Chii Chaicho Chaicho 'Big Data'?

Uye Nei Ichi Chiito Chinokosha?

'Big data' ndiyo itsva yekuziva nokunzwisisa uye kufanotaura maitiro evanhu kuburikidza nekudzidza zvikamu zvakawanda zvemashoko asina kuumbwa. Nhamba huru iyo inozivikanwawo se 'predictive analytics'.

Kuongorora mifananidzo ye Twitter, Facebook feeds, eBay tsvakurudzo, GPS vateereri, uye ma ATM mimwe mienzaniso mikuru ye data. Kudzidza mavhidhiyo ekuchengetedza, dhigwai data, mamiriro emamiriro ekunze, vatasvi vendiza, matanda emasitereti emusasa, uye moyo yevanotengesa mwoyo ndevamwe maitiro. Dhavhidha yakawanda inyanzvi itsva yesayenzi inoshanduka vhiki nevhiki, uye vadzidzisi vashomanana chete vanozvinzwisisa zvose.

Ndezvipi Mimwe Mienzaniso Yezvinyorwa Zvitsva Mukugara Muupenyu?

screenshot http://project.wnyc.org/transit-time

Kunyange zvazvo hurukuro dzakawanda dzekushandiswa kwezvinhu zvisinganyatsozivikanwi, pane mienzaniso yakabudirira yehuwandu hwemashoko hune hupenyu hwezuva nezuva hwevanhu, makambani, uye hurumende:

Kufanotaurira hutachiona hunoputika: nekudzidza nhepfenyuro-zvematongerwo enyika, dhimo nemamiriro ekutsvaga kwemamiriro ekunze, uye chipatara / chipatara data, idzi masayendisiti ari kunyatsofanotaura dengue fever kuputika ne 4 mavhiki asati aona.

Kuzviuraya: Kukurukurwa kwepurojekiti iyi yepurojekiti inouraya avo vanopomerwa, vanofungidzirwa, uye mhombwe muWashington, DC. Vose sevari nzira yekukudza munhu akafa uye senzvimbo yekuziva vanhu, iyi huru basa rekuita inonakidza.

Transit Travel Planning, NYC: Purogiramu yeWNYC yepurogiramu Steve Melendez yakabatanidza subway program iri paIndaneti nekufambisa mafirimu software. Zvisikwa zvake zvinoita kuti New Yorkers vatsve nzvimbo yavo pamepu, uye kufanotaura kwekufamba nguva yezvitima uye gwagwa rinoyerera richaonekwa.

Xerox yakaderedza basa ravo kurasikirwa: basa rekufambisa kwepakati rinotyisa. Xerox yakadzidza zvinyorwa zvemashoko pamwe nekubatsirwa nevanyanzvi vezvidzidzo, uye iye zvino vanogona kufanotaura kuti zvipi zvekufambiswa kwemahofisi inogona kugara nekambani kwenguva refu.

Kutsigira kupesana kwehugandanga: kuburikidza nekudzidza zvemagariro ehupfumi, zvinyorwa zvemari, kushandiswa kwechikwata, uye kuchengetedzwa kwemashoko, kutevedza mutemo kunogona kufanotaura uye kutsvaga vatongi vegandanga vasati vaita mabasa avo akaipa.

Kugadzirisa marangire ekutsvaga kubva pane zvekugarisana kwevekuchengetedzwa kwevanhu : vanhu vasinganzwisisi uye nekukurumidzira kugovera pfungwa dzavo paIndaneti pane pebhu, muresitorendi, kana mukati wechirwere. Zvinokwanisika kudzidza idzi mamiriyoni ezvinyorwa zvehupfumi uye kupa mhinduro kune kambani pane izvo vanhu vanofunga nezvemabasa avo.

Ndiani Anoshandisa Nyaya Dzakawanda? Vanoitei Nezvo?

Mazhinji emabhizimisi e-monolithic anoshandisa dhi data kuti agadzirise zvipo zvavo uye matengo kuti kuwedzere kugutsikana kwekambani.

Nei Chirongwa Chikuru Chine Basa Guru?

4 zvinhu zvinokonzera makuru makuru:

1. Dhiyabhorosi yakawanda. Izvo hazvikwanisi pane imwe chete dhirairi , kunyanya tsvimbo ye USB . Nhamba ye data yakanyanya kupfuura izvo pfungwa dzevanhu dzinogona kuona (funga nezvemamiriyoni mabhiriyoni megabytes, uye wozowedzera izvozvo nemabhiriyoni akawanda).

2. Nyaya inotyisa uye isina kusimbiswa. 50% kusvika ku80% yebasa guru rekushanda basa rinoshandura nekuchenesa ruzivo kuitira kuti rutsvakwe uye ruchengetedzwe. Ndiwo mashomanana mashoma masayendisiti pasi redu akanyatsoziva nzira yekuita izvi zvakanatswa deta. Idzi nyanzvi dzinodawo zvishandiso zvakanyanya, zvakadai seHPE neHadoop, kuita basa ravo. Zvichida mumakore 10, mazamu makuru edzidziro achava dime gumi nemaviri, asi iye zvino, ivo vasati vashoma mhando dzemutsananguri uye basa ravo richiri kunyanya kujeka uye kunetsa.

3. Dhiyabhorosi yava chinhu chakanaka ** chinogona kutengeswa uye kutengwa. Nzvimbo dzekutengesa dhiyabhorosi dziripo apo makambani uye vanhu vanogona kutenga zvigaro zvebasa rezvemagariro evanhu uye mamwe mashoko. Yakawanda ye data ndeye-cloud-based, sezvo yakareba zvikuru kuti ishande pane chero imwe dhayi diski. Kutenga dare kunowanzobatanidza mari yekubhadhara apo iwe unowedzera mufesa yefu yefu.

** Vatungamiri vezvinhu zvikuru zvekushandisa zvido uye mazano maAngland, Google, Facebook, uye Yahoo. Nemhaka yekuti makambani aya anoshumira mamiriyoni evanhu akawanda ane maitirwo epaIndaneti, zvinonzwisisika kuti vaizove nharo yekuunganidza uye vanoona nezvemashure makuru makuru ekuongorora.

4. Mikana yehurukuro huru haigone. Zvichida vanachiremba rimwe zuva vanofanotaura kushungurudzwa kwemwoyo uye kurohwa kwemavhiki mashoma vasati vaitika. Ndege uye kuputika kwemotokari kunogona kuderedzwa nekufungidzira kunofanirwa kwezvinyorwa zvemichina yavo uye motokari uye mamiriro ekunze. Kufambidzana neIndaneti kunogona kuvandudzwa nekuve nehukuru hwekufungidzira kwehupi huri hukama hunoenderana newe. Vanyori vangawana ruzivo rwekunyorwa kwemimhanzi ndicho chinonakidza zvikuru kuchinja kwezvinhu zvevateereri vechirwere. Vanodya mishonga vanogona kukwanisa kufanotaura kuti kusanganiswa kwezvokudya zvakatengwa kunowedzera kana kubatsira mamiriro ekurapa emunhu. Nzvimbo yacho yakangove yakatsvairwa, uye kuwanikwa mune zvakawanda zvingaitika vhiki rese.

Big Data Is Messy

Monty Rakusen / Getty

Big data is predictive analytics: kuchinjwa kwemashoko makuru asina kusimbiswa mune chimwe chinhu chinotsvaga uye chinogadziriswa. Iyi inzvimbo yakavhiringidza uye yakaipa iyo inoda rudzi rukuru rwezivo uye kushivirira.

Tora somuenzaniso monolithic UPS yokupa basa. Vapurogiramu vekutsvaga kweUPS zvinyorwa kubva kune GPS dzavo dzevatyairi uye mafoni kuti vaongorore nzira dzakanakisisa dzekugadzirisa kushambadzira kwemigwagwa. Iyi GPS uye data ye-smartphone ndeye gargantuan, uye kwete zvigadzirira kugadziriswa. Iyi dhairi inodurura kubva kune dzakasiyana-siyana dze GPS uye mapepa epa mapu, kuburikidza nemichina yakasiyana-siyana yehudhi hardware. Vashandi veUPS vakashandisa mwedzi yakawanda kuti vashandise dhese iyo muyimiro inogona kutsvaga nekusarudzwa nyore nyore. Kuedza kwave kwakakosha, kunyange zvakadaro. Nhasi, UPS yakachengetedza mabhiriyoni mazana mana emafuta emotokari kubvira pavakatanga kushandisa idzi huru data analytics.

Nemhaka yekuti deta huru yakashata uye inoda kuedza kwakanyanya kugadzirisa nekugadzirira kushandiswa, dhemasayendisiti akave akatumidza zita rokuti 'data janitors' nokuda kwebasa rose rakaoma ravanoita. A

Sayenzi yemakuru makuru uye predictive analytics iri kubudirira vhiki rese, kunyange zvakadaro. Tarisira kuti deta yakawanda ive nyore kusvika kuvanhu vose gore ra2025.

Handizi Big Data inopisa Dambudziko reKunyarara?

Feingersh / Getty

Hongu, kana mitemo yedu uye kuchengetedzwa kwemunhu oga zvisina kunyatsogadziriswa, ipapo makuru makuru anowanikwa mumunhu oga. Sezvinomiririra, Google neYouTube uye Facebook zvinove zviri kutarisira tsika dzako dzezuva nezuva . Nhare yako nehupenyu hwemakombiyuta inosiya maziso ejeri zuva rega rega, uye makambani akaoma vari kudzidza zvidzidzo izvi.

Mitemo yakapoteredza dhamato huru iri kuchinja. Kuzvimiririra mamiriro ezvinhu ekuti iwe unofanira kunge iwe zvino uchatora mutoro wega wega, sezvo iwe usingakwanisi kutarisira kuti sechinhu chisina kukwana.

Zvaunogona kuita kuti udzivirire unhu hwako:

Nhanho huru pane imwe chete yaunogona kutora ndeyokuvhara maitiro ako ezuva nezuva uchishandisa VPN network connection . Basa reVPN rinoparadza chiratidzo chako kuitira kuti uzive uye nzvimbo yako inenge yakasvibiswa zvishoma kubva kune vatengesi. Izvi hazvingakuiti iwe 100% isingazivikanwi, asi VPN inoderedza zvakanyanya kuti nyika inogona kuona sei maitiro ako eIndaneti.

Ndekupi Kwandinogona Kudzidza Zvakawanda Pamusoro Pekukuru Dhidhiyo

Monty Raskusen / Getty

Big data chinhu chinonakidza kune vanhu vane pfungwa dzekuongorora uye vanoda zve tech. Kana iwe ndiwe, saka zvirokwazvo shanyira peji ino yezviitiko zvekushandisa zvakanyanya.