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Iyini Idatha Enkulu? Ayini ama-5 V's? Ubuchwepheshe, Intuthuko, kanye nezibalo

Isithembiso sika idatha enkulu ukuthi izinkampani zizoba nobuhlakani obuningi kakhulu bokuthatha izinqumo ezinembile kanye nokuqagela ukuthi ibhizinisi labo lisebenza kanjani. I-Big Data ayinikezi nje kuphela ulwazi oludingekayo ukuze kuhlaziywe futhi kuthuthukiswe imiphumela yebhizinisi, kodwa futhi inikeza uphethiloli odingekayo AI ama-algorithms wokufunda nokwenza izibikezelo noma izinqumo. Esikhundleni salokho, ML kungasiza ukwenza umqondo wedathasethi eyinkimbinkimbi, ehlukahlukene, kanye nesilinganiso esikhulu okuyinselele ukuyicubungula nokuhlaziya kusetshenziswa izindlela zendabuko.

Kuyini i-Big Data?

Idatha enkulu igama elisetshenziselwa ukuchaza ukuqoqwa, ukucubungula nokutholakala kwamavolumu amakhulu wedatha esakazwayo ngesikhathi sangempela. Izinkampani zihlanganisa ukumaketha, ukuthengisa, idatha yekhasimende, idatha yokwenziwayo, izingxoxo zomphakathi kanye nedatha yangaphandle njengezintengo zesitoko, isimo sezulu nezindaba ukuze zihlonze ukuhlobana kanye nembangela yamamodeli avumelekile ngokwezibalo ukuzisiza ukwenza izinqumo ezinembe kakhudlwana.

I-Gartner

Idatha Enkulu ibonakala ngama-5 Vs:

  1. Volume: Inani elikhulu ledatha likhiqizwa emithonjeni ehlukahlukene, njengemithombo yezokuxhumana, IoT amadivayisi, kanye nokuthengiselana kwebhizinisi.
  2. Isimo: Isivinini idatha ekhiqizwa ngaso, icutshungulwa, futhi ihlaziywe.
  3. Izinhlobonhlobo: Izinhlobo ezahlukene zedatha, okuhlanganisa idatha ehlelekile, enesakhiwo esincane, nengahlelekile, zivela emithonjeni ehlukahlukene.
  4. Ubuqiniso: Ikhwalithi nokunemba kwedatha, engathinteka ngokungahambisani, ukungaqondakali, noma ulwazi olunganembile.
  5. Inani: Ukusebenziseka namandla okukhipha imininingwane kudatha engaqhuba ukuthathwa kwezinqumo okungcono nokusungula izinto ezintsha.

Izibalo Zedatha Enkulu

Nasi isifinyezo sezibalo ezibalulekile ezivela I-TechJury ku-Big Data amathrendi nokuqagela:

  • Ukukhula kwevolumu yedatha: Ngo-2025, i-datasphere yomhlaba wonke kulindeleke ukuthi ifinyelele kuma-zettabytes angu-175, okubonisa ukukhula okunamandla kwedatha.
  • Ukwandisa amadivayisi we-IoT: Inani lamadivayisi e-IoT kulindeleke ukuthi lifinyelele ezigidini eziyizinkulungwane ezingama-64 ngonyaka ka-2025, liphinde libe negalelo ekukhuleni kwedatha enkulu.
  • Ukukhula kwemakethe Yedatha Enkulu: Usayizi wemakethe yeBig Data yomhlaba wonke bekulindeleke ukuthi ukhule ufinyelele ku-$229.4 billion ngo-2025.
  • Isidingo esikhulayo sososayensi bedatha: Ngo-2026, isidingo sososayensi bedatha kulindeleke ukuthi sikhule ngo-16%.
  • Ukwamukelwa kwe-AI ne-ML: Ngo-2025, usayizi wemakethe ye-AI kwabikezelwa ukuthi uzofinyelela ku-$190.61 billion, eqhutshwa ukwanda kokwamukelwa kobuchwepheshe be-AI ne-ML bokuhlaziywa kwe-Big Data.
  • Izixazululo Zedatha Enkulu Esekelwe Efu: I-Cloud computing bekulindeleke ukuthi ihlanganise u-94% wawo wonke umsebenzi ngo-2021, okugcizelela ukubaluleka okukhulayo kwezixazululo ezisekelwe emafini zokugcinwa kwedatha nokuhlaziya.
  • Imboni yokudayisa kanye nedatha enkulu: Abathengisi abasebenzisa i-Big Data bekulindeleke ukuthi bakhuphule izilinganiso zabo zenzuzo ngo-60%.
  • Ukukhula kokusetshenziswa Kwedatha Enkulu ekunakekelweni kwezempilo: Imakethe yezibalo zokunakekelwa kwezempilo kulindeleke ukuthi ifinyelele ku-$50.5 billion ngo-2024.
  • Inkundla yezokuxhumana kanye nedatha enkulu: Abasebenzisi benkundla yezokuxhumana bakhiqiza amapetabhayithi angu-4 edatha nsuku zonke, okugqamisa umthelela wenkundla yezokuxhumana ekukhuleni Kwedatha Enkulu.

I-Big Data iphinde ibe yi-Great Band

Akukhona lokhu esikhuluma ngakho lapha, kodwa ungase ulalele ingoma emnandi ngenkathi ufunda nge-Big Data. Angiyifaki ividiyo yomculo yangempela… ayiphephile ngempela emsebenzini. PS: Ngiyazibuza ukuthi ngabe bakhetha igama ukuze babambe igagasi lokuduma kwedatha enkulu eyakhiwa.

Kungani Idatha Enkulu Yehlukile?

Ezinsukwini zakudala… uyazi… eminyakeni embalwa edlule, sasizosebenzisa amasistimu ukuze sikhiphe, siguqule, futhi silayishe idatha (I-ETL) ezinqolobaneni ezinkulu zedatha ezazinezixazululo zobuhlakani bebhizinisi ezakhelwe phezu kwazo ukuze kubikwe. Ngezikhathi ezithile, wonke amasistimu ayesekela futhi ahlanganise idatha kusizindalwazi lapho imibiko yayingase iqhutshwe khona futhi wonke umuntu engathola ukuqonda kokuthi kwenzakalani.

Inkinga ibiwukuthi ubuchwepheshe besizindalwazi abukwazanga nje ukuphatha idatha eminingi, eqhubekayo. Ayikwazanga ukuphatha umthamo wedatha. Ayikwazanga ukulungisa idatha engenayo ngesikhathi sangempela. Futhi amathuluzi okubika ayeshoda ayengakwazi ukubhekana nanoma yini ngaphandle kombuzo wobudlelwane ngemuva. Izixazululo Zedatha Enkulu zinikeza ukusingathwa kwamafu, izakhiwo zedatha ezinenkomba ephezulu futhi ezithuthukisiwe, ukugcinwa komlando okuzenzakalelayo namandla okukhipha, nezindawo zokubika eziklanyelwe ukuhlinzeka ngokuhlaziya okunembe kakhudlwana okwenza amabhizinisi enze izinqumo ezingcono.

Izinqumo zebhizinisi ezingcono zisho ukuthi izinkampani zinganciphisa ubungozi bezinqumo zazo, futhi zenze izinqumo ezingcono ezinciphisa izindleko futhi zikhuphule ukusebenza kwezokukhangisa nokuthengisa.

Ziyini Izinzuzo Zedatha Enkulu?

ikhompyutha uhamba ngezingozi namathuba ahambisana nokusebenzisa idatha enkulu ezinkampanini.

  • Idatha enkulu ifike ngesikhathi - 60% wosuku ngalunye lomsebenzi, abasebenzi bezolwazi abachitha bezama ukuthola nokuphatha idatha.
  • Idatha enkulu iyatholakala - Isigamu sezikhulu eziphezulu sibika ukuthi ukuthola imininingwane eyiyo kunzima.
  • Idatha enkulu i-Holistic - Ulwazi okwamanje lugcinwe ezinqolobaneni ngaphakathi kwenhlangano. Idatha yokumaketha, isibonelo, ingatholakala kuzibalo zewebhu, izibalo zeselula, izibalo zomphakathi, Ama-CRM, Amathuluzi okuhlola i-A/B, amasistimu okuthengisa nge-imeyili, nokunye... ngakunye kugxile kusilo salo.
  • Idatha enkulu ithembekile - Izinkampani ezingama-29% zilinganisa izindleko zemali yekhwalithi yedatha empofu. Izinto ezilula njengokuqapha amasistimu amaningi wezibuyekezo zolwazi lokuxhumana namakhasimende zingonga izigidi zamaRandi.
  • Idatha enkulu iyasebenza - Izinkampani ezingama-43% azigculisekile ngamathuluzi wazo wokuhlunga idatha engasebenzi. Okuthile okulula njengokuhlunga amakhasimende kuwebhu yakho analytics inganikeza ithani lokuqonda ngemizamo yakho yokuthola.
  • Idatha enkulu ivikelekile - Ukwephulwa kwesilinganiso sokuphepha kwedatha kubiza u- $ 214 ngekhasimende ngalinye. Ingqalasizinda ephephile eyakhiwa ukusingathwa kwedatha enkulu kanye nabalingani bezobuchwepheshe kungonga inkampani emaphakathi i-1.6% yemali etholwa minyaka yonke.
  • Idatha enkulu inegunya - Izinhlangano ezingama-80% zilwa nezinhlobo eziningi zeqiniso ngokuya ngomthombo wedatha yazo. Ngokuhlanganisa imithombo eminingi, ehlolwe, izinkampani eziningi zingakhiqiza imithombo yezobunhloli enembile kakhulu.
  • Idatha Enkulu Iyasebenza - Idatha ephelelwe yisikhathi noma emibi iholela kuma-46% ezinkampani ezenza izinqumo ezimbi ezingadla izigidigidi.

Big Data Technologies

Ukuze kucutshungulwe idatha enkulu, kube nentuthuko enkulu ekugcinweni, ukugcinwa kwengobo yomlando, kanye nobuchwepheshe bokubuza:

  • Amasistimu wamafayela asabalalisiwe: Amasistimu afana ne-Hadoop Distributed File System (HDFS) vumela ukugcinwa nokuphatha umthamo omkhulu wedatha kuwo wonke ama-node amaningi. Le ndlela ihlinzeka ngokubekezelela amaphutha, ukukala, nokuthembeka lapho uphatha Idatha Enkulu.
  • Imininingwane ye-NoSQL: Imininingo egciniwe efana ne-MongoDB, i-Cassandra, ne-Couchbase yakhelwe ukuphatha idatha engahlelekile neyakheke kancane. Lezi zingosi zolwazi zinikeza ukuguquguquka ekufanekiseni idatha futhi zinikeze ukukala okuvundlile, okuzenza zifanelekele izinhlelo zokusebenza Zedatha Enkulu.
  • Imephu Nciphisa: Le modeli yokuhlela ivumela ukucubungula amasethi edatha amakhulu ngokuhambisana endaweni esabalalisiwe. I-MapReduce inika amandla ukuhlukanisa imisebenzi eyinkimbinkimbi ibe imisebenzi emincane emincane, ebese icutshungulwa ngokuzimela futhi ihlanganiswe ukuze kukhiqizwe umphumela wokugcina.
  • I-Apache Spark: Injini yokucubungula idatha yomthombo ovulekile, i-Spark ingakwazi ukuphatha kokubili iqoqo kanye nokucubungula kwesikhathi sangempela. Inikeza ukusebenza okuthuthukisiwe uma kuqhathaniswa ne-MapReduce futhi ihlanganisa amalabhulali okufunda ngomshini, ukucutshungulwa kwegrafu, nokucutshungulwa kokusakaza, okuyenza ibe nezinto ezihlukahlukene ezimweni ezihlukahlukene zokusebenzisa Idatha Enkulu.
  • Amathuluzi okubuza afana ne-SQL: Amathuluzi afana ne-Hive, i-Impala, ne-Presto avumela abasebenzisi ukuthi baqhube imibuzo ku-Big Data besebenzisa abajwayelekile SQL i-syntax. Lawa mathuluzi avumela abahlaziyi ukuthi bakhiphe imininingwane ku-Big Data ngaphandle kokudinga ubuchwepheshe ngezilimi zokuhlela eziyinkimbinkimbi.
  • Amachibi edatha: Lezi zindawo zokugcina zingagcina idatha eluhlaza ngefomethi yayo yomdabu kuze kube yilapho idingeka ukuze ihlaziywe. Amachibi edatha ahlinzeka ngesixazululo esingaka futhi esingabizi kakhulu sokugcina amanani amakhulu edatha ehlukahlukene, engacutshungulwa kamuva futhi ihlaziywe njengoba kudingeka.
  • Izixazululo zokugcina idatha: Amapulatifomu afana ne-Snowflake, i-BigQuery, ne-Redshift anikezela ngendawo elinganisekayo nesebenzayo yokugcina nokubuza inani elikhulu ledatha ehleliwe. Lezi zixazululo ziklanyelwe ukuphatha izibalo ze-Big Data futhi zinike amandla ukubuza nokubika ngokushesha.
  • Izinhlaka zokufunda zomshini: Amafreyimu afana ne-TensorFlow, i-PyTorch, ne-scikit-learn inika amandla amamodeli okuqeqesha kumasethi edatha amakhulu wemisebenzi efana nokuhlukanisa, ukuhlehla, nokuhlanganisa. Lawa mathuluzi asiza ekutholeni imininingwane nokuqagela ku-Big Data kusetshenziswa amasu e-AI athuthukile.
  • Amathuluzi Okubona Idatha: Amathuluzi afana ne-Tableau, Power BI, ne-D3.js asiza ekuhlaziyeni nasekwethuleni imininingwane evela ku-Big Data ngendlela ebonakalayo nesebenzisanayo. Lawa mathuluzi avumela abasebenzisi ukuthi bahlole idatha, bakhombe amathrendi, futhi baxhumane nemiphumela ngempumelelo.
  • Ukuhlanganiswa Kwedatha kanye ne-ETL: Amathuluzi afana ne-Apache NiFi, Talend, kanye ne-Informatica avumela ukukhishwa, ukuguqulwa, kanye nokulayishwa kwedatha kusuka emithonjeni ehlukahlukene kuya ohlelweni lwesitoreji olumaphakathi. Lawa mathuluzi enza kube lula ukuhlanganiswa kwedatha, okwenza izinhlangano zikwazi ukwakha umbono ohlangene wedatha yazo ukuze ihlaziywe futhi ibike.

Idatha Enkulu kanye ne-AI

Ukugqagqana kwe-AI ne-Big Data kulele eqinisweni lokuthi amasu e-AI, ikakhulukazi ukufunda ngomshini nokufunda okujulile (DL), ingasetshenziselwa ukuhlaziya nokukhipha imininingwane emiqulwini emikhulu yedatha. Idatha Enkulu ihlinzeka ngophethiloli odingekayo ukuze ama-algorithms e-AI afunde futhi enze izibikezelo noma izinqumo. Ngokulandelayo, i-AI ingasiza ukwenza umqondo wedathasethi eyinkimbinkimbi, ehlukahlukene, kanye nesilinganiso esikhulu okuyinselele ukuyicubungula nokuhlaziya kusetshenziswa izindlela zendabuko. Nazi ezinye izindawo ezibalulekile lapho i-AI ne-Big Data zihlangana khona:

  1. Ukucutshungulwa kwedatha: Ama-algorithms anamandla e-AI angasetshenziswa ukuze kuhlanzwe, kucutshungulwe kuqala, futhi kuguqulwe idatha eluhlaza kusukela kumithombo Yedatha Enkulu, okusiza ukuthuthukisa ikhwalithi yedatha nokuqinisekisa ukuthi ilungele ukuhlaziywa.
  2. Ukukhishwa kwesici: Amasu e-AI angasetshenziswa ukuze kukhishwe izici ezifanele namaphethini ku-Big Data, kwehliswe ubukhulu bedatha futhi kuyenze ilawuleke kangcono ukuze ihlaziywe.
  3. Izibalo zokubikezela: Ukufunda komshini nama-algorithms okufunda okujulile kungaqeqeshwa kumadathasethi amakhulu ukuze kwakhiwe amamodeli aqagelayo. Lawa mamodeli angasetshenziswa ukwenza izibikezelo ezinembile noma ukukhomba amathrendi, okuholela ekuthathweni kwezinqumo okungcono kanye nemiphumela ethuthukisiwe yebhizinisi.
  4. Ukutholwa okungaqondakali: I-AI ingasiza ekuhlonzeni amaphethini angajwayelekile noma abangaphandle kokuthi Idatha Enkulu, ivumele ukutholwa kusenesikhathi kwezinkinga ezingaba khona njengokukhwabanisa, ukungena kwenethiwekhi, noma ukwehluleka kwezisetshenziswa.
  5. Ukucubungula ulimi lwezemvelo (I-NLP): Amasu e-NLP anamandla e-AI angasetshenziswa ukuze kucutshungulwe futhi kuhlaziywe idatha yombhalo engahlelekile evela emithonjeni Yedatha Enkulu, njengenkundla yezokuxhumana, ukubuyekezwa kwamakhasimende, noma izindatshana zezindaba, ukuze kutholwe imininingwane ebalulekile kanye nokuhlaziya imizwelo.
  6. Ukuhlaziywa kwesithombe nevidiyo: Ama-algorithms wokufunda okujulile, ikakhulukazi amanethiwekhi e-convolutional neural (Ama-CNN), ingasetshenziselwa ukuhlaziya nokukhipha imininingwane emiqulwini emikhulu yedatha yesithombe nevidiyo.
  7. Ukwenza kube ngokwakho nokuncoma: I-AI ingahlaziya inani elikhulu ledatha emayelana nabasebenzisi, ukuziphatha kwabo, nezintandokazi ukuze inikeze ukuzizwisa komuntu siqu, okufana nezincomo zomkhiqizo noma ukukhangisa okuqondisiwe.
  8. Ukulungiselela: Ama-algorithms e-AI angahlaziya idathasethi enkulu ukuze ahlonze izixazululo ezifanele ezinkingeni eziyinkimbinkimbi, njengokuthuthukisa ukusebenza kochungechunge lokunikezela, ukuphathwa kwethrafikhi, noma ukusetshenziswa kwamandla.

Ukusebenzisana phakathi kwe-AI ne-Big Data kuvumela izinhlangano ukuthi zisebenzise amandla ama-algorithms e-AI ukwenza umqondo wamanani amakhulu edatha, okuholela ekuthathweni kwezinqumo okunolwazi kanye nemiphumela engcono yebhizinisi.

Le infographic evela ku-BBVA, Idatha Enkulu Yamanje Nekusasa, ilandisa ngentuthuko Yedatha Enkulu.

Idatha enkulu ye-2023 infographic

Douglas Karr

Douglas Karr i-CMO ye VulaINSIGHTS kanye nomsunguli we Martech Zone. UDouglas usize inqwaba yeziqalo eziphumelelayo ze-MarTech, uye wasiza ekukhuthaleni okungaphezu kuka-$5 bil ekuthengeni nasekutshalweni kwe-Martech, futhi uyaqhubeka nokusiza izinkampani ekusebenziseni nasekuzenzeleni amasu azo okuthengisa nokumaketha. UDouglas uyingcweti yokuguqula idijithali eyaziwa emhlabeni wonke kanye nesikhulumi se-MarTech. UDouglas futhi ungumbhali oshicilelwe wencwadi kaDummie kanye nencwadi yobuholi bebhizinisi.

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