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Se Taʻiala Taʻiala mo le faʻafoeina o le pule
8 Laitiiti 2017

Hadoop Administration - A Complete Guide

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lafoina Saunia

Se Taʻiala Taʻiala mo le faʻafoeina o le pule

I le sili atu i 5 tausaga, o Hadoop na o ia lava e faʻaaogaina le tele o vaega o faʻamaumauga a le lalolagi. O le tekonolosi fou e vevela, ma o kamupani o loʻo matua manaomia le manaomia o sui tauva o loʻo i ai le faʻamaoniga Hadoop.

Folasaga i Hadoop

O le polokalame Java programming system Hadoop e faigofie lava ona tatala-punavai ma ua fuafuaina mo le sauniaina o faʻamaumauga tele ma tetele o loʻo maua i totonu o le PC. Aʻo faʻaogaina e Hadoop auʻaunaga tauagafau mo le sauniaina o faʻamaumauga, kamupani ma faʻalapotopotoga faʻapitoa ma taulaʻi agai i le faʻataʻitaʻiga mo lona tau e mafai ona totogi. E ese le lelei o le faʻatulagaina o taʻiala e aofia ai le faʻapipiʻiina o le tuʻuina atu o ituaiga faʻamatalaga faʻasalalau tufatufaina atu, lautele, faʻamautuina o nofoaga o faʻamatalaga, lagolago o le tele o fatufiti, ma le puleaina o failo i se auala faʻapitoa.

O vaega autu o 2 o le pulega o le Hadoop e aofia ai MapReduce ma HDFS. Hadoop vaevaega vaega taitasi o faʻamatalaga alualu i luma i totonu o ni faʻamaumauga laiti laiti poʻo ni mūmū ma o nei faʻamaumauga o loʻo tuʻuina atu i totonu o vavae eseese ma eseese, o loʻo i totonu o kulupu. O Hadoop o se taimi sili ona lelei ma taimi o le tuʻuina atu o faʻamaumauga tele pe laiti i luga o le mafaufau o le liʻo e laʻititi lava. Hopaop foi e faʻapipiʻi faʻamatalaga uma i masini eseese o loʻo i totonu o le kulupu ma le kopi na faia e tuusaʻo saʻo i le vaega o le faʻasologa. Aʻo mafai ona faigofie ona saunia faʻamatalaga eseese o faʻamatalaga i le taimi e tasi, e faʻaititia le taimi e faʻaaoga ai faʻamatalaga.

Ole faʻamaoniaga o Hadoop ua faʻaalia ai e mafai ona e faʻaaogaina le faʻatulagaina o faʻamaumauga mo le faʻateleina o le gaosiga o se faʻalapotopotoga. O Kamupani o loʻo sailia i taimi nei i latou o loʻo umia faʻamaumauga o Hadoop, o loʻo faʻaalia ai le faʻamaoni ma tomai o loʻo ia te oe e lelei mo le faia o noataga o galuega e fesoʻotaʻi ma Big Data handling.

Aisea e faʻamaonia ai le faʻamaonia o lau galuega?

O Hadoop o le auala fou e taulimaina ai faʻamatalaga tetele, ma o poloketi faʻapolopolo a Hadoop e manaʻomia i inisiua, soifua maloloina, tupe, faʻatau, malosi ma le tele o pisinisi pisinisi ma laina. O le faʻatinoina o Hadoop ua matua aoga lava ma e tele le aufaipisinisi IT ua suia a latou ala faigaluega ina ia mafai ai ona faʻaogaina le tekinolosi fou. Hadoop o loʻo faʻamanuiaina i le Mainframe, Java, ma Faletupe Faʻamaumauga ma i le lumanaʻi o le lumanaʻi, o le fausaga fou o le a avea ma faaiuga autu i le suʻesuʻeina o faʻamaumauga ma sauniuni.

Faʻapitoa o aʻoaʻoga a le Hadoop

O toleniga a le Hadoop ma le faʻamaoniaga e i ai le tele o tulaga lelei mo polofesa tomai faʻapitoa o le IT ma freshers.

  • O le tusi faamaonia o loʻo manaʻomia ma o loʻo galulue faʻamalosi le kamupani mo sui o loʻo i ai le faʻamaonia ma le malosi o Hadoop.
  • O le faʻamaoniga a le Hadoop ua faʻaalia ia te oe le totogi ma le tulaga maualuga, ma e mafai ona sili atu nai lo isi pe a maeʻa ona pasia lelei le vasega.
  • O na fou i le Hadoop framework ma le tulaga e mafai ona pasi le tusi faamaonia ma maua ai mea e manaʻomia ma faʻamatalaga i le faʻatagaina i le faʻavae ma lona faʻatinoga.
  • Aʻo avea le aʻoga ma taimi moni ma faʻamalosia oe e taulimaina tulaga moni o le lalolagi ma faʻamaumauga, o le faʻamaoniga e faʻaalia ai o loʻo i ai ou lima i lalo o le aʻafiaga i vaega o loʻo mananaʻo.
  • Faʻaalia o loʻo e nofouta i itu uma o tekinolosi lata mai ma e mafai ona fesoasoani i le toleniina o isi pe a faʻafaigaluega e se kamupani.

Laasaga i lea laasaga i lea laasaga e sauniuni ai mo faʻamaumauga a Hadoop

O le aʻoaʻoga o le certification Hadoop e aofia ai le 30 itula o luga o le initaneti ma ola aʻoaʻoga lea ua faʻatulagaina ma tuʻuina atu e aʻoaʻoga, faʻatagaina ma faʻamaonia Instructors. E mafai ona e maua se fetuutuunaiga i taimi e te manaʻo ai e aʻoaʻo le vasega. E tatau foi ona e faia tofitofiga, ma o le mataupu moni o le olaga e taulai atu i le fesoasoani e te maua ai le lima i le tulaga moni o le lalolagi. E i ai ni nai faʻafitauli e manaʻomia i le aʻoaʻoina o le kosi, i le avea ai o se taʻiala taʻutaʻua i le initaneti o le a ofoina atu ia te oe le 24 * 7 o loʻo avanoa i luga o le initaneti e sau sao mai i tagata tomai faapitoa. E mafai foi ona e talanoa i talanoaga pe mafai ona e fiafia i le taiala e tufatufa atu fegalegaleaiga ma faasoa atu lou malamalamaaga ao e maua mai i feiloaiga a isi. E ese mai i nei lelei ma aoga aoga aʻoaʻoga, e mafai foi ona e maua le fausaga o le pulega o aoaoga, lea e faaleleia ai pea ou malamalamaaga ma tomai ma mafua ai ona e tumau i mea e sili ona lata mai ma suiga e faatatau i Hadoop.

Faʻaaogaina o aʻoaʻoga

O matāʻupu autu ma autu na faʻamaonia e le Hadoop certification course e aofia ai:

  • Faʻafanua Hadoop ma Big Data
  • HDFS
  • MapReduce fausaga
  • ofaga
  • Pig
  • Advanced HBase ma Hive
  • Advanced HBase
  • Hadoop ma Oozie
  • Faʻasalalau ma faʻasalalauga o faʻamaumauga e ala i le faʻaaogaina o Apache Spark

O le faʻaogaina o aʻoaʻoga i le initaneti o le a faʻatūina ai le masini masini i totonu o lau faʻalapotopotoga PC ma o le a tuʻuina atu oe i avanoa faʻapitonuʻu. O le LMS poʻo le System System Management System o le ai ai faʻamatalaga uma e sii mai ma faʻapipiʻiina e tatau ona e mauaina le vasega. O faʻataʻitaʻiga o aʻoga o le a oʻo atu ia te oe i le maeʻa o le vasega ma o le a faʻaaogaina le ata o le oneone e pei o HIVE, PIG, MapReduce ma HBase mo le faia o faʻamaumauga i luga o le Big Data i le taimi moni. O nei suʻesuʻega faʻapitoa e faʻapitoa pisinisi-e patino ma e fesoʻotaʻi ma le pisinisi e aofia ai le aufaasālalau, vaalele, faʻatau, tupe, ma isi.

As all the teaching and training session are put away inside the LMS, you won’t be feeling the loss of any of the classes and can experience them at any time you wish. Apart from the LMS, the live sessions also run the classes again for the distinctive batches and you can learn the subjects that you have missed in the following address or class session.

O a mea e manaʻomia mo Hadoop Certification?

E ui e leai ni manaʻoga e filifili ai mo le faʻamaoniaga Hadoop, e sili atu i le avanoa e maua ai faʻamatalaga e fesoʻotaʻi ma SL ma Core Java. E mafai ona e aʻoaʻoina le aano o Java pe mafai foi ona faʻataʻitaʻia i latou e ala i le auai i se isi auala le tumau.

E te manaʻomia se PC faʻatasi ma le 4 GB o le RAM, faʻatasi ai ma le processor i3 (poʻo le sili atu foi) i le initaneti ma ia aʻoaʻoina lelei. I le tulaga ua e le ausia le tasi o mea e manaʻomia, e mafai foi ona tuʻuina atu oe i se vaega mamao i le vaega Hadoop e ala i lau faʻamaoniga tusiga.

Aiseā e tatau ai i le Hadoop Training ona mo lau galuega?

O kamupani aupito sili ona lelei a le lalolagi, e aofia ai le MNC o le telē tele latou te manaʻomia tomai faʻapitoa e mafai ona latou pulea le tele o faʻamaumauga latou te faʻaaoga pe teuina. O le tele o le tele o faʻamatalaga e mafai ona matua malosi ma aveesea mai le saʻo ma saʻo faamatalaga mai lea mea e mafai ona avea o se galuega faigata. O tagata taʻitoʻatasi e pasi faʻamaonia le Tusi Faamaonia Hadoop e mafai lelei ona ausia le sini nai lo le faigofie. E pei ona maua e le faʻavae Hadoop le avanoa e faʻateleina ai le faʻaauau ma le lautele i vaiaso taʻitasi ma le masina, o se tusi faamaonia i lenei vaega e mafai ona faʻamatala atu ia te oe le tele o taunuʻuga i le tulaga faʻapitoa.

Nofoaga faʻapitoa mo aʻoaʻoga e uiga i le tuʻufaʻatasia uma oe Big Data e saunia ai tomai ma sini e avea oe ma se faʻamautinoa Big Data practitioner. O lima i lalo o aʻoaʻoga e fesoʻotaʻi ma taualumaga na talia ma le siosiomaga o MapReduce, HDFS, HBase, Pig, Hive, Sqoop, Oozie ma isi faʻatautaia o faʻamaumauga. O aʻoaʻoga faʻapitoa e tuʻuina atu ia te oe tomai talafeagai ma aʻoaʻo i vaega e aofia ai:

  • Eseese ituaiga o faʻamaumauga
  • Malamalama i le faʻafanua Hadoop 2x
  • Seti o le vaega Hadoop ma le fatuina o le mafaufau mafaufauga faʻataʻatia mapiga faʻaitiitia polokalama
  • Amata i faʻamaumauga o faʻamatalaga e ala i le faʻaaogaina o Hive, Pig, ma YARN i totonu o faʻataʻitaʻiga eseese ma faʻataʻitaʻiga
  • Faʻapitoaina o Faʻafanua Faʻaitiitia ma faʻatinoina le H Base
  • Fuafuaina o galuega e ala i Oozie
  • Galulue i le RDD malamalama i le Spark ma lona faʻaogaina o meaola
  • O le aveina o se fana i le mea moni na faʻalauteleina ma suʻesuʻeina auʻiliʻiliga e fesoʻotaʻi ma faʻamatalaga tetele.

Late studies also indicate that the importance of Hadoop as a Big Data handling framework is just going to increase in near future. Reports say that Hadoop market will be around $99.31 billion before the yearXCHARXs over 2022, and will develop at a rate of around 42.1 in near future.

O le aʻoaʻoina o faʻamatalaga tetele ma le Hadoop e fua tele mo freshers faapea foi ma tagata tomai faapitoa i IT. Inisinia, tusiata, suʻega, BI, DDW, ma le ETL faʻapolofesa e mafai ona aʻoaʻo uma e faʻalauteleina o latou tomai ma faʻaogaina i le tele o faʻamatalaga o faʻamatalaga.

Faʻamaumauga Faʻamaumauga o Hatoop

O le pule o le initaneti i luga o le initaneti o le a suʻesuʻeina lau pisinisi mulimuli, ma i luga o le avanoa e te pasi lelei ai le tusi faamaonia, o le a tuʻuina atu ia te oe le faʻamaumauga Big Data ma Hadoop. O le tusi faamaonia e talisapaia ai le faailoaina ma le taliaina tele. O le tele o kamupani taʻutaʻua ma MNC o paaga aʻoaʻoga ia o taʻaloga faʻapitoa i luga o le initaneti ma aʻoaʻoga faʻavae, ma e aofia ai le Wipro, Nokia, Cisco, Ford, IBM ma isi. E mafai ona e faʻamaonia mulimuli ane o lau tusi faamaonia e moni ma o le a tuʻuina atu ia te oe se galuega o le maualuga ma le totogi.

O le faʻamaoniga a Hadoop o le a mafai ai ona e agavaa mo se totogi o le $ 98 k poʻo le alualu i luma ma faʻatasi ai ma le poto masani, o le totogi e faʻateleina. E sili atu nai lo le 4.4 miliona galuega tetele mo oe i le taimi nei, ma o faitotoa tatala ua faateleina i le fua faatatau o le 12%. E sili atu ona lelei le aufaasese ma le sili atu ona vaʻaia pe a uma ona fausia faʻamaumauga i aso nei, ma e mafai ona e auai i le taʻavale i le taimi nei e suʻe ai ni matai fou.

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