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Kukurukurirana - 

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Today, the challenge for the big data industries, in maintaining a well run Hadoop has led to a growth of the Hadoop-as-a-service market (HaaS). Big Data Industry considered Hadoop as a key point technology for large scale kugadzirisa data asi kuronga nekuchengetedza iyo HaaS cluster hazvisi nyore kudaro.

Chii chinonzi Hadoop-as- a-service?

Mumashoko akapusa, HaaS inetiweki ye open source elements that transform technique organizations use to accumulate, practice and examine information. It makes processing data fast, cost-effective, and removing the operational channels of running Hadoop so that enterprises can stress bhizimisi growth. As HaaS is managed by the third party there’s no need for the user to invest or install further infrastructure on-premises while using the technology.

Ida zvaunoverenga? Wobva wabata chidimbu chitsva chemukati iko pano.

Mhando dzakasiyana dzechimiro uye inotsigira iyo yekupa kwaHadoop inopa inosanganisira:

  • HaaS boka rakakomberedza manejimendi
  • HaaS kuronga kurongeka kutsigira
  • chibatiso zvinhu
  • Chinjana data pakati pemasumbu
  • Substitute programming mitauro
  • Mushandisi-ane hushamwari data manenji

Chaizvoizvo, Hadoop inonyanya kusemuka kubva kune imwechete kusvika kumaseva akawanda mapurazi nega roga muunganidzwa richimhanyisa fungidziro uye chengetedzo. Icho chiri open source-based Software framework that enables the overall processing of big data quantities across the distributed cluster, provides a high opportunity at the application layers, making the nodes cost-efficient and easily interchangeable.

Uyewo Verenga: Chii chinonzi Hadoop uye zvachinja sei Data Science?

Vanotungamira vatengesi veHaaS ndiAmazon, Verizon, Qubole, Altiscale, Google gore rekuchengetedza chinongedzo cheHadoop, uye IBM Big nzwisiso.

HaaS vatengesi vari kubatsira mafemu kurarama zvinoenderana nemukurumbira weHaaS hype nekudzikisira makomputa mabhajeti. Vamwe vatengesi vegore vanopa HaaS vanosanganisira:

  • Rackspace
  • Microsoft Azure
  • HP Helion
  • EMC
  • Cask Dhata
  • MepuR
  • Hortonworks
  • Infochimps
  • Pentaho

Zvakare, kufambisa mutoro wedata kune iro gore rinogona kunge riine zvarinoreva uye zvingangoda kuwedzerwa kugona. Uye zvakare, data riri mugore rinoburitsa giravhiti uye rinotungamira kupini pasi maitiro. Pasina mubvunzo, pane akawanda mashandisiro kesi anokanganisa HaaS, saka, kune zvinokanganisa zvakare.

Uyewo Verenga: Hadoop Kugovera kweBig Data Analytics

Iwo akakosha mapoinzi anofanirwa kutariswa, kuitira kuti uongorore mupi weHadoop anosanganisira:

1. Kuchinja-chinja mukugadzirisa data:

Chinhu chakanyanya kukosha kana uchinge uchitarisa kuisirwa-gore kuisirwa ndeyekutarisa kana ichitsigira masumbu akasanduka ehuwandu hwakawanda hwekutakura.

Sarudzo yekomputa uye yekuchengetedza inotsigira akasiyana kesi dzekushandisa dzinofanirwa kuwanikwa. Sezvo chimiro cheHadoop chiri nyore kushandisa, sekuchengetwa kwese kunoitwa nehurongwa uye nekudaro hapana chikonzero chekuti mutengi agadzirise komputa yakaparadzirwa.

2. Kuenderera mberi kwekushandisa kweHDFS:

Hadoop distributed file system uses commodity direct-attached storage and shares the cost of the underlying framework. In spite of the fact that HDFS is steady and constant, data storing is not required. moreover, it can give you clear benefits when used practically and effectively. Logically, it supports YARN and MepuDeredza, facilitating it to naturally process queries and serve as a deta rekuchengeta.

3. Kurekodha Bhiri:

Mutengo wekusimbisa weanopa sevhisi (kubhadhariswa sekudyiwa kana kurairwa) unofanirwa kuve unodhura. Kunyanya kukosha, ramba uchifunga kuti mutengo wedemo unokwana nekufamba nekukurumidza kuwedzera kweData Lake.

4. Inobatsira:

For Instance, redundancy iri kuitiswa sei kana mupi anokwanisa asingamiri mashandiro? Kuti ugone kuwedzera Hadoop yakatarwa mitoro yebasa, manejimendi manejimendi anogona nyore kushanda pazvishandiso uye masisitimu anoshanda. Kuona kuti iro basa rinoshanda mushe, manejimendi anokwanisa kuwana "Non-stop oparesheni" nekutarisa kiyi mashandiro.

4.Kudikanwa kwetarenda:

Chaizvoizvo, pane mashoma mashoma masimba anodikanwa paunenge uchigadzira nharaunda yeHadoop. Pakazara, Hadoop haishande ichiburitsa sezvo dhizaini yayo yese inoda nguva uye kugona.

5. Fast Dhata processor:

Nekuda kwekukwanisa kuita zvakafanana kugadzirisa, Hadoop inoonekwa zvakanyanya kwazvo pakukwirisa vhoriyamu Iyo inogona kuita batch maitiro nekukurumidza zvakanyanya pane pane mainframe. Sezvo kudiwa kwekuongorora iyo hombe dhata nhasi kwave kwakanyanya kunetsa zuva nezuva, Hadoop inoratidzwa kuve inomhanyisa Data processor.

6. Kugadzikana:

Hadoop ipuratifomu inotyisa kwazvo inomhanya pane indasitiri-yakajairika Hardware. Nyowani nyowani inogona kuwedzerwa zviri nyore kune maodhi pasina kuzorora.

7. Mari-Inobudirira:

Hadoop inoderedza mutengo wehunyanzvi nekuunza yakanyanya yakafanana komputa kune zvigadzirwa zvigadzirwa, zvichikonzera kudzikiswa, nokudaro zvichiita kuti zvive zvine musoro kuteedzera yako yese data.

Hadoop is a java based Software framework as it stores as it distributes a large set of data across different servers. It is an open-source, comprised of two parts:

(i) HDFS- Hadoop Distributed File System, chikamu chekuchengetedza.

(Ii)MepuDeredza – the processing Part.

Uyewo Verenga: Elastic Tsvaga Vs Hadoop Mepu Dzikisira Ongororo

Zvakanakira Hadoop Zvipiriso

Makambani anomhanyisa Hadoop akadzidza kuti ayo akaparadzirwa hunhu, kumisikidzwa, kuwanikwa kwehuwandu hwebasa uye manejimendi aro ezvivakwa zvinonetsa uye zvinodhura kuzvichengeta. Nekudaro, Hadoop inokunda zvese izvi matambudziko nekupa izvi mabhenefiti:

  • Nyore kushandisa
  • Kutsungirira kutadza
  • Yakapusa, inokurumidza, uye inochinjika
  • Comprehensive authentication and chibatiso
  • Yakakura data Kuvimbika
  • Yakanyanya Mari- inoshanda

Uyezve Verenga- Flume Vs. Kafka Vs. Kinesis: Tungamira pane Hadoop Ingestion maturusi

Maitiro eHadoop-se-se-sevhisi Kutumirwa

Mhanya iwe pachako (RIY):

Aya masevhisi anoda kuwanda kunoitwa nemaoko kupindira kubata akakura ebasa basa sezvo RIY mhinduro dzinoda Hadoop hunyanzvi kuronga uye kushanda.

Kutamba Kwakachena (PP):

Conversely, the Pre Play service doesn’t require hand-operated intervention to configure when the data size extents or contracts. It also provides the user with a non- technical interface to use HDaaS without understanding the underlying Software. Firms do need Hadoop expertise, as it has a well-managed environment for customers in pure-play HDaaS offerings.

Users are conscious to process their big data by smoothly blending HaaS with a service technology. Not anymore do the users have to limit by Hadoop’s barriers to entry.

On the other hand, Hadoop’s power allows you to process your big data boundlessly. You can process any structure of data you require without reprogramming your entire system and also can add nodes. It is only suitable until you ascertain the need to train or pay someone in order to create the system, also admitting the fact that someone has to be payroll to maintain it.

Data collection is growing rapidly today by jump and bounds. You don’t have to wait for the system to be built, by using Hadoop as services, as it has become essential for companies to be able to use that data if they want to keep up with the competition. Instead of constructing and maintaining a data center, your resources can be directly reclassified to another bhizimisi ronga.

Une chirongwa chitsva kana chakanamatira? Wobva watambanudzira kwatiri kubvunza.

Tags:

Anurag Rastogi

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