Webosaete ea Marang-rang e fana ka litšebeletso tsa polokelongtshedimosetso tsamaiso ea tsamaiso, data e kholo analytics, theknoloji ea data e kholo analytics, leano la data e kholo litlhahlobo a Cremona.
Re sebetsa ho ea pele polokelongtshedimosetso tsamaiso ea tsamaiso le su data e kholo analytics hape re sebetsa lipatlisisong le nts'etsopele ho mahlale a data e kholo li-analytics le mahlale a morao-rao polokelongtshedimosetso tsamaiso ea tsamaiso metseng e latelang: Acquanegra Cremonese, Agnadello, Annicco, Azzanello, Bagnolo Cremasco, Bonemerse, Bordolano, Ca 'd'Andrea, Calvatone, Camisano, Campagnola Cremasca, Capergnanica, Cappella Cantone, Cappella de' Picenardi, Capraltano le Capralba, Uniti , Casale Cremasco-Vidolasco, Casaletto Ceredano, Casaletto di Sopra, Casaletto Vaprio, Casalmaggiore, Casalmorano, Castel Gabbiano, Casteldidone, Castelleone, Castelverde, Castelvisconti, Cella Dati, Chieve, Cicognolo, Cingia de 'Botti, Corte de' Cortesi le Cignone, Corte de 'Frati, Credera Rubbiano, Crema, Cremona, Cremosano, Crotta d'Adda, Cumignano sul Naviglio, Derovere, Dovera, Drizzona, Fiesco, Formigara, Gabbioneta-Binanuova, Gadesco-Pieve Delmona, Genivolta, Gerre de 'Caprioli, Gombito, Grontardo, Grumello Cremoneseed Unit Dovarese, Izano, Madignano, Malagnino, Martignana di Po, Monte Cremasco, Montodine, Moscazzano, Motta Baluffi, Offanengo, Olmeneta, Ostiano, Paderno Ponchielli, Palazzo Pignano, Pandino, Persico Dosimo, Pescarolo ed Uniti, Pesdenango Cremonese, Piango Cremonese, Pieranica, Pieve d'Olmi, Pieve San Giacomo, Pizzighettone, Pozzaglio ed Uniti, Quintano, Ricengo, Ripalta Arpina, Ripalta Cremasca, Ripalta Guerina, Rivarolo del Re ed Uniti, Rivolta d'Adda, Robecco d'Oglio, Roma, Salvador San Bassano, San Daniele Po, San Giovanni in Croce, San Martino del Lago, Scandolara Ravara, Scandolara Ripa d'Oglio, Sergnano, Sesto ed Uniti, Solarolo Rainerio, Soncino, Soresina, Sospiro, Spinadesco, Spineda, Spino d'Adda, Stagno Lombardo, Ticengo, Torlino Vimercati,Morao, Torre de 'Picenardi, Torricella del Pizzo, Trescore Cremasco, Trigolo, Vaiano Cremasco, Vailate, Vescovato, Volongo, Voltido.
Ha re theheng projeke ea hau ea data e kholo analytics mme ha ho mohla re u tlohelang u le mong.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Re sebetsa re le:
-polokelongtshedimosetso Sistimi ea taolo ea Oracle
-polokelongtshedimosetso Sistimi ea tsamaiso ea Postgresql
-polokelongtshedimosetso Sistimi ea taolo ea IBM DB2
-polokelongtshedimosetso Sap Hana tsamaiso ea tsamaiso
-polokelongtshedimosetso Sistimi ea taolo ea Microsoft SQL Server
-polokelongtshedimosetso Sistimi ea taolo ea Cassandra
-polokelongtshedimosetso Sistimi ea taolo ea Mongo DB
-polokelongtshedimosetso Informix tsamaiso ea tsamaiso
-polokelongtshedimosetso Sistimi ea taolo ea Filemaker
-polokelongtshedimosetso Sistimi ea taolo ea Teradata.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Webosaete ea Marang-rang e fana ka boeletsi ba maano, saense ea data, merero ka data e kholo, sekaseka i data e kholo e bokelletsoeng ke k'hamphani, ho rafa data le ho boloka litlaleho dati, tlhahlobo dati, pono dati, litsebi tsa linomoro, i dati e hlahlojoa ke litsebi, bohlale ba khoebo, li-analytics tse bonoang, data e kholo: ho buisana le lits'ebetso le lisebelisoa, dbms, polokelongtshedimosetso tsamaiso ea tsamaiso, polokelo ea data, mosebetsi o felletseng data e kholo, li-analytics tse boletsoeng esale pele, li-analytics tse tsoetseng pele, tse tsamaisoang ke data, bula data, boleng ba data, setsebi sa data, boleng ba data.
Webosaete ea Marang-rang e fana ka boeletsi ba maano, saense ea data, merero ka Dintlha tse kholo Analytics, sekaseka i Dintlha tse kholo e bokelletsoeng ke k'hamphani, ho rafa data le ho boloka litlaleho dati, tlhahlobo dati, pono dati, litsebi tsa linomoro, i dati e hlahlojoa ke litsebi, bohlale ba khoebo, li-analytics tse bonoang, data e kholo analytics: boeletsi le lits'ebeliso le lisebelisoa, dbms, polokelongtshedimosetso tsamaiso ea tsamaiso, polokelo ea data, mosebetsi o felletseng Lintlha tse kholo li-analytics, li-analytics tse boletsoeng esale pele, li-analytics tse tsoetseng pele, tse tsamaisoang ke data, bula data, boleng ba data, setsebi sa data, boleng ba data. Boitsebiso ba saense. Setsebi sa litaba. Lintlha tse kholo. Lintlha tse kholo litlhahlobo. Lintlha tse kholo mohlahlobi. Lintlha tse kholo tlhahlobo. Lintlha tse kholo litlhahlobo e data e kholo tlhatlhobo. Theknoloji ea data e kholo. Merero ka data e kholo. Bohlale ba data. Lintlha li tsamaisoa. Dintlha tse kholo e ho ithuta mochine. Lintlha tse kholo le meepo ea sechaba. Merafo ea data. Bohlale ba khoebo le li analytics tsa data. Ho buisana data e kholo. Keletso saense ea data. Lintlha tse kholo Dashboard. Tlosa Boitsebiso. Bula Data Scientist. E kholo Tlosa Boitsebiso. Re sebetsa ka thata Dintlha tse kholo mme re inka re le Baholo Data Scientist. Re sebetsa ka thata Dintlha tse kholo le ea Setsebi sa Boitsebiso. Re sebetsa le Boleng ba data.Boeletsi ba maano, saense ea data, merero ka data e kholo, sekaseka i data e kholo e bokelletsoeng ke k'hamphani, ho rafa data le ho boloka litlaleho dati, tlhahlobo dati, pono dati, litsebi tsa linomoro, i dati e hlahlojoa ke litsebi, bohlale ba khoebo, li-analytics tse bonoang, data e kholo: ho buisana le lits'ebetso le lisebelisoa, dbms, polokelongtshedimosetso tsamaiso ea tsamaiso, polokelo ea data, mosebetsi o felletseng data e kholo, li-analytics tse boletsoeng esale pele, li-analytics tse tsoetseng pele, tse tsamaisoang ke data, bula data, boleng ba data, setsebi sa data, boleng ba data.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Webosaete ea Marang-rang o sebetsa le ts'oaetso, ke motho mmoho le mochini eseng motho khahlano le mochini.
Webosaete ea Marang-rang e fana ka litšebeletso tsa bohlale ba maiketsetso le mahlale a ho ithuta mochini, theknoloji ea bohlale ba maiketsetso le mahlale a ho ithuta mochini, leano la bohlale ba maiketsetso le mahlale a ho ithuta mochini.
Webosaete ea Marang-rang e sebetsa lihloohong tse latelang: leru Khomphutha, Quantum Computing, Bohlale ba maiketsetso, Machine Ithuta, 'Nete e ntseng e eketseha, 'Nete ea sebele, Sesebelisoa sa indasteri e liroboto, Internet ea lintho.
Re tsetela nako le chelete lipatlisisong le nts'etsopele ho: leru Khomphutha, Quantum Computing, Bohlale ba maiketsetso, Machine Ithuta, 'Nete e ntseng e eketseha, 'Nete ea sebele, Sesebelisoa sa indasteri e liroboto, Internet ea lintho.
Webosaete ea Marang-rang ke k'hamphani e ikhethang ho raliseng le ho kenya tšebetsong tharollo e ncha makaleng a Ditshebeletso tsa Theknoloji le Theknoloji. Re sebetsa le bohlale ba maiketsetso.
Moralo, ts'ebetsong, tlhokomelo, lumella tumello ea rona ea bareki ho fihlela sepheo se behiloeng bakeng sabohlale ba maiketsetso le mahlale a ho ithuta mochini.
Re etsa mohlala k'hamphaning ea hau ho latela litlhoko tsa hau mme re o latela ka likhato tse 360.
In Webosaete ea Marang-rang re etsa hore mekhoa ea hau ea khoebo e tsoaletsoe hobohlale ba maiketsetso le mahlale a ho ithuta mochini.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Re sebetsa re le:
-polokelongtshedimosetso Sistimi ea taolo ea Oracle
-polokelongtshedimosetso Sistimi ea tsamaiso ea Postgresql
-polokelongtshedimosetso Sistimi ea taolo ea IBM DB2
-polokelongtshedimosetso Sap Hana tsamaiso ea tsamaiso
-polokelongtshedimosetso Sistimi ea taolo ea Microsoft SQL Server
-polokelongtshedimosetso Sistimi ea taolo ea Cassandra
-polokelongtshedimosetso Sistimi ea taolo ea Mongo DB
-polokelongtshedimosetso Informix tsamaiso ea tsamaiso
-polokelongtshedimosetso Sistimi ea taolo ea Filemaker
-polokelongtshedimosetso Sistimi ea taolo ea Teradata.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
I dati ke oli ea millennium e ncha, i data e kholo ke theknoloji e senyang hobane ha phetoho e le matla, ho ba le boiqapelo bo boholo. Setsi sa marang-rang sa marang-rang e lumela hore boleng ba data ke bokamoso, a dato eseng ea boleng ke litšenyehelo bakeng sa lik'hamphani le dati lihlahisoa tsa boleng li tlameha ho lula li theko e tlase ka linako tsohle.
Webosaete ea Marang-rang e sebetsa ho dati, mme ha se ba haufi le rona feela ba re khethang.
I dati ka sebopeho sa elektroniki e bapala karolo ea bohlokoa haholo sechabeng sa mahlale a tlhahisoleseling le puisano (ICT) mme ka lebaka la ho hasana ha bona "boleng" ba dati ka sebopeho sa elektroniki mme phello ea eona mefuteng eohle ea mesebetsi ea sechaba sa ICT e ntse e fetoha ea bohlokoa le ho feta.
Bohlokoa ba boleng ba data mekhoeng ea ho nka liqeto e fumanoe polelong ea boleng ba Sisteme ea European Statistical: "Re fa European Union le lefats'e tlhaiso-leseling e phahameng ka moruo le sechaba sechabeng sa Europe, naha le setereke, mme re etsa hore tlhahisoleseling ena e fumanehe ho bohle joalo ka ts'ehetso ea mesebetsi ea ho etsa liqeto, lipatlisiso le ngangisano. " Lenaneong la boleng ba data, Machaba a Kopaneng dato eseng ea boleng ke litšenyehelo bakeng sa lik'hamphani le dati lihlahisoa tsa boleng li tlameha ho lula li theko e tlase ka linako tsohle.
Setsi sa Data Warehousing, tlalehong ea 2002 mabapi le boleng ba data, e re ho na le lekhalo le leholo lipakeng tsa temoho le nnete ea boleng ba data mekhatlong e mengata, mme mathata ao a amana le boleng ba data e lefelletse likhoebo tsa US ho feta $ 600 billion ka selemo, le ka boleng ba data, Machaba a Kopaneng dato eseng ea boleng ke litšenyehelo bakeng sa lik'hamphani le dati lihlahisoa tsa boleng li tlameha ho lula li theko e tlase ka linako tsohle.
I dati ka mokhoa oa elektroniki li maemong a matle ho feta dati e bolokiloe litokomaneng tsa pampiri, haeba boleng ba data: a dato eseng ea boleng ke litšenyehelo bakeng sa lik'hamphani le dati lihlahisoa tsa boleng li tlameha ho lula li theko e tlase ka linako tsohle.
Webosaete ea Marang-rang e sebetsa ho Boleng ba data moo, tlhoko ea ho utloisisa le ho rarolla mathata a boleng mme ka hona ho tseba likarabo tsa lipotso tse latelang: Ha e le hantle eng boleng ba data? Ke mekhoa efe, mekhoa le mathata a teng ho boleng ba data na li se li kopantsoe? Ke mekhoa efe e tsebahalang le e tšepahalang ka ho fetisisa? Ke mathata afe a ntseng a e-so rarolloe?
Likopano tse ngata tsa machabeng li khothalelitsoe ke sechaba se nang le metheo ea dati le litsamaiso tsa tlhaiso-leseling e le karolo ea mantlha ea lipatlisiso; khatiso ea pele ea Seboka sa Machaba sa Boleng ba Boitsebiso (ICIQ), se hlophisitsoeng ka tloaelo Setsing sa Theknoloji sa Massachusetts (MIT) ho Boston, e qalile ka 1996; Kopano ya Boditšhabatšhaba ka ga Boleng jwa Tshedimosetso mo Dithulaganyong tsa Tshedimosetso (IQIS) e tshegeditse khonferense ya SIGMOD go tloga ka 2004; seminar ea machaba Data le Information Quality (DIQ) e 'nile ea tšoaroa ka har'a Seboka sa Advanced Information Systems Engineering (CAiSE) ho tloha 2004; le semina ea machaba ea Quality of Information Systems (QoIS), e 'nile ea tšoaroa 'moho le kopano ea Entity Relationship (ER) ho tloha ka 2005. Likopano tse ling li tšoaroa naheng ka bophara. France, Germania le United States.
Re mpa re le lengolo tsoibila, eseng feela ba haufi le rona ba re khethang.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
I dati ke oli ea millennium e ncha, the bula data ke theknoloji e senyang hobane ha phetoho e le matla, ho ba le boiqapelo bo boholo. Setsi sa marang-rang sa marang-rang e dumela seo bula data li nepahetse ebile e ka ba bokamoso, a dato ha e bulehe ke litšenyehelo bakeng sa lik'hamphani mme dati open e tlameha ho lula e theko e tlase ka linako tsohle.
Webosaete ea Marang-rang e sebetsa ho dati, mme ha se ba haufi le rona feela ba re khethang.
Tlhaloso: i dati mebuso e lokela ho fumaneha ho mang kapa mang ea nang le monyetla oa ho ajoa bocha ka mokhoa o fe kapa o fe ntle le lithibelo tsa litokelo.
I dati open e ka tsoa mohloling ofe kapa ofe.
Boemo: Ke dati tse bulehileng li ka kenyelletsa lintho tse seng tsa mongolo joalo ka limmapa, li-genome, li-connectomes, metsoako ea lik'hemik'hale, lipalo tsa lipalo le tsa mahlale, dati lingaka le ts'ebetso, bioscience le biodiversity. Hangata mathata a hlaha hobane a na le boleng ba khoebo kapa a ka kopanngoa hore e be mesebetsi ea bohlokoa. Ho fihlella kapa ho sebelisoa bocha dati e laoloa ke mekhatlo, ea sechaba le ea poraefete. Taolo e ka ba ka lithibelo tsa phihlello, lilaesense, litokelo tsa molao, litokelo tsa molao, le litefiso tsa ho fihlella kapa ho sebelisoa hape. Batšehetsi ba bula data pheha khang ea hore lithibelo tsena li khahlanong le molemo o tloaelehileng le hore tsena dati li lokela ho fumaneha ntle le lithibelo kapa litšenyehelo. Ho feta moo, ho bohlokoa hore i dati e ka sebelisoa hape ntle le ho hloka tumello e ngoe, leha mefuta ea ts'ebeliso hape (joalo ka ho theoa ha mesebetsi e nkiloeng) e ka laoloa ke laesense.
Webosaete ea Marang-rang sebetsa le bona bula data Bakeng sa mmuso, likopo tse ntle ka ho fetisisa tsa mmuso li batla ho matlafatsa baahi, ho thusa likhoebo tse nyane, kapa ho theha boleng ka tsela e 'ngoe e ntle le e hahang. Pulo ea dati mmuso ke tsela feela ea ho ntlafatsa thuto, ho ntlafatsa puso le ho aha lisebelisoa tsa ho rarolla mathata a mang a lefatše.
Sepheo sa mokhatlo Tlosa Boitsebiso li tšoana le tsa metsamao e meng ea "Bula".
Ho fihlella ho bulehileng ho mabapi le ho etsa hore lingoliloeng tsa thuto li fumanehe mahala ho Internet. Maemong a mang, lintho tsena li boetse li kenyelletsa lihlopha tsa dati bula, mehlala ke:
Litaba tse buletsoeng li mabapi le ho etsa hore lisebelisoa li fumanehe ho bamameli ba batho mahala.
- Tsebo e bulehileng. Open Knowledge International e buella ho buleha ho pholletsa le mefuta e mengata ea litaba tse kenyeletsang, empa e sa felle feela, tsa bula data. Likoahelo, litaba tsa saense, tsa histori, tsa libaka; e akaretsa dikahare tse kang mmino, difilimi, dibuka; e akaretsa litaba tsa mmuso le tse ling tsa tsamaiso. The bula data li kenyelelitsoe tlas'a Open Knowledge Definition, eo ho buuoang ka eona ho Science Commons protocol bakeng sa ho kenya ts'ebetsong. dati phihlello e bulehileng.
Open notebook saense e bua ka tšebeliso ea khopolo ea Tlosa Boitsebiso ho boholo ba ts'ebetso ea saense e ka khonehang, ho kenyelletsa le liteko tse hlōlehileng le dati liteko tse thata.
-Open source software e mabapi le laesense ea mohloli o bulehileng eo mananeo a khomphutha a ka ajoang 'me hangata ha a sebetsane le ona dati.
Lisebelisoa tse bulehileng tsa thuto li fumaneha ka bolokolohi ebile li na le mangolo a nang le laesense pepeneneng le boralitaba tse thusang ho ruta, ho ithuta le ho lekola, hammoho le molemong oa lipatlisiso.
-Bula lipatlisiso / saense e bulehileng / dati ea saense e bulehileng (e bulehileng science science) e bonts'a mokhoa oa ho bula le ho hokahanya lisebelisoa tsa mahlale joalo ka dati, mekhoa le lisebelisoa tse nang le mekhoa ea dati e hokahantsoe ho thusa lipatlisiso tse hlakileng, tse ka hlahisoang hape le tse fapaneng.
Mantra ea bula data : a dato ha e bulehe ke litšenyehelo bakeng sa lik'hamphani mme dati open e tlameha ho lula e theko e tlase ka linako tsohle.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Khetha litšebeletso tsa Webosaete ea Marang-rang le ho holisa k'hamphani ea hau, lefapha le le leng le fanang ka lits'ebeletso tse ngata. Re sebetsa 'moho bakeng sa kholo ea khoebo ea hau. Re sebetsa joaloka sebaka sa marang-rang e webosaete ea ho bapatsa ka marang-rang e sebaka sa marang-rang, ho theha libaka tsa marang-rang ed e-khoebo, hape e fana ka lits'ebeletso tsa placement libaka tsa marang-rang e placement e-khoebo. Re bang sebaka sa marang-rang le le leng webosaete ea ho bapatsa ka marang-rang, re hlalosa ea hau Mokhatlo oa Marang-rang bakeng sa lits'ebeletso tsa rona tse reretsoeng ho ea qetellong ea bareki, re sebetsa joalo ka Software House, Khampani ea Software, Khampani ea nts'etsopele ea software, sebaka sa marang-rang, webosaete ea ho bapatsa ka marang-rang e sebaka sa marang-rang e lefapha la puisano.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Re tsoela pele ho sebetsa saense ea data 'me re tsetela nako le chelete ho etsa lipatlisiso le nts'etsopele bakeng sa saense ea data.
Re k'hamphani e ikhethileng ho raliseng le ho kenya tšebetsong tharollo e ncha makaleng a Digital Services le Technology.
Re sebetsa le saense ea data.
Moralo, ts'ebetsong, tlhokomelo, lumella tumello ea rona ea bareki ho fihlela sepheo se behiloeng bakeng sa saense ea data.
Re etsa mohlala k'hamphaning ea hau ho latela litlhoko tsa hau mme re o latela ka likhato tse 360.
In Webosaete ea Marang-rang re etsa hore mekhoa ea hau ea khoebo e tsoaletsoe ho saense ea data.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Re sebetsa joaloka setsebi sa data 'me re tsetela nako le chelete ho etsa lipatlisiso le nts'etsopele bakeng sa saense ea data.
Re k'hamphani e ikhethileng ho raliseng le ho kenya tšebetsong tharollo e ncha makaleng a Digital Services le Technology.
Re sebetsa le saense ea data 'me re setsebi sa data.
Moralo, ts'ebetsong, tlhokomelo, lumella tumello ea rona ea bareki ho fihlela sepheo se behiloeng bakeng sa saense ea data.
Re etsa mohlala k'hamphaning ea hau ho latela litlhoko tsa hau mme re o latela ka likhato tse 360.
In Webosaete ea Marang-rang re etsa hore mekhoa ea hau ea khoebo e tsoaletsoe ho saense ea data.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Re sebetsa re le:
-hole dba oracle
-hole dba posogresql
-hole dba Tlhaloso: IBM DB2
-hole dba Saphana
-hole dba Seva ea Microsoft SQL
-hole dba Cassandra
-hole dba MongoDB
-hole dba Informix
-hole dba Moetsi oa file
-hole dba Teradata.
I dati ke oli ea millennium e ncha, empa re tsetela nako le chelete ho boleng ba data hobaneng a dato boleng bo sa boleng ke litšenyehelo ho khamphani mme dati ea boleng e tlameha ho theko e tlase le hanyane. DBA e hole Litsebi | DBA e hole Litšebeletso | Hōle Database Administrator | DBA e hole | Stefano Fantin.
Re tsetela nako le chelete lipatlisisong le nts'etsopele joalo ka hole dba.
Re fana ka likeletso hole dba.
Re k'hamphani e ikhethileng ho raliseng le ho kenya tšebetsong tharollo e ncha makaleng a Digital Services le Technology.
Re sebetsa joaloka hole dba.
Moralo, ts'ebetsong, tlhokomelo, lumella tumello ea rona ea bareki ho fihlela sepheo se behiloeng bakeng sa hole dba.
Re etsa mohlala k'hamphaning ea hau ho latela litlhoko tsa hau mme re o latela ka likhato tse 360.
In Webosaete ea Marang-rang re etsa hore mekhoa ea hau ea khoebo e tsoaletsoe ho i hole dba, ho ba hole dba litsebi. Re lumela ho nchafatsa lits'ebetso tsa khoebo ea hau ka ho li etsa tsa tlhaho ho i hole dba.
Re sebetsa re le:
-muso motsamaisi oa database oracle
-muso motsamaisi oa database posogresql
-muso motsamaisi oa database Tlhaloso: IBM DB2
-muso motsamaisi oa database Saphana
-muso motsamaisi oa database Seva ea Microsoft SQL
-muso motsamaisi oa database Cassandra
-muso motsamaisi oa database MongoDB
-muso motsamaisi oa database Informix
-muso motsamaisi oa database Moetsi oa file
-muso motsamaisi oa database Teradata.
Re Data Scientist mme re rata ho sebetsa dati.
U bothateng?
Na u felloa ke matla tlholisanong?
Na u batla tšebetso e sebetsang hantle le e nang le litšenyehelo?
Webosaete ea Marang-rang e fana ka boeletsi ba maano, saense ea data, merero ka Dintlha tse kholo Analytics, sekaseka i Dintlha tse kholo e bokelletsoeng ke k'hamphani, ho rafa data le ho boloka litlaleho dati, tlhahlobo dati, pono dati, litsebi tsa linomoro, i dati e hlahlojoa ke litsebi, bohlale ba khoebo, li-analytics tse bonoang, data e kholo analytics: boeletsi le lits'ebeliso le lisebelisoa, dbms, polokelongtshedimosetso tsamaiso ea tsamaiso, polokelo ea data, mosebetsi o felletseng Lintlha tse kholo li-analytics, li-analytics tse boletsoeng esale pele, li-analytics tse tsoetseng pele, tse tsamaisoang ke data, bula data, boleng ba data, setsebi sa data, boleng ba data. Boitsebiso ba saense. Setsebi sa litaba. Lintlha tse kholo. Lintlha tse kholo litlhahlobo. Lintlha tse kholo mohlahlobi. Lintlha tse kholo tlhahlobo. Lintlha tse kholo litlhahlobo e data e kholo tlhatlhobo. Theknoloji ea data e kholo. Merero ka data e kholo. Bohlale ba data. Lintlha li tsamaisoa. Dintlha tse kholo e ho ithuta mochine. Lintlha tse kholo le meepo ea sechaba. Merafo ea data. Bohlale ba khoebo le li analytics tsa data. Ho buisana data e kholo. Keletso saense ea data. Lintlha tse kholo Dashboard. Tlosa Boitsebiso. Bula Data Scientist. E kholo Tlosa Boitsebiso. Re sebetsa ka thata Dintlha tse kholo mme re inka re le Baholo Data Scientist. Re sebetsa ka thata Dintlha tse kholo le ea Setsebi sa Boitsebiso. Re sebetsa le Boleng ba data.Boeletsi ba maano, saense ea data, merero ka data e kholo, sekaseka i data e kholo e bokelletsoeng ke k'hamphani, ho rafa data le ho boloka litlaleho dati, tlhahlobo dati, pono dati, litsebi tsa linomoro, i dati e hlahlojoa ke litsebi, bohlale ba khoebo, li-analytics tse bonoang, data e kholo: ho buisana le lits'ebetso le lisebelisoa, dbms, polokelongtshedimosetso tsamaiso ea tsamaiso, polokelo ea data, mosebetsi o felletseng data e kholo, li-analytics tse boletsoeng esale pele, li-analytics tse tsoetseng pele, tse tsamaisoang ke data, bula data, boleng ba data, setsebi sa data, boleng ba data.
Hase feela ba haufi le rona ba re khethang.
Share:
Fumana lintlha tse ling ho Marang-rang a Marang-rang
Ingolise ho fumana lingoliloeng tsa morao-rao ka lengolo-tsoibila.
