Cas cov ntaub ntawv qhib Platform simplifies tu Hadoop?

Open Data Platform and Hadoop adoption

Qhib cov ntaub ntawv Platform thiab Hadoop tu

Txheej txheem cej luam

Cov ntaub ntawv qhib Platform (ODP) ib qho kev lag luam teg num kws tsom rua simplifying mus tu rau Apache Hadoop ntawm tus Enterprise thiab enabling loj cov ntsiab lojhlob uas zoo ecosystem interoperability.

Thaum txog qhov ua tau zoo ntawm lub moj khaum Apache Hadoop. Obviously, lub proponents ntawm cov ODP siv tias yuav nqa tau ntau cov kev pab cuam rau cov neeg uas puag nws, tab sis, tsis yog txhua leej txhua tus yog convinced. Muaj tshwm ua fem feeb ntawm xaiv ODP thiab Apache Hadoop txhais tau hais tias lawv muaj yees lig ntau los yog cov ntsiab lus ntau. Nws yog hnub ODP tseem ntxov thiab yuav muab nthuav kom pom li cas qhov kev lag luam embraces (los yog plab tsis) lub ODP.








Lub Changer mas: Zoo sab

Cov loj rog beckoning cov teg num OPD yog tus loj players–GE, Hortonworks, IBM, Infosys, Pivotal, SAS, AltiScale, Capgemini, CenturyLink, EMC, Teradata, Splunk, Verizon thiab VMware thiab tshaj ntawd ob peb. Cov tub ntxhais hom phiaj yog mus leverage qhib tau qhov twg los thiab nthuav tswv yim mus ntxiv lawm leeb Apache Hadoop thiab nce ntaiv loj cov ntaub ntawv yuav nce ib qib.

Teg num qhov no xwb ib changer mas raws li txoj kev xav yuav ntawm tsis zoo xwb tus neeg muag khoom, tiam sis kuj rau cov neeg siv kawg addresses nws. Needless hais, Nws tseem zoo nkauj npaum kws dlhos nrog lub Apache Software Foundation (ASF) txheej txheem nws tau leverages rau txoj kev koom tes rau qhov tej yaam num Apache thiab tej ntawd ntxiv lawm. Lub ODP muab lub platform qhib ke lub zej zog kws los ua ib tug lej.

Nrog cov qhaib nrog rau tus neeg muag khoom, kev pab cuam thiab cov neeg siv cov Apache Hadoop, cov OPD kom fragmentation thiab leeb uas hla lub Apache aims Hadoop ecosystem.

Ntawm ODP no ua hauj lwm nrog ntsees Apache, khaws cia ua view cov txheej txheem Apache Software Foundation pab txhawb tswv yim thiab kev cai yuav ua li cas. Lub hom phiaj yog yuav txhim khu compatibility thiab standardize rau apps los yog lwm yam cuab yeej khiav ntawm txhua txoj kev.

Tus lwm nthuav nam yog li cas koj standardize txiag cov kev ua ntawm Hadoop los sis lwm cov tshuab loj-cov ntsiab.

Cov chaw ib ncig uas ODP ua hauj lwm los ntawm ua kom pom tseeb lub ntsiab:

  • Muaj ib lub ecosystem qhib los rau cov ntaub ntawv loj
  • Ua catalyst Hadoop thiab me nyuam los tu tej ntaub ntawv loj
  • Standardize rau Apache Hadoop ecosystem
  • Standardize txiag hom rau daim ntaub ntawv
  • Txais yuav cov ntaub ntawv loj zoo dua thiab analytical software txhawb nqa kev siv cov ntaub ntawv-uas tau tsav

Raws li kev pab yuav siv tau rau cov ODP:

  • R qaub&D cov nqi rau cov neeg muag khoom thiab cov chaw muab tshuaj
  • Paub interoperability
  • Standardize rau yav tom ntej Hadoop distributions
Yuav tsum nyeem – Loj cov ntaub ntawv kawm tau zoo nyob rau hauv cov huab Platform

Tsis pom Buzz hauv khw: Flip sab

Hos lwm cov players nram khw saib ODP txawv. Raws li cov players, yog tus ODP:

  • Redundant Apache Software Foundation

Lub Apache Software Foundation coj muaj txuj Hadoop, Nws yog ib qho ubiquitous uas muaj xwm, uas nyob hauv daim ntaub ntawv yog cov Hadoop distributions interoperable. Cov Hadoop kuj tus txheej txheem de facto feem siv nyob hauv kev lag luam. Li ntawd, qhia cov lus nug no zoo li cas yuav ODP muab?

  • Lacks kev koom tes los ntawm cov nom tswv Hadoop

Ob peb Hadoop players, xws li MapR, Amazon Web Services thiab Cloudera, muaj tsis txawm koom teg num no.

  • Interoperability thiab Vendor kaw-yog tsis muaj qhov teeb meem

Raws li daim ntawv ntsuam xyuas Gartner, xwb ob peb tuam txhab uas muag xav tias interoperability thiab vendor xauv-nyob rau hauv yeej yog ib qhov teeb meem. Tas, yog ib qhov thiab ncua yog ib qhov interoperability yog guaranteed tau los ntawm cov dawb thiab them distributions. Li ntawd, uas yog tsis tau lub chaw ODP yuav tsum tau siv lub dag zog thiab lub sij hawm.

  • Yog muaj lus nug txog tej kev coj

Ob peb nqe lus nug no hais rau qhov tej qauv voting txoj cai ncaj uas tsis muaj rau txoj kev Hadoop distributions. Rau tej kev coj qauv yog tsis tau hais tawm.

  • Tsis hais tiag qhib

Nrog Hortonworks ua ib khub, tus ODP yog tsim kom muaj ib qho platform qhib cov ntaub ntawv rau ib tus hluas vendor ntim. Qhov no casts ib co tsis ntseeg rau hom "Qhib" nws tus kheej.

Nyeem – Xab lub ROI rau me nyuam los tu Hadoop









Cov ntaub ntawv qhib Platform yog dab tsi?

Tus ntxhais Cheebtsam ntawm cov ODP muaj Hadoop faib cov ntaub ntawv kaw lus (HDFS), pawg tswj tshuab xov paj, thiab Hadoop tswj console Ambari. By establishing this core for the ODP kernel, the intent is to run applications on OPD built on Hadoop stack. Just to add, the ODP core is a set of software components and open source tests that you can use to build solutions.

With the advent of IoT/WoT, the need of an hour is the data itself. Theej, the need is to enhance the communication among growing network of objects. To facilitate it, the open data platform is the key area here as it leverages the Hadoop ecosystem.

tej zaum, if you can help me in explaining this graphic, it will help explaining the flow here.

Let us understand the process flow of the Open data platform. The ODP supports the Open Data lifecycle process, xws li:

  • Identifying
  • Publishing
  • Discovering
  • Enriching
  • Consuming Data
Nyeem – Ntawm cov ntaub ntawv rau cov neeg siv cov Authentication loj loj








A Matter of Choice

The way forward for ODP is the Standardization model. Qhov tshij, lub standardization tau nws tus kheej zoo txheej tiam sis xaiv yog dab tsi ua rau koj empowered. Theem saum tus sib txeeb noj qab nyob zoo thiab zoo.

Li ntawd, Peb tos thiab xyuas seb txoj kev lag luam embraces ODP muab cov qauv caag. Kuj tseem muaj ntau nqe lus nug uas yog unanswered xws li cov nqi qauv, tej qauv thiab voting txoj cai. Cov lus nug uas loj yog hais tias ODP no addresses cov nqe lus nug cov neeg tseem ceeb. Peb cia li cas teg num no mus ntxiv saib thiab pab tau lub zej zog.

 

 

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