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1 Dec 2017

Izinto ze-10 Okufanele Uzazi Ngo-R, Python, no-Hadoop

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ithunyelwe ngu

Izizathu ze-10 Okufuneka Ufunde R, Python, neHadoop

I-Domain Analytics Domain iyaqhubeka idlula kwizilwanyana kwi-Software njengeNkonzo, okanye ii-SaaS, njengoko siyazi kakuhle. Wonke umntu kufuneka aphule Idatha enkulu and they have a ton of openings for work on the ascent. However, making stepping forward into Data Sciences it is basic to comprehend what it is and which Data Science Certification to settle on. This is the place R, Python and Hadoop kungena kwaye zizinto ezilishumi ezikhuthazayo zokubazi. Ezi ziyiziqulatho zeziprogram ezifanele zifundwe ukuba ziphule kwi-nkcukacha yezobugcisa zenzululwazi, ezibandakanya amagama abetha njengeGoogle, iBan of America kunye neNew York Times.

Ukufikeleleka:Unjani omnye umxhasi ekulindeleke ukuba afunde? R, umzekelo, avunyelwe ukuba angenise kwaye asebenze kwaye oko kunika umxhasi igunya lokuhlala kwaye ufumane malunga nayo nayiphi na indawo. Python, kwakhona, akufuneki ukufundwa kwaye abanye bathi yinto ecacileyo kakhulu yokubhala iilwimi. Hadoop, kwakhona, kufumaneka kwiinkqubo ezivulekileyo zendalo, okwenza kube lula ukufikelela. Ukuxhomekeke kwindawo yokuhlala yakho, umthengi unokusebenzisa nayiphi na. Elula

Uphuhliso: Ngokubhekiselele ekubhalisweni kolwazi, ezi ntetho ezintathu ezivulekileyo zeprogram zivulekile. Ukumelwa kokungenisa ulwazi, i-MapReduce kunye ne-Processing efanayo kuya kufezwa ngokugqibeleleyo kunye nabo, njengokuba umphumo wokubandakanya amanyathelo okuphanda kufuneka ahlaziywe ngokuqhubekayo, kwakhona afunwa ngaphantsi.

Platform: Iindidi zezicwangciso zingasetyenziselwa zonke izigaba, ezifana neWindows, i-Mac OS X, i-Linux kunye neyona mibini ngaphezulu, evumela ukuba abathengi bazalise umsebenzi wabo kunoma iyiphi igajethi. Abaqulunqi be-R kunye nePython njengamanje bacinga ngeendlela zokulawula ubuninzi beenkcukacha eziphambili kwiinqanaba ezikhudlwana, kwaye bathabathe iphosi kwiSQL kunye ne-NoSQL yolwazi.

Ukungaqiniseki okwenziwa lula: Ezi zintathu zokubhala iinkqubo zisetyenziselwa ukunyamekela ulwazi olunzulu nolunzima, olubizwa ngokuba yiDig Data. Ukuphindaphinda kunzima kwaye kunzima kunokwenzeka ukuba kunokwenzeka ngokulula ngokusetyenziswa kwezi ntetho, kumaqela aphakamileyo okanye ngabaprojekthi abaninzi. I-Python ibhubhisa ulwazi olugqwesileyo kunanto nayiphi na R kodwa ke zombini ixubusha kakuhle Hadoop, ukunika abathengi ukhetho ngokuxhomekeke kumacandelo ahlukeneyo ukukhetha ukuba ngubani oza kusebenza naye.

Ukwamkeleka Okumangalisayo: Ngelo nani elininzi leenzuzo, abadibeneyo baye bandisa kwi-recognition yebhodi kunye nabaxhasi be-2 abaxhasi basebenzisa umhlaba ngelixa bephethe ulwazi lwezesayensi. Ukususela ngoku i-R iye yanda kwi-board yexabiso, i-Oracle, i-SAP, i-Netezza kunye ne-Teredata sele iqalile ukudala ii-interfaces ezisebenzisa i-R njengenkxaso yesayensi.

Ukuphuculwa okulinganayo: Naluphina uphuculo olutsha lweenkqubo zokuhlaziywa ngokutsha ngokuqinisekileyo luyenzeka ngokukodwa kwezi zintetho ezi zintathu kuba zizona zize ziphuhliswe kwaye zilungelelanise. Ngeentuthuko ezintsha ezinjenge-ff kunye ne-bigmemory, ngoku kukhangeleka ukulawula iifasethi ezinkulu kuneememori. I-Python ichitha ulwazi ngokubanzi ngokuchanekileyo nangokuvumelanisa kunye Hadoop ngumvuzo okhethekileyo.

Ukulula koPapasho: Ekubeni iilwimi ezidibeneyo zibandakanya kakuhle kunye nerekhodi yokusabalalisa, ziyi-pick top top pick. Ukubambelela ngokukodwa kunye ne-LaTeX iirekhodi zokusabalalisa kunye necandelo lokufakwa kwiingxelo zokuphatha amagama likhulu kakhulu ngaphezu kwendawo. Wonke umntu ochazayo unesistim ebonakalayo sezinto eziphilayo, okwenza kube lula ukusabalalisa nokusingatha imiqulu eninzi yolwazi.

Kulula ukuyisebenzisa: R, Hadoop and Python are easy to understand and underpins the import of information from Microsoft Excel, Access, MySQL, SQLite and Oracle, permitting any client with any product to work without obstacle. Python sele isetyenziswe ngempumelelo kwiCandelo loCwangciso loLwimi kunye neApache Spark lenze ulwazi lufumaneke Hadoop bunches more effectively open.

Ukuhlela: Community connections and systems administration is an imperative part of any worldwide association and enthusiastic clients are continually interfacing over structures to talk about these dialects more than whatever else, guaranteeing a consistent trade of positive data. The recently propelled Anaconda allocate has more than 300 or more bundles that has gathered rave surveys from clients worldwide in their discussion, egging them on for future bundles.

Simple Debugging: Scanning and investigating is less demanding with these dialects than others in light of the fact that most troubleshooting devices are made in consistence with these dialects, permitting clients to set things ideal with more noteworthy proficiency. Each dialect has its own particular advantages and disadvantages but one might say that R, IPython neHadoop arrangements are as well as can be expected use to keep your frameworks safe and the best alternative in the event that you need to go for an entire framework redesign.

Shiya iMpendulo

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