atjaunin\u0101ta pieeja, jauna paradigma, kas papla\u0161ina datu p\u0101rvald\u012bbas funkcijas, lai atbalst\u012btu jaunas platformas, lietojumprogrammas un izmanto\u0161anas scen\u0101rijus.<\/p>\n<p>Turkl\u0101t, saska\u0146\u0101 ar 2019. gada Veeam Cloud Data Management Report, uz\u0146\u0113mumi pl\u0101no dzi\u013c\u0101k integr\u0113t m\u0101ko\u0146u tehnolo\u0123ijas, hibr\u012bdm\u0101ko\u0146a tehnolo\u0123ijas, lielo datu anal\u012btiku, m\u0101ksl\u012bgo intelektu un lietu internetu. Sagaid\u0101ms, ka \u0161o digit\u0101lo iniciat\u012bvu ievie\u0161ana nes\u012bs uz\u0146\u0113mumiem iev\u0113rojamas priek\u0161roc\u012bbas.<\/p>\n<p>Uz\u0146\u0113mumi strauji ievie\u0161 datu platformu tehnolo\u0123ijas un ir gatavi izmantot m\u0101ko\u0146u risin\u0101jumus anal\u012btisko darba slod\u017eu veik\u0161anai, ta\u010du daudzi saskaras ar gr\u016bt\u012bb\u0101m, m\u0113\u0123inot izmantot visus savus datus, lai pan\u0101ktu lab\u0101kus biznesa rezult\u0101tus, uzskata uz\u0146\u0113muma 451 Research anal\u012bti\u0137i. Jaun\u0101k\u0101s datu p\u0101rvald\u012bbas platformas pal\u012bdz\u0113s uz\u0146\u0113mumiem orient\u0113ties sare\u017e\u0123\u012btajos datu apstr\u0101des procesos vair\u0101ku m\u0101ko\u0146u vid\u0113, izmantot datu p\u0101rvald\u012bbas r\u012bkus un veikt to anal\u012bzi neatkar\u012bgi no t\u0101, kur \u0161ie dati atrodas.<\/p>\n<p>T\u0101 k\u0101 m\u0113s cen\u0161amies sekot laikam un \u0146emam v\u0113r\u0101 m\u016bsu klientu (gan eso\u0161o, gan potenci\u0101lo) v\u0113lmes, m\u0113s v\u0113l\u0113tos jaut\u0101t Habr kopienai, vai jums patiktu redz\u0113t Veeam m\u016bsu <noindex><a rel=\"nofollow\" href=\"https:\/\/ruvds.com\/ru-rub\/marketplace\">tirgus vietn\u0113<\/a><\/noindex>? \u041e\u0442\u0432\u0435\u0442\u0438\u0442\u044c \u043c\u043e\u0436\u043d\u043e \u0432 \u043e\u043f\u0440\u043e\u0441\u0435 \u043d\u0438\u0436\u0435.<\/p>\n<p><noindex><a rel=\"nofollow\" href=\"http:\/\/ruvds.com\/ru-rub\/?utm_source=habr&amp;utm_medium=article&amp;utm_campaign=caplin&amp;utm_content=platformyupravleniyadannymi#order\"><img decoding=\"async\" alt=\"Datu p\u0101rvald\u012bbas platformas: no perif\u0113rijas l\u012bdz m\u0101konim\" src=\"\/wp-content\/uploads\/2020\/05\/5e34710a887156a3f19f4d4c551bff6f.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/p>\n<p class=\"for_users_only_msg\">Tikai re\u0123istr\u0113tie lietot\u0101ji var piedal\u012bties aptauj\u0101. <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/auth\/login\/\">Pieteikties<\/a><\/noindex>, l\u016bdzu.<\/p>\n<h2 class=\"default-block__polling-title\">Veeam pakotnes pied\u0101v\u0101jums tirgus vietn\u0113<\/h2>\n<ul class=\"poll-result\">\n<li class=\"poll-result__item\">\n<p>                <strong class=\"poll-result__data-percent  poll-result__data-percent_winner\">62,5%<\/strong>J\u0101, laba ideja5<\/p>\n<\/li>\n<li class=\"poll-result__item\">\n<p>                <strong class=\"poll-result__data-percent\">37,5%<\/strong>Dom\u0101ju, ka neizdosies3<\/p>\n<\/li>\n<\/ul>\n<p>    Nobalsoja 8 lietot\u0101ji. Attur\u0113j\u0101s 4 lietot\u0101ji.<br \/>\n<br \/>Avots: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/ruvds\/blog\/500028\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u0434\u043b\u044f \u0431\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u0430 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0439 \u0438 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u0439 \u0434\u0430\u043d\u043d\u044b\u0435 \u2013 \u044d\u0442\u043e \u043e\u0434\u0438\u043d \u0438\u0437 \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0430\u043a\u0442\u0438\u0432\u043e\u0432. \u0418 \u0441 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u0435\u043c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0435\u0439 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0438, \u0446\u0435\u043d\u043d\u043e\u0441\u0442\u044c \u0441\u043e\u0431\u0438\u0440\u0430\u0435\u043c\u044b\u0445 \u0438 \u043d\u0430\u043a\u0430\u043f\u043b\u0438\u0432\u0430\u0435\u043c\u044b\u0445 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043f\u043e\u0441\u0442\u043e\u044f\u043d\u043d\u043e \u0443\u0432\u0435\u043b\u0438\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f. \u041f\u0440\u0438 \u044d\u0442\u043e\u043c \u0447\u0430\u0441\u0442\u043e \u0433\u043e\u0432\u043e\u0440\u044f\u0442 \u043e \u0432\u0437\u0440\u044b\u0432\u043d\u043e\u043c, \u044d\u043a\u0441\u043f\u043e\u043d\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u043e\u043c \u0440\u043e\u0441\u0442\u0435 \u043e\u0431\u044a\u0435\u043c\u043e\u0432 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u043c\u044b\u0445 \u043a\u043e\u0440\u043f\u043e\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445. \u041e\u0442\u043c\u0435\u0447\u0430\u0435\u0442\u0441\u044f, \u0447\u0442\u043e 90% \u0432\u0441\u0435\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 \u0431\u044b\u043b\u0438 \u0441\u043e\u0437\u0434\u0430\u043d\u044b \u0437\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0438\u0435 \u0434\u0432\u0430 \u0433\u043e\u0434\u0430.\u00a0 \u0420\u043e\u0441\u0442 \u043e\u0431\u044a\u0435\u043c\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445 \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0430\u0435\u0442\u0441\u044f \u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u0435\u043c \u0438\u0445 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":80278,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-80277","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.5 - 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