10 Zvakanakisa Zvekuchenesa Dhata (Chivabvu 2024)

Hazvina mubvunzo kuti data igoridhe ranhasi. Hapana pfuma inokosha kupfuura iyi. Nezvakataurwa, kwete chero data rinogona kukwidziridzwa nemasangano. Yakasviba data inogona kukanganisa bhizinesi analytics, uye rinenge sangano rega rega rakafanirwa kubata neimwe nhanho yenhamba dzisingavimbike. Iyi data yakaipa inogona kutungamirira kune hurombo husinganzwisisike, uye inogona kukonzera kuongororwa kusingaenderane kunotungamirira kukukundikana, kuwedzera kwemari yekushanda, uye kusagutsikana kwevatengi.

Kusimuka kwedata riripo kwakonzerawo kuwanda kwemidziyo yekuchenesa data, iyo inoshandisa hungwaru hwekugadzira (AI) kuchengetedza masangano huwandu hwakakura hwenguva nezviwanikwa. Kuchenesa data ndiyo yekupedzisira maitiro ekupinda data, uye inotenderera kune yakatarwa mitemo. 

Asi chii chaizvo chiri kuchenesa data?

Kuchenesa Data Kunoshanda Sei?

Panogona kuve nekukanganisa kwakawanda mudhata rinouya kubva kuzvinhu zvakaita seyakashata yekupinda data, kwakabva data, kusawirirana kwekwakabva uye kwainoenda, uye kuverengera kusiriko. Kana izvi zvikaitika, iyo data inofanirwa kucheneswa, kana nemamwe mazwi, inofanirwa kudzima zvisirizvo, yakaora, yakadzokororwa, kana isina kukwana ruzivo kubva kudhata. 

Nekuchenesa data rakashata, masangano anogona kubvisa hurombo-mhando mhedzisiro. Ichi ndicho chikonzero zvakakosha kuita kuchenesa data usati waita modhi uye kuongorora. Inogona zvakare kuve nechokwadi chekuti unongova nemafaira achangoburwa uye magwaro akakosha, kana kuti hauna ruzivo rwakawanda rwemunhu rwunogona kuisa njodzi yekuchengetedza. 

Tichifunga nezvezvikonzero zvakawanda zvekuita kuchenesa data, zvakakosha kusarudza imwe yepamusoro inowanikwa pamusika. 

Heano gumi akanakisa ekuchenesa data maturusi: 

1. OpenRefine

Kutungamira runyorwa rwedu OpenRefine, inova inonyanya-inozivikanwa yakavhurika-sosi data utility. Iyo data yekuchenesa chishandiso inobatsira sangano rako kushandura data pakati pemafomati akasiyana uchichengetedza chimiro chayo. Nekubvumidza iwe kushandura data, unogona kushanda zviri nyore nemaseti makuru edata kufananidza, kuchenesa, uye kuongorora data. Iyo zvakare inoita kuti iwe ukwanise kupatsanura data kubva painternet uye kushanda nedata zvakananga pamushini wako. 

Heano mamwe emabhenefiti eOpenRefine: 

• Free uye pachena mabviro
• Tinotsigira pamusoro 15 mitauro
• Shanda nedta pamushini wako
• Chengetedza data kubva paInternet 

2. Trifacta Wrangler

Trifacta Wrangler ndeimwe yepamusoro data yekuchenesa maturusi pamusika. Ichi chinopindirana uye chekushandura chishandiso chinoita kuti vanoongorora data vachenese uye vagadzirire data nekukurumidza zvichienzaniswa nemamwe maturusi. Nekuda kwekutarisisa kwayo pakuongorora data, nguva shoma inodiwa pakufomati. Trifacta Wrangler zvakare inovimba nemuchina kudzidza (ML) algorithms kukurudzira zvakajairika data shanduko uye aggregations. 

Heano mamwe emabhenefiti eTrifacta Wrangler:

• Nguva yefomati shoma
• Tarisa pakuongorora data
• Kurumidza uye kwakarurama
• Mazano ekudzidza algorithm yemuchina

3. WinPure

Imwe yeakanyanya kudhura-inoshanda data yekuchenesa maturusi, WinPure imwe yeimwe yepamusoro sarudzo. Inoshanda kuchenesa yakakura data seti nekugadzirisa, kuenzanisa, uye kubvisa zvakapetwa. WinPure inogona kushandiswa kuchenesa kupfuura dhatabhesi chete. Unogona kuishandisa paCRM, maspredishiti, uye mamwe akasiyana masosi. Madhatabheti chaiwo anogona kucheneswa neWinPure anosanganisira SQL Server, Access, Dbase, uye Txt mafaera. Imwe yemabhenefiti makuru echishandiso ndechekuti yakaiswa munharaunda, izvo zvinoguma nehupamhi hwekuchengetedza. 

Heano mamwe emabhenefiti eWinPure: 

• Inochenesa huwandu hwakawanda hwe data
• Yakaiswa munharaunda
• Yemahara vhezheni ine maficha
• Mitauro ina

4. Drake

Imwe yeakareruka data yekuchenesa maturusi ndiDrake, inova inowedzera, zvinyorwa-based data workflow ine matanho ekugadzirisa data. Inogona kugadzirisa otomatiki kutsamira uye kuverenga murairo wekuita uye iyo inodiwa kurongeka kwekuuraya. Drake yakanyatsogadzirirwa kufambiswa kwedata uye manejimendi, uye inogona kuronga kuuraya kwekuraira kwakatenderedza data uye zvinoenderana nayo. 

Heano mamwe ezvakanakira Drake: 

• Yakarongeka yekuraira kutenderedza data uye zvinoenderana
• Zvakawanda zvekupinza uye zvinobuda
• Yakavakirwa-mukati HDFS rutsigiro
• Chishandiso chekuchenesa chiri nyore

5. TIBCO Kujeka

TIBCO Clarity chishandiso chekuchenesa data chinopa pane zvinodiwa software masevhisi kubva pawebhu. Inokugonesa kusimbisa data uchiichenesa kuti uone mafambiro anotungamira kune zvirinani kuita sarudzo. TIBO Clarity inogona kumisa data mbishi inounganidzwa kubva kwakasiyana zvinyorwa, zvichikonzera data yemhando iyo inogona kushandiswa pakuongorora chaiko. 

Heano mamwe emabhenefiti eTIBCO Clarity:

• Inopa SaaS kuburikidza newebhu
• Inomisa data yakabikwa 
• Inobatsira nekuongorora kwakarurama
• Zvinotungamirira kusarudzo dziri nani

6. Melissa Yakachena Suite

Imwezve yepamusoro data yekuchenesa chishandiso pamusika ndeye Melissa Yakachena Suite, inova data yekuchenesa mhinduro inoshanda kusimudzira mhando yedata muCRM neERP mapuratifomu seOracle CRM, Salesforce, Oracle ERP, uye Microsoft Dynamics CRM. Inopa huwandu hwakasiyana hwekugona senge kudzoreredza dhata, kusimbiswa kwedata, kubata otomatiki, kupfumisa data, uye chaiyo-nguva uye batch kugadzirisa. 

Heano mamwe emabhenefiti eMelissa Yakachena Suite: 

• Inovandudza mhando yedata muCRM uye ERP mapuratifomu
• Data deduplication
• Data verification
• Real-nguva uye batch processing

7. Dare Dhata

Data Ladder ipuratifomu inopa zvigadzirwa zvakasiyana, seDataMatch, inova yekuchenesa uye yemhando yedata. Inopawo DataMatch Enterprise, iyo inosanganisira yepamberi fuzzy yekufananidza algorithms anosvika zana remamiriyoni marekodhi. DataMatch Enterprise zvakare imwe yeanokurumidza pamusika uchiwana imwe yepamusoro-soro yekufananidza kurongeka. 

Heano mamwe emabhenefiti eData Ladder:

• Mushandisi ane hushamwari maturusi
• Inobatsira kune ese saizi bhizinesi
• Easy data yekuchenesa maitiro
• High kuenzanisa kururama

8. IBM Infosphere Quality Stage

Kuuya kubva kune rimwe remazita makuru muindasitiri, IBM Infosphere Quality Stage ine chinangwa chekutsigira data mhando. Ndiyo imwe yeanonyanya kufarirwa data yekuchenesa maturusi aripo ekutsigira yakazara data mhando. Inogonesa kucheneswa kuri nyore uye manejimendi edhatabhesi uku ichibatsirawo kuvaka anowirirana maonero emakambani akakosha mayuniti, akadai sevatengi, vatengesi, zvigadzirwa, nenzvimbo. Iyo data yekuchenesa chishandiso inonyanya kubatsira kune hombe data, hungwaru hwebhizinesi, master data management, uye data warehousing. 

Heano mamwe emabhenefiti eIBM Infosphere Quality Stage:

• Inotsigira yakazara data mhando
• Kuchenesa kuri nyore uye manejimendi edhatabhesi
• Inobatsira kune data hombe uye hungwaru hwebhizinesi
• Kutonga kwemashoko

9. Cloudingo

Clouding imwezve imwe sarudzo huru kana zvasvika kune data yekuchenesa maturusi. Ichi chishandiso chinongobata chete kuchengetedza Salesforce data yakachena uye inogoneka. Icho chishandiso chiri nyore chinokugonesa zvakare kudzima zvinyorwa zvekare, otomatiki pane hurongwa, uye kugadzirisa marekodhi muhuwandu. Cloudingo inogona kushandiswa nemakambani eese saizi. 

Heano mamwe emabhenefiti eCloudingo:

• zvoga 
• Simple kushandisa
• Inodzima zvinyorwa zvekare uye zvisingadiwe
• Inobatsira kumakambani eese saizi

10. Quadient Data Cleaner

Chishandiso chekupedzisira pane yedu chinyorwa Quadient Data Cleaner, inova ine simba data profiling injini. Inoongorora mhando yedata kuti ivandudze mabhizinesi ekuita sarudzo. Chishandiso ichi chinogona kuvimba neusinganzwisisike kuti uone kudzokororwa uye kuvaka imwe vhezheni, uye zvakare inogonesa kuwanikwa kwemaitiro, husiko husingapo, seti yehunhu, uye zvimwe zvinhu zvakawanda mudhatabheti. 

Heano mamwe emabhenefiti eQuadient Data Cleaner:

• Yakasimba data profile injini
• Inoongorora mhando yedata
• Kushandisa fuzzy logic
• Inoona zvinhu zvakawanda mudataset