ziviso
SaMukuru Tekinoroji Officer (CTO), ini ndinogara ndichitsvaga ari kusimukira matekinoroji ayo shandura nzira yatinoita nayo analytics. Imwe tekinoroji yakadai yakabata pfungwa dzangu mumakore mashoma apfuura uye ine vimbiso huru ndeye Analytics Catalog. Ichi chekucheka-kumucheto chishandiso chinogona kusabata zvakananga kana kubata data masosi, asi maitiro ayo anogona kuita paanalytics ecosystem haagone kushomeka. Mune ino blog post, ini ndichaongorora kuti nei maAnalytics Catalogs ari kuwedzera kukosha munharaunda ye data analytics uye maitiro avanogona kushandura maitiro esangano redu pakuita sarudzo inotungamirwa nedata.
Kusimuka kweAnalytics Catalogs
Kuwedzera kwedata muzuva ranhasi digital nyika inoshamisa. Masangano ari kuunganidza huwandu hwakakura hwe data kubva kwakasiyana masosi, zvichikonzera kuputika mukuoma kwe data uye kusiyana. Uku kufashama kwedata kunopa zvese mukana uye dambudziko kumasangano anofambiswa nedata. Kuti utore nzwisiso dzakakosha zvine mutsindo, zvakakosha kuve neasina musono analytics mafambiro ayo anogonesa nyanzvi dzedata kuwana, kuwana, uye kubatana paanalytics assets zviri nyore. Apa ndipo panopinda Analytics Catalog.
Kunzwisisa Analytics Catalogs
An Analytics Catalog ipuratifomu yakasarudzika yakagadzirirwa kutonga uye kuronga zvinhu zvine chekuita neanalytics, senge mishumo, dashboards, nyaya… Kusiyana neyakajairwa data catalogs inotarisa pakubata mbishi data assets, iyo Analytics Catalog inogara pane yekuongorora layer yeBusiness Intelligence stack. Inoshanda senzvimbo yepakati repository yeruzivo, ichiita kuti ive ine simba ruzivo hubhu kune yese analytics timu uye yekupedzisira vatengi. Mumwe mutambi akadaro munzvimbo ino Digital Hive izvo Motio yakabatsira kuumbwa mumazuva ayo ekutanga.
Kukosha kweAnalytics Catalogs
1. **Kushandirapamwe Kwakawedzerwa uye Kugovana Ruzivo **: Musangano rinofambiswa nedata, zviziviso zvinowanikwa kubva kuongororo dzinokosha chete kana zvagovaniswa uye zvaitwa. Analytics Catalogs inogonesa kubatana kuri nani pakati pevanoongorora data, masayendisiti edata, uye vashandisi vebhizinesi. Nekupa chikuva chakagovaniswa chekutsvaga, kunyora, uye kukurukura zvinhu zvekuongorora, iyo Catalog inokurudzira kugovana ruzivo uye kuyambuka-kushanda kwechikwata.
2. **Accelerated Analytics Asset Discovery**: Sezvo huwandu hwezvinhu zvekuongorora huchikura, kukwanisa kuwana zviwanikwa zvakakosha zvinokurumidza kuva zvakakosha. Analytics Catalogs inogonesa vashandisi nehunyanzvi hwekutsvagisa, hungwaru kumaka, kurakidza, AI, uye kupatsanura, zvakanyanya kudzikisira nguva uye simba rinoshandiswa pakutsvaga asset. Vanoongorora zvino vanogona kutarisa pakuwana ruzivo pane kuvhima data chaiyo.
3. **Utongi hwakavandudzwa uye Kutevedza**: Nekuwedzera kuri kuita utongi uye kutevedzera, Bhuku reAnalytics rinoita basa rakakosha pakuona kuchengetedzwa uye kuvanzika kwedata rinonzwisisika kuburikidza nekuona. Kazhinji zvinotariswa zvinoiswa paData Governance pasina pfungwa dzeAnalytics Governance (inogona kureva https://motio.com/data-governance-is-not-protecting-your-analytics/) Nekuchengetedza nekugadzira metadata yeasset, mvumo, uye kusimudzira nharaunda yevashandisi iyo Catalog inobatsira mukuomerera kumitemo yekutonga uye zvinodiwa zvekutonga.
4. **Optimized Resource Utilization**: Masangano ane maturusi ekuongorora akawanda uye mapuratifomu mutech stack (25% yemasangano anoshandisa gumi kana kupfuura mapuratifomu eBI, 10% yemasangano anoshandisa ina kana kupfuura, uye 61% yemasangano anoshandisa maviri kana zvimwe - maererano neForrester). Katalog yeAnalytics inogona kubatana nemidziyo iyi, ichibvumira vashandisi kuwana uye kuwana analytics assets pane akasiyana siyana BI / analytics mapuratifomu zvisina musono kusanganisira SharePoint, Bhokisi, OneDrive, Google Drive nezvimwe. Kubatanidzwa uku kunoderedza kudzokorodza uye kunogonesa mashandisirwo ezviwanikwa, zvichitungamira kukuchengetedza mari uye nekuvandudza kushanda zvakanaka.
5. **Maonero Akazara eAnalytics Ecosystem**: Nekushanda senzvimbo yepakati yeruzivo rwekuongorora, Analytics Catalog inopa maonero akakwana eecosystem yesangano. Uku kuoneka kunobatsira mukuona kudzokororwa kwekuongorora, mapeji mukuvharwa kweanalytics, uye mikana yekuvandudza maitiro uye kushandiswa kwezviwanikwa.
mhedziso
Sezvo nzvimbo yeanalytics ichiramba ichishanduka, basa reAnalytics Catalogs senge tekinoroji iri kusimukira rakaiswa kuti riwedzere kukosha. Nekufambisa kushandira pamwe, kugadzirisa kuwanikwa kweasset, kubatsira kuve nechokwadi chekutonga, uye nekupa maonero akakwana eiyo analytics ecosystem, iyo Analytics Catalog inoita seyamuro yekuita sarudzo inotungamirwa nedata. Digital Hive iri padanho rinotungamira seyakachena Analytics Catalog. Ini ndinoshevedzera "kuchena" sekusiyanisa kwayo:
- Kwete kubata, kuchengeta kana kudzokorora data
- Kwete kudzokorora kana kutsanangurazve chengetedzo
- Kupa Yakabatana Dashboard ine Yakabatana kusefa inobvumira zvidimbu zve analytics assets kuti zviunganidzwe kuita imwechete asset vs nhandaro.
Aya ndiwo mapoinzi akakosha ekutoresa nyore, mutengo wakaderera wevaridzi uye kungogumira neimwe BI Platform yekubata.
SeCTO uye nhengo yenguva yakareba yenharaunda yeAnalytics ndinofara nezve shanduko inogona kuitika yeAnalytics Catalogs, uye ndinotenda kuti kumbundira tekinoroji iyi kuchaita kuti makambani arambe ari pamberi peiyo curve munyika inokurumidza kukurumidza yekuongorora iyo isu. rudo rwose.
