Chii chinonzi Data Orchestration, matambudziko muData Analysis

Dhata Orchestration inzira yekufambisa siled data kubva munzvimbo dzakawanda dzekuchengetera kuenda kune yepakati repository uko inogona kusanganiswa, kucheneswa, uye kupfumiswa kuti ishandiswe (semuenzaniso, kushuma).

Kurongeka kwedata kunobatsira otomatiki kuyerera kwedata pakati pezvishandiso uye masisitimu kuona kuti masangano ari kushanda neruzivo rwakakwana, rwakakwana, uye rwechizvino-zvino.

Inofungidzirwa nguva yekuverenga: 7 minuti

Iyo 3 nhanho yeData Orchestration

1. Ronga data kubva kwakasiyana zvinyorwa

Kana paine data rinouya kubva kwakasiyana masosi, ingave iri CRM, social media feed kana maitiro echiitiko data. Uye iyi data inogona kunge yakachengetwa mumaturusi akasiyana siyana uye masisitimu pane ese tekinoroji stack (senge legacy system, cloud-based tools, uye deta rekuchengeta o lake).

Nhanho yekutanga mukuronga data ndeyekuunganidza uye kuronga data kubva kune ese akasiyana masosi uye kuona kuti yakarongedzerwa nemazvo kune kwainoda kuenda. Izvo zvinotisvitsa ku: shanduko.

2. Shandura data rako kuti uongorore zviri nani

Iyo data inowanikwa mune akati wandei mafomati. Inogona kunge yakarongeka, isina kurongeka, kana semi-yakarongeka, kana chiitiko chimwe chete chinogona kunge chine gungano rezita rakasiyana pakati pezvikwata zviviri zvemukati. Semuenzaniso, imwe system inogona kuunganidza nekuchengeta zuva saKubvumbi 21, 2022, uye imwe inogona kuichengeta mufomati yenhamba, 20220421.

Kuti anzwisise zvese izvi data, makambani anowanzo kufanira kuishandura kuita yakajairwa fomati. Kurongeka kwedata kunogona kubatsira kudzikisira mutoro wekuyananisa nemaoko data rese uye kushandisa shanduko zvichienderana nesangano rako rekutonga data uye chirongwa chekutarisa.

3. Kuita kwedata

Chikamu chakakosha che data orchestration kuita kuti data iwanikwe kuti ishandiswe. Izvi zvinoitika kana data rakachena, rakabatanidzwa richitumirwa kune maturusi epasi kuti ashandiswe nekukurumidza (semuenzaniso, kugadzira vateereri vemushandirapamwe kana kuvandudza dhibhodhi reungwaru hwebhizinesi).

Sei Data Orchestration

Dhata orchestration ndiko kukonzeresa kweiyo siled data uye zvakakamurwa masisitimu. Alluxio anotenda iyo tekinoroji yedata inochinja zvikuru makore ese 3-8. Izvi zvinoreva kuti kambani yemakore makumi maviri nerimwe inogona kunge yakapfuura ne21 dzakasiyana masisitimu ekugadzirisa data kubva pakuvambwa.

Dhata orchestration inokubatsirawo kutevedzera mitemo yekuvanzika kwedata, kubvisa mabhodhoro edata, uye kumanikidza kutonga kwedata - zvitatu chete (pakati pezvizhinji) zvikonzero zvakanaka zvekuzviita.

1. Kutevedzera mitemo yekuvanzika kwedata

Mitemo yekuvanzika kwedata, senge GDPR neCCPA, ine nhungamiro yakasimba yekuunganidza, kushandisa uye kuchengetedza. Chikamu chekuteerera kupa vatengi sarudzo yekubuda mukuunganidza data kana kukumbira kuti kambani yako ibvise data ravo rese. Kana iwe usina mubato wakanaka wepanochengeterwa data rako uye kuti ndiani anoriwana, zvingave zvakaoma kuzadzisa ichi chinodikanwa.

Kubva pakaitwa GDPR, taona mamirioni ezvikumbiro zvekudzima. Izvo zvakakosha kuve nekunzwisisa kwakasimba kwese kutenderera kwehupenyu hwe dati kuona kuti hapana chinopunyuka.

2. Kubvisa data bottlenecks

Bottlenecks idambudziko ririkuenderera pasina Dhata Orchestration. Ngatiti iwe uri kambani ine akawanda ekuchengetedza masisitimu aunoda kubvunza kuti uwane ruzivo. Munhu ane chekuita nekubvunza masisitimu aya anogona kunge aine zvikumbiro zvakawanda zvekusefa, zvichireva kuti panogona kunonoka pakati pezvikwata. zvavanoda yedata nevaya varipo vanogamuchira zvinobudirira, izvo zvinogona kuita kuti ruzivo ruve basa.

Munzvimbo yakanyatsorongeka, rudzi urwu rwekutanga-uye-kumira rwaizobviswa. Yako data ichatoendeswa kune yakadzika maturusi ekuita activation (uye iyo data ichave yakamisikidzwa, zvichireva kuti iwe unogona kuve nechivimbo mumhando yayo).

3. Shandisa hutongi hwemashoko

Kutonga kwedata kwakaoma kana data ichigoverwa kune akawanda masisitimu. Makambani haana maonero akazara ehupenyu hwe data uye kusava nechokwadi nezve data rakachengetwa (semuenzaniso njiva) inogadzira zvinokanganisa, sekutadza kuchengetedza zvakaringana ruzivo rwemunhu.

Data Orchestration inobatsira kugadzirisa dambudziko iri nekupa kujeka kwakanyanya mumabatirwo anoitwa data. Izvi zvinobvumira makambani kuvharisa data risiri iro risati rasvika kudhatabhesi kana kukanganisa kushuma uye kuseta mvumo yekuwana data.

Zvinetso zvakajairika neData Orchestration

Pane akati wandei matambudziko anogona kumuka kana uchiedza kuita Data Orchestration. Heano anonyanya kuzivikanwa uye maitiro ekuadzivisa.

Data silos

Data silos inowanzoitika, kana isingakuvadzi, kuitika pakati pemabhizinesi. Sezvo matekinoroji anoshanduka uye zvikwata zvakasiyana zvine akasiyana maficha echiitiko chevatengi, zviri nyore kuti data rive siled pamaturusi akasiyana uye masisitimu. Asi mhedzisiro yekusanzwisisa kwakakwana kwekuita kwekambani, kubva munzvimbo dzemapofu murwendo rwevatengi kusavimba mukurongeka kweanalytics uye kushuma.

Mabhizinesi anogara aine data inoyerera kubva kune akawanda touchpoints kune akasiyana maturusi akasiyana. Asi kuputsa silos kwakakosha kana makambani aya achida kuwana kukosha kubva kune yavo data.

Emerging trends ina Data Orchestration

Mumakore achangopfuura, mamwe maitiro akabuda maererano nemabatiro anoita makambani kuyerera uye activation yedata ravo. Muenzaniso weizvi ndeyechokwadi-nguva yekugadzirisa data, iyo iyo data inogadziriswa mukati memiliseconds yechizvarwa. Iyo chaiyo-nguva data yave yakakosha kune ese maindasitiri, ichiita basa rakakosha mukatiIoT (semuenzaniso, ma sensors epadhuze mumotokari), hutano, manejimendi ekutengesa, kuona hutsotsi, uye pedyo-pakarepo kusarudzika. Kunyanya nekufambira mberi mukudzidza kwemichina uye hungwaru hwekugadzira, data-chaiyo-nguva inobvumira algorithms uye.kungwara kwekunyepedzera kudzidza nekukurumidza.

Imwe maitiro anga ari shanduko kune matekinoroji akavakirwa pa gore. Nepo mamwe makambani akatamira zvachose gore, vamwe vanogona kuramba vaine musanganiswa we-on-premise systems uye cloud-based solutions.

Zvadaro, pane shanduko yekuti software yakavakwa sei uye yakaiswa, izvo zvinokanganisa maitirwo e data orchestration. 

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• Chii chinonzi Cloud Computing uye chii chinonzi Edge Computing: defitsananguro nemisiyano
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