Masiku ano, makampani ndi mabungwe ambiri, deta ndi imodzi mwazinthu zofunikira kwambiri. Ndipo ndi kuwonjezereka kwa luso la analytics, mtengo wa deta yomwe yasonkhanitsidwa ndikusonkhanitsidwa ndi makampani ikuwonjezeka nthawi zonse. Panthawi imodzimodziyo, nthawi zambiri amalankhula za kuphulika, kukula kwakukulu kwa kuchuluka kwa deta yopangidwa ndi makampani. Zimadziwika kuti 90% ya data yonse idapangidwa zaka ziwiri zapitazi.
Kukula kwa voliyumu ya data kumayendera limodzi ndi kuwonjezeka kwa mtengo wawo
Deta imapangidwa ndikugwiritsidwa ntchito ndi makina akuluakulu osanthula deta, intaneti ya Zinthu (IoT), luntha lochita kupanga, ndi zina zambiri. Deta yomwe yasonkhanitsidwa ndiyo maziko opititsa patsogolo ntchito zamakasitomala, kupanga zisankho, kuthandizira magwiridwe antchito amakampani, komanso kafukufuku ndi chitukuko zosiyanasiyana.
90% ya data yonse idapangidwa zaka ziwiri zapitazi.
IDC ikuneneratu kuti kuchuluka kwa deta yomwe yasungidwa padziko lonse lapansi idzawirikiza kawiri kuyambira chaka cha 2018 mpaka 2023, pomwe mphamvu yosungiramo data ifika pa 11,7 zettabytes, pomwe mabizinesi amawerengera opitilira magawo atatu mwa magawo atatu aliwonse. Ndizodziwika kuti ngati m'chaka cha 2018 kuchuluka kwa ma drive omwe adaperekedwa (HDD), omwe akadalibe sing'anga yayikulu yosungiramo, anali 869 exabytes, ndiye pofika 2023 chiwerengerochi chikhoza kupitirira 2,6 zettabytes.
Mapulatifomu oyang'anira deta: ndi chiyani ndipo amagwira ntchito yanji?
N'zosadabwitsa kuti nkhani zoyendetsera deta zikukhala zofunika kwambiri kwa mabizinesi, zomwe zimakhudza mwachindunji ntchito zawo. Kuti muwathetse, nthawi zina pamafunika kuthana ndi zovuta monga kusiyanasiyana kwa machitidwe, mawonekedwe a data, njira zosungira ndi kuzigwiritsa ntchito, njira zowongolera mu "zoo" zothetsera zomwe zidakhazikitsidwa nthawi zosiyanasiyana.
Chotsatira cha njira yosagwirizanayi ndi kugawikana kwa ma data omwe amasungidwa ndi kukonzedwa m'machitidwe osiyanasiyana, ndi njira zosiyanasiyana zowonetsetsa kuti deta ili yabwino. Mavuto awa amawonjezera mtengo wantchito ndi ndalama mukamagwira ntchito ndi data, mwachitsanzo, popeza ziwerengero ndi malipoti kapena popanga zisankho zoyang'anira.
Njira yamabizinesi oyendetsera deta iyenera kusinthidwa makonda, kusinthidwa malinga ndi zosowa, ntchito ndi zolinga zabizinesi. Palibe njira imodzi yokha kapena nsanja yoyendetsera deta yomwe ingagwire ntchito zonse. Komabe, machitidwe amakono, osinthika komanso osinthika a data nthawi zambiri amapereka mapulogalamu amtundu uliwonse wa data ndi kusungirako. Zimaphatikizapo zida zofunika ndi ntchito zothandizira deta yogwira mtima.
Zomwe zachitika posachedwa zikulola mabizinesi kuti aganizirenso kasamalidwe ka data m'bungwe lonse, kumvetsetsa bwino zomwe zilipo, ndi mfundo ziti zomwe zikugwirizana nazo, komwe deta imasungidwa komanso nthawi yayitali bwanji, ndipo pomaliza pake, akupereka kuthekera kopereka. chidziwitso choyenera kwa anthu oyenera munthawi yake. Izi ndi mayankho omwe amakulitsa luso la mabizinesi ndikulola:
- Konzani mafayilo, zinthu, data ya pulogalamu, nkhokwe, data yochokera kumawonekedwe amtambo, ndikupeza mitundu yosiyanasiyana ya data.
- Pogwiritsa ntchito zida za orchestration ndi automation, sunthani deta komwe imasungidwa bwino kwambiri - kupita ku pulayimale, yachiwiri yosungirako zosungirako, kumalo osungirako deta kapena kumtambo.
- Gwiritsani ntchito mbali zonse zoteteza deta.
- Onetsetsani kuphatikiza deta.
- Pezani ma analytics ogwirira ntchito kuchokera ku data.
Dongosolo loyang'anira deta likhoza kumangidwa pamaziko a mapulogalamu angapo a mapulogalamu kapena kukhala dongosolo limodzi logwirizana. Pulatifomu yathunthu imapereka kasamalidwe kogwirizana kwa data muzokhazikika zonse za IT, kuphatikiza zosunga zobwezeretsera, kubwezeretsa, kusungitsa zakale, kasamalidwe kachidule ka hardware ndi malipoti.
Pulatifomu yotereyi imakulolani kuti mugwiritse ntchito njira yamitundu yambiri, kukulitsa malo osungiramo deta kumalo amtambo, kusuntha mofulumira kupita kumtambo, kugwiritsa ntchito mwayi wokhoza kusintha zipangizo ndikugwiritsa ntchito njira zosungiramo zosungirako zotsika mtengo kwambiri.
Ena zothetsera amatha basi archive deta. Ndipo mothandizidwa ndi luntha lochita kupanga, amatha kuzindikira kuti "chinachake chalakwika" ndikuchitapo kanthu kukonza kapena kudziwitsa woyang'anira, komanso kuzindikira ndikuyimitsa mitundu yosiyanasiyana ya kuukira. Kukonzekera kwa mautumiki kumathandiza kukhathamiritsa ntchito za IT, kumasula ogwira ntchito pa IT, kuchepetsa zolakwika chifukwa cha anthu, ndikuchepetsa nthawi yopuma.
Ndi mikhalidwe yanji yomwe nsanja yamakono yoyendetsera deta iyenera kukhala nayo, ndipo mayankho otere amagwiritsidwa ntchito pati?
Njira yamtundu umodzi sigwira ntchito ndi nsanja zowongolera deta. Kampani iliyonse ili ndi zofunikira zake za deta, zimadalira mtundu wa bizinesi, zochitika za ntchito, ndi zina zotero. Pulatifomu yapadziko lonse iyenera, kumbali imodzi, kupereka masinthidwe ogwirira ntchito ndi deta pabizinesi inayake, ndipo inayo, kukhala yodziimira pawokha. zenizeni zamakampani omwe amagwiritsidwa ntchito, kuchuluka kwa kagwiritsidwe ntchito ka chinthu chomangidwa pamaziko ake komanso malo ake azidziwitso.
Madera othandiza pakuwongolera deta (gwero; CMMI Institute).
Nawa mapulogalamu othandiza pamapulatifomu kasamalidwe ka data:
Chothandizira
Chiwerengero cha ntchito
Njira Yoyendetsera Data
Zolinga ndi zolinga za kasamalidwe, chikhalidwe chamakampani cha kasamalidwe ka deta, kutsimikiza kwa zofunikira pa moyo wa deta.
Kusamalira deta
Kuwongolera kwa data ndi metadata
Ntchito za Data
Miyezo ndi njira zogwirira ntchito ndi magwero a data
Ubwino wa data
Chitsimikizo cha Ubwino, Chikhazikitso cha Ubwino wa Data
Platform ndi zomangamanga
Zomangamanga, nsanja ndi kuphatikiza
Njira zothandizira
Kuwunika ndi kusanthula, kasamalidwe ka ndondomeko, chitsimikizo cha khalidwe, kasamalidwe ka chiopsezo, kasamalidwe kachitidwe
Kuphatikiza apo, nsanja zotere zimagwira ntchito yofunika kwambiri posintha bungwe kukhala bizinesi "yoyendetsedwa ndi data", yomwe imatha kugawidwa m'magawo angapo:
- Kusintha kasamalidwe ka deta mu machitidwe omwe alipo kale, kuyambitsa chitsanzo ndi kulekanitsa maudindo ndi mphamvu. Kuwongolera khalidwe la deta, kufufuza deta pakati pa machitidwe, kukonza deta yosavomerezeka.
- Kukhazikitsa njira zopezera ndi kusonkhanitsa deta, kuzisintha ndi kuziyika. Kubweretsa deta mudongosolo logwirizana popanda kusokoneza kuwongolera kwamtundu wa data ndikusintha njira zamabizinesi.
- Kuphatikiza kwa data. Sinthani njira zoperekera deta yoyenera pamalo oyenera komanso panthawi yoyenera.
- Kuyambitsa kuwongolera kwamtundu wa data. Kutsimikiza kwa magawo owongolera, kukulitsa njira zogwiritsira ntchito makina odziwikiratu.
- Kukhazikitsa zida zowongolera njira zosonkhanitsira deta, kutsimikizira, kuchotsera ndi kuyeretsa. Zotsatira zake, pali kuwonjezeka kwa khalidwe, kudalirika ndi kugwirizanitsa deta kuchokera ku machitidwe onse abizinesi.
Ubwino wa Data Management Platforms
Makampani omwe amagwira ntchito bwino ndi deta amakhala opambana kuposa ochita nawo mpikisano, amabweretsa katundu ndi ntchito kuti agulitse mofulumira, kumvetsetsa bwino zosowa za omvera awo, ndipo amatha kuyankha mwamsanga kusintha kwa zofuna. Mapulatifomu oyang'anira deta amapereka kuthekera koyeretsa deta, kupeza zidziwitso zabwino komanso zofunikira, kusintha deta, ndikuwunika mwanzeru deta yamabizinesi.
Chitsanzo cha nsanja yapadziko lonse yomanga machitidwe oyendetsera deta yamakampani ndi Russian Unidata, yopangidwa pamaziko a pulogalamu yotseguka. Amapereka zida zopangira mtundu wa data ndi njira zowonjezerera magwiridwe antchito pophatikiza magawo osiyanasiyana a IT ndi machitidwe azidziwitso a chipani chachitatu: kuyambira pakusunga zinthu zakuthupi ndiukadaulo mpaka kukonza motetezeka zambiri zamunthu.
Zomangamanga za nsanja ya Unidata ya kampani ya dzina lomwelo.
Izi multifunctional nsanja amapereka centralized deta zosonkhanitsira (kufufuza ndi chuma accounting), muyezo wa chidziwitso (normalization ndi kulemeretsa), mlandu wa panopa ndi mbiri zambiri (mbiri Baibulo kulamulira, nthawi kufunika deta), khalidwe deta ndi ziwerengero. Kukonzekera kwa ntchito monga kusonkhanitsa, kusonkhanitsa, kuyeretsa, kufananitsa, kugwirizanitsa, kulamulira khalidwe, kugawa deta, komanso zipangizo zopangira zisankho zimaperekedwa.
Ma Platforms a Data Management (DPM) mu Kutsatsa ndi Kutsatsa
Potsatsa ndi kutsatsa, lingaliro la nsanja yoyendetsera data DMP (Data Management Platform) ili ndi tanthauzo locheperako. Ndi pulogalamu yamapulogalamu yomwe, kutengera zomwe zasonkhanitsidwa, imalola makampani kufotokozera zigawo za omvera kuti azitha kutsatsa kwa ogwiritsa ntchito ena komanso zomwe zikuchitika pamakampeni otsatsa pa intaneti. Mapulogalamu otere amatha kusonkhanitsa, kukonza ndi kusunga mtundu uliwonse wa deta ya m'kalasi, komanso amatha kuzigwiritsa ntchito kudzera mumayendedwe odziwika bwino.
Malinga ndi Market Research future (MRFR), msika wapadziko lonse lapansi wowongolera deta (DMP) utha kufikira $ 2023 biliyoni pakutha kwa 3 ndi CAGR ya 15%, ndipo upitilira $ 2025 biliyoni mu 3,5.
Dongosolo la DMP:
- Imathandizira kusonkhanitsa ndi kukonza mitundu yonse ya data ya m'kalasi; santhula zomwe zilipo; kusamutsa deta ku malo aliwonse atolankhani kuika malonda chandamale.
- Imathandiza kusonkhanitsa, kukonza ndi kuyambitsa deta kuchokera kumalo osiyanasiyana ndikumasulira kuti ikhale yothandiza.
- Amakonza deta yonse m'magulu kutengera zolinga zamabizinesi ndi njira zamalonda. Dongosolo limasanthula deta ndikupanga zigawo za omvera zomwe zimayimira makasitomala molondola pamakanema osiyanasiyana potengera mikhalidwe yofananira.
- Imakulolani kuti muwonjezere kulondola kwa kutsatsa kwapaintaneti ndikupanga kulumikizana kwa makonda ndi omvera oyenera. Kutengera ndi DMP, muthanso kukhazikitsa maunyolo olumikizirana ndi gawo lililonse lomwe mukufuna kuti ogwiritsa ntchito alandire mauthenga oyenera panthawi yoyenera komanso pamalo oyenera.
Kuwonjezeka kwa gawo la malonda a digito kumalimbikitsa kwambiri kukula kwa msika wamapulatifomu kasamalidwe ka data. Makina a DMP amatha kugwirizanitsa mwachangu deta kuchokera kuzinthu zosiyanasiyana ndikuyika ogwiritsa ntchito m'magulu potengera machitidwe awo. Kuthekera kotereku kukukulitsa kufunikira kwa ma DMP pakati pa ogulitsa.
Msika wapadziko lonse lapansi wowongolera deta ukuimiridwa ndi osewera otsogola, komanso makampani angapo atsopano, kuphatikiza Lotame Solutions, KBM Gulu, Rocket Fuel, Krux Digital), Oracle, Neustar, SAS Institute, SAP, Adobe Systems, Cloudera, Turn, Informatica ndi etc.
Chitsanzo cha yankho la ku Russia ndi chinthu cha zomangamanga chomwe chinatulutsidwa ndi Mail.ru Group, yomwe ndi malo ogwirizana oyendetsera deta ndi kukonza (Data Management Platform, DMP). Yankho lake limakupatsani mwayi wopanga kufotokozera kowonjezereka kwa magawo a omvera mkati mwa nsanja yophatikizidwa ndi zida zotsatsa. DMP imaphatikiza mayankho ndi ntchito za Gulu la Mail.ru pankhani ya malonda a omnichannel ndikugwira ntchito ndi omvera. Makasitomala azitha kusunga, kukonza ndikukhazikitsa deta yawo yosadziwika, komanso kuyiyambitsa pazolumikizana zotsatsa, kukulitsa bizinesi ndi malonda.
Cloud Data Management
Gulu lina la njira zoyendetsera deta ndi nsanja zamtambo. Makamaka, kugwiritsa ntchito njira yamakono yotetezera deta monga gawo la kayendetsedwe ka deta yamtambo kumakupatsani mwayi wopewa mavuto omwe angakhalepo - kuchokera ku zoopsa za chitetezo kupita ku zovuta zakusamuka kwa deta ndi kuchepetsa zokolola, komanso kuthetsa mavuto a kusintha kwa digito komwe kampani ikukumana nayo. Zoonadi, ntchito zamakina otere sizimangokhala pachitetezo cha data.
Gartner Cloud Data Management Platform Mbali: Kugawa Zothandizira, Zochita, ndi Orchestration; kasamalidwe ka pempho lautumiki; utsogoleri wapamwamba ndi kuyang'anira kutsata ndondomeko; kuyang'anira ndi kuyeza kwa magawo; kuthandizira malo okhala ndi mitambo yambiri; kukhathamiritsa mtengo ndi kuwonekera; kukhathamiritsa kwa luso ndi chuma; kusamuka kwa mitambo ndi kupirira masoka (DR); kasamalidwe ka utumiki; chitetezo ndi chizindikiritso; automation ya zosintha kasinthidwe.
Kuwongolera deta mumtambo wamtambo kuyenera kuwonetsetsa kuchuluka kwa kupezeka kwa data, kuwongolera, ndi kuwongolera kasamalidwe ka data m'malo opangira ma data, mozungulira ma netiweki komanso mumtambo.
Cloud Data Management (CDM) ndi nsanja yomwe imagwiritsidwa ntchito kuyang'anira deta yamabizinesi m'malo osiyanasiyana amtambo, potengera njira zachinsinsi, zapagulu, zosakanizidwa komanso zamitundu yambiri.
Chitsanzo cha yankho lotere ndi Veeam Cloud Data Management Platform. Malinga ndi omwe akupanga machitidwewa, zimathandiza mabungwe kusintha njira yoyendetsera deta, amapereka nzeru, makina oyendetsa deta komanso kupezeka kwake muzogwiritsira ntchito zilizonse kapena mtambo.
Veeam imawona kasamalidwe ka data pamtambo ngati gawo lofunikira pakuwongolera deta mwanzeru, kuwonetsetsa kuti mabizinesi azitha kupezeka kulikonse.
Veeam Cloud Data Management Platform imasintha zosunga zobwezeretsera ndikuchotsa machitidwe olowa, imathandizira kutengera mitambo yosakanizidwa ndi kusamuka kwa data, ndikuyendetsa chitetezo ndi kutsata deta.
Veeam Cloud Data Management Platform ndi "pulatifomu yamakono yosamalira deta yomwe imathandizira mtambo uliwonse."
Monga mukuwonera, nsanja zamakono zowongolera deta zikuyimira njira zotakata komanso zosiyanasiyana. Mwina ali ndi chinthu chimodzi chofanana: kuyang'ana pakugwira ntchito moyenera ndi data yamakampani ndikusintha kampani kapena bungwe kukhala bizinesi yamakono yoyendetsedwa ndi data.
Mapulatifomu kasamalidwe ka data ndikusintha kofunikira kwa kasamalidwe kazinthu zachikhalidwe. Pamene mabungwe ochulukirapo amasuntha deta kumtambo, chiwerengero chowonjezeka cha zosiyana pa malo ndi makonzedwe a mtambo akupanga zovuta zatsopano zomwe ziyenera kuyang'aniridwa makamaka kuchokera ku kayendetsedwe ka deta. Kasamalidwe ka deta mumtambo ndi njira yotsitsimutsidwa, paradigm yatsopano yomwe imakulitsa luso la kasamalidwe ka deta kuti lithandizire nsanja zatsopano, mapulogalamu ndi zochitika zogwiritsira ntchito.
Kuphatikiza apo, malinga ndi Veeam Cloud Data Management Report ya 2019, makampani akukonzekera kuphatikiza kwambiri matekinoloje amtambo, matekinoloje amtambo wosakanizidwa, kusanthula kwakukulu kwa data, luntha lochita kupanga komanso intaneti yazinthu. Kukhazikitsidwa kwa njira zama digito izi kukuyembekezeka kubweretsa phindu lalikulu kumakampani.
Mabizinesi akufulumizitsa kukhazikitsidwa kwa matekinoloje amtundu wa data ndipo ali okonzeka kugwiritsa ntchito mtambo kuti ayendetse ntchito zowunikira, koma ambiri akukumana ndi zovuta kugwiritsa ntchito deta yawo yonse kuti akwaniritse zotsatira zabwino zamabizinesi, malinga ndi akatswiri pa 451 Research. Mapulatifomu aposachedwa kwambiri atha kuthandizira mabizinesi kuyang'ana zovuta zogwirira ntchito m'mitambo yambiri, kuyang'anira deta, ndikuchita ma analytics mosasamala kanthu komwe deta imakhala.
Popeza timayesetsa kuyenderana ndi nthawi ndikuyang'ana zofuna za makasitomala athu (zatsopano komanso zomwe angathe), tikufuna kufunsa gulu la habra ngati mungafune kuwona Veeam m'nkhani yathu. ? Mutha kuyankha mufukufuku ili pansipa.
Ogwiritsa ntchito olembetsedwa okha ndi omwe angatenge nawo gawo pa kafukufukuyu. chonde.
Phukusi lopereka ndi Veeam pamsika
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62,5%Inde, lingaliro labwino5
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37,5%Sindikuganiza kuti inyamuka 3
Ogwiritsa ntchito 8 adavota. Ogwiritsa 4 adakana.
Source: www.habr.com