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chidziwitso chachikulu cha hadoop certification

Big Data Hadoop Certification Mwachidule & Kuphunzira

mwachidule

Omvetsera ndi Zoperekera

Zolembera Mwachidule

Ndandanda ndi Malipiro

chitsimikizo

Big Data Hadoop Certification Mwachidule Kuwunika

Ndizolemba zambiri za Hadoop Big Data yophunzitsidwa ndi akatswiri ogulitsa zamakono kulingalira za ntchito zamakono zomwe zikufunikira ntchito kuti apereke maphunziro ozama pa deta yaikulu ndi Hadoop Modules. Ichi ndi makampani omwe adazindikira maphunziro a Big Data certification maphunziro omwe akuphatikizapo maphunziro a Hadoop, wogwiritsa ntchito Hadoop, Hadoop, ndi analytics. Izi Cloudera Maphunziro a Hadoop adzakonzekeretsani kuthetsa chidziwitso chachikulu cha deta.

Zolinga

  • Mphunzitsi weniweni wa Hadoop 2.7 ndi YENJEZE ndipo lembani kugwiritsa ntchito kugwiritsa ntchito
  • Kukhazikitsa nambala ya pseudo ndi magulu ambiri a node ku Amazon EC2
  • Mphunzitsi wa HDFS, Mapu, Mapiri, Nkhumba, Oozie, Sqoop, Flume, Zookeeper, HBase
  • Phunzirani Spark, Spark RDD, Graphx, MLlib kulemba ntchito Spark
  • Master Hadoop ntchito zothandizira monga magulu oyang'anira, kuyang'anira, kuyang'anira ndi kuthetsa mavuto
  • Kukonza zida za ETL monga Pentaho / Talend kugwira ntchito ndi MapReduce, Hive, Nkhumba, ndi zina
  • Kumvetsetsa kwakukulu kwa analytical Big Data
  • Hadoop kuyesa ntchito pogwiritsa ntchito MR Unit ndi zina zothandizira.
  • Gwiritsani ntchito ma Avro ma data
  • Gwiritsani ntchito mapulani a moyo weniweni pogwiritsa ntchito Hadoop ndi Apache Spark
  • Konzekerani kuti muchotse Big Data Hadoop Certification.

cholinga Omvera

  • Kukonza Mapulogalamu Oyambitsa ndi Okonzekera
  • Ophunzira ogwira ntchito, Otsogolera polojekiti
  • Big DataHadoop Onyenga akufunitsitsa kuphunzira zowoneka ngati Kuyesedwa, Analytics, Administration
  • Mainframe Ophunzira, Akatswiri Okonzanso & Ophunzira Oyesera
  • Business Intelligence, Deta zolembera ndi Ophunzira a Analytics
  • Ophunzira, ophunzirira maphunziro apamwamba omwe akufunitsitsa kuphunzira zamakono zamakono a Big Data akhoza kutenga Big Data Hadoop Certification pa Intaneti maphunziro

Zofunikira

  • Palibe chofunikira kuti mutenge maphunzirowa a Big Data ndikudziwa Hadoop. Koma zofunikira za UNIX, SQL ndi java zikanakhala zabwino.Pamenepa Intellipaat, timapereka zovomerezeka za Unix ndi Java maphunziro ndi Big Data certification maphunziro kuti tizitsitsimutse luso lofunika kuti mukhale bwino pa Hadoop kuphunzira njira.

Nthawi Yoyendetsera Nthawi Yomweyi: Masiku a 2

Mau oyamba a Big Data & Hadoop ndi ma Ecosystem, Mapu Ochepetsa ndi HDFS

Kodi Big Data, Kodi Hadoop amalowetsamo, Hadoop Distributed File System - Mafotokozedwe, Kutsekedwa kwa Block, Secondary Namenode, Kupezeka Kwambiri, Kumvetsetsa YARN - ResourceManager, NodeManager, Kusiyana pakati pa 1.x ndi 2.x

Hadoop Kuyika & kukhazikitsa

Hadoop 2.x Cluster Architecture, Federation and Availability High, Cluster Yowonjezera Yopanga, Hadoop Cluster Modes, Common Hadoop Shell Malamulo, Hadoop 2.

Pansi pa Mapreduce

Momwe Mapreduce amagwirira ntchito, Momwe kuchepa kumagwirira ntchito, Momwe Dalaivala amagwirira ntchito, Zomangamanga, Zophatikizapo, Mafomu Odziwika, Mafomu Otsatsa, Kusuntha ndi Mtundu, Kuphatikizana kwa Mapufupi, kuchepetsa Kuphatikizana Kwina, MRUnit, Distributed Cache

Lab ikugwira ntchito:

Kugwira ntchito ndi HDFS, Kulemba WordCount Program, Kulemba mwambo wopanga mapepala, Mapreduce ndi Chophatikiza, Mapu Kulowa Join, Kuchepetsa Kuphatikizana Kwina, Kuyesa Mapulogalamu Mapu, Kuyenda Mapreduce ku ModeJobRunner Mode

Graph Vuto Kuthetsa

Kodi Grafu, Chiyimira cha Girasi, Mkate Choyamba Chofuna Kufufuza, Kuyimira Girasi kwa Mapu Ochepa, Momwe Mungachitire Graph Algorithm, Chitsanzo cha Mapu a Girasi Pitirizani,

    Zochita 1: Zochita 2: Zochita 3:

Kumvetsetsa kwambiri kwa Nkhumba

A. Kuyamba kwa Nkhumba

Kumvetsetsa Apache Nkhumba, zomwe zimagwiritsidwa ntchito, ntchito zosiyanasiyana ndikuphunzira kugwirizana ndi Nkhumba

B. Kutumizira Nkhumba pofuna kusanthula deta

Chidule cha Pig Latin, matanthauzo osiyanasiyana, mtundu wa deta ndi fyuluta, mitundu ya deta, kutumiza Nkhumba kwa ETL, kutsegula deta, kuyang'ana schema, kutanthauzira kumunda, ntchito zomwe zimagwiritsidwa ntchito.

C. Nkhumba kuti ikhale yovuta kwambiri

Mitundu yosiyanasiyana ya deta kuphatikizapo zisa ndi zovuta, kupanga deta ndi Nkhumba, kugawana deta iteration, kuchita zolimbitsa thupi

D. Kuchita machitidwe osiyanasiyana

Deta ikuphatikizana, kugawidwa kwa deta, njira zosiyanasiyana za kusonkhanitsa deta, kukhazikitsa ntchito, manja pazochita

E. Kutambasula Nkhumba

Kumvetsetsa ntchito zomwe zimagwiritsidwa ntchito, kupanga deta ndi zinenero zina, kutumizidwa kunja ndi macros, pogwiritsa ntchito kusonkhana ndi UDFs kuti atulutse Nkhumba, kuchita masewera olimbitsa thupi

Ntchito ya F. Pig

Kugwira ntchito ndi malo enieni a deta omwe akuphatikizapo Walmart ndi Electronic Arts ngati phunziro lachidziwitso

Kumvetsetsa kwakukulu kwa Mayi

A. Makhalidwe Mau Oyamba

Kumvetsetsa Makhalidwe, Makhalidwe Achikhalidwe, Mbuzi, Nkhumba ndi Mayi, kusunga dera la Hive ndi Hive schema, Kuyankhulana kwa Mipingo ndi machitidwe osiyanasiyana a Madzi

B. Makhalidwe a kusanthula deta

Kumvetsetsa HiveQL, zizindikiro zoyambirira, magome osiyanasiyana ndi mazenera, mitundu ya deta, kuikapo deta, kuphatikizapo ntchito zosiyanasiyana, kutumizira mafunso a Hive polemba, shell ndi Hue.

C. Kusamalira deta ndi a Hive

Mawotchi osiyanasiyana, kulengedwa kwa malemba, mawonekedwe a deta mu ma Hive, ma Deta modeling, Ma matebulo osamaliridwa ndi Mipingo, Ma tebulo omwe amatha kusungidwa, kusindikiza deta, kusintha malemba ndi Masamba, kusinkhasinkha kwa mafunso ndi Views, kusungirako zotsatira za mafunso, kuyang'anira deta, kuyang'anira deta ndi Msewu, Makhalidwe a Hive ndi Seva Yambiri.

D. Kukonzekera kwa Amitundu

Kuphunzira kayendetsedwe ka funso, kufotokoza deta, kugawikana ndi ndondomeko

E. Kutambasula Mng'oma

Kutumizira ntchito zomwe amagwiritsidwa ntchito pokhala ndi Hive

F. Manja pa Zochita - Kugwira ntchito ndi zida zazikulu za deta komanso kufufuza kwakukulu

Kutumizira Mipingo kuti ikhale ndi mavoti ambiri a deta komanso kuchuluka kwa querying

G. UDF, kufunsa kukonzekera

Kugwira ntchito kwambiri ndi Mafotokozedwe Otanthauzira Owerenga, kuphunzira momwe mungakwaniritsire mafunso, njira zosiyanasiyana zomwe mungagwiritsire ntchito pokonza.

Impala

A. Ndondomeko ya Impala

Impala ndi chiyani ?, Kodi Impala Imasiyana Bwanji ndi Nkhumba ndi Nkhumba, Momwe Impala Imasiyanirana ndi Mabungwe Achibale, Zoperewera ndi Malangizo Atsogolomu, Kugwiritsa Ntchito Kagawo la Impala

B. Kusankha Bwino Kwambiri (Ng'ombe, Nkhumba, Impala)

C. Kujambula ndi Kusunga Dongosolo ndi Impala ndi Hive

Kusungirako Zambiri Zosungiramo Zambiri, Kupanga Mazenera ndi Ma Tebulo, Kuwunikira Deta M'mabuku, HCatalog, Impala Metadata Caching

D. Kugawa Deta

Kugawanika mwachidule, Kugawidwa mu Impala ndi Hive

(AVRO) Dongosolo la Data

Kusankha Fomu ya Fayilo, Chida Chothandizira Zopanga Mafayilo, Avro Schemas, Pogwiritsa Ntchito Avro ndi Hive ndi Sqoop, Avro Schema Evolution, Kulimbana

Kuyamba kwa zomangamanga za Hbase

Kodi Hbase ndi chiyani, Ndikuti zimagwirizana bwanji, NOSQL ndi chiyani?

Apache Spark

A. N'chifukwa Chiyani Amataya? Kugwira ntchito ndi Spark ndi Hadoop Maofesi Opatsa Maofesi

Kodi Spark ndi chiyani, Poyerekeza pakati pa Spark ndi Hadoop, Components of Spark

B. Zowonongeka Zowonjezera, Common Spark Makhalidwe Othandizira, Zowonongeka Zithunzi, Kuphunzira Kwambiri

Apache Spark- Kuyamba, Kugwirizana, Kupezeka, Kugawa, Kuphatikizidwa kwa Mgwirizano, Makhalidwe a Mbalame, Scalding chitsanzo, woyang'anira, mphepo, graph

C. Kuthamanga Kumathamangira pa Cluster, Kulemba Mawonekedwe Azinyalala pogwiritsa ntchito Python, Java, Scala

Fotokozerani chitsanzo cha python, Onetsetsani kukhazikitsa ntchentche, Fotokozerani ndondomeko ya dalaivala, Fotokozerani zolemba zachitsulo ndi chitsanzo, Tanthawuzani zosiyana zosinthika, Phatikizani scala ndi java mosasunthika, Fotokozani mgwirizano ndi kufalitsa. Fotokozerani kuti ndi chiani, Fotokozani ntchito yapamwamba ndi chitsanzo, Fotokozani OFI Mkonzi, Zopindulitsa za Spark, Chitsanzo cha Lamda pogwiritsa ntchito spark, Fotokozerani Mapreduce ndi chitsanzo

Mapulogalamu a Hadoop ndi Mapu a Kuthamanga Amachepetsa Ntchito

Makhalidwe Azinthu Zambiri Zamagulu pogwiritsa ntchito Amazon ec2 - Kupanga mapulogalamu a nodeti a 4, Mapu a Mapupa Amachepetsa Ntchito pa Cluster

Ntchito Yaikuru - Kuyiyika pamodzi ndikugwirizanitsa Dots

Kuziyika palimodzi ndikugwirizanitsa Dots, Kugwira ntchito ndi Seti Zambiri, Zomwe zikuphatikizidwa pakufufuza deta yaikulu

ETL Kuyanjana ndi Hadoop Zokwanira

Zomwe zida za ETL zimagwirira ntchito mu Industry Big Data, Kugwirizanitsa ku HDFS kuchokera ku chida cha ETL ndikusuntha deta kuchokera ku Machitidwe a ku HDFS, Kusuntha DBMS kuchokera ku DBMS kupita ku HDFS, Kugwira ntchito ndi Hive ndi ETL Chida, Kupanga Mapu Kupatula ntchito mu ETL chida, Kutsiriza mpaka Kutha ETL PoC ikuwonetseratu kugwirizana kwa chida cha ETL.

Kusintha kwa Cluster

Kuwongolera mwachidule ndi mafayilo ofunika kukonza, Mapangidwe ndi mapulani, Mapulogalamu a HDFS Mapulogalamu ofotokozera, Hadoop kukhazikitsa chilengedwe, 'Phatikizani' ndi 'Sungani' mafayilo okonza, Lab: MapReduce Performance Tuning

Kusamalira ndi Kusamalira

Mapulogalamu a Namenode / Datanode mawonekedwe, Fayilo fayilo ndi Hamu lolemba, Njira Yowunika, Namenode kulephera ndi njira zowonongeka, Njira zotetezeka, Metadata ndi Mauthenga, Zomwe zingatheke komanso njira zothetsera, Kuwonjezera ndi kuchotsa node, Lab: Mapu Pulogalamu ya Foni Yowonjezera

Kuwunika ndi Kufufuza Mavuto

Njira zabwino zowunika masango, Kugwiritsa ntchito zipika ndi zizindikiro za kufufuza ndi kuthetsa mavuto, Kugwiritsa ntchito zipangizo zotseguka kuti ziziyang'anira masango

Job Scheduler: Mapu amachepetsa ntchito yopereka ntchito

Momwe mungakonzekeretse ntchito pachisumbu chomwecho, FIFO Ndondomeko, Scheduler Fair ndi kasinthidwe

Mapulogalamu Ambiri Akhazikitsa Mapu ndi Mapu a Kuthamanga Akuthandizani Ntchito pa Amazon Ec2

Makhalidwe Azinthu Zambiri Zamagulu pogwiritsa ntchito Amazon ec2 - Kupanga mapulogalamu a nodeti a 4, Mapu a Mapupa Amachepetsa Ntchito pa Cluster

ZOOKEEPER

ZOOKEEPER Oyamba ZOOKEEPER ntchito milandu, ZOOKEEPER Services, ZOOKEEPER deta Model, Znodes ndi mitundu yake, Znodes ntchito, Znodes mawotchi Znodes akutchula analemba malamulo osasinthasintha amatitsimikizira, limodzi kasamalidwe, Mtsogoleri zisankho, Kugawira mwakathithi loko, mfundo zofunika

Yambani Oozie

Chifukwa Oozie ?, Kuika Oozie, Kuthamanga chitsanzo, Oozie- mayendedwe injini, Chitsanzo M / R kanthu, Mawu kuwerenga Mwachitsanzo, mayendedwe ntchito, mayendedwe kugonjera, mayendedwe boma kusintha, Oozie ntchito processing, Oozie chitetezo, chifukwa Oozie chitetezo ?, Job kugonjera , NAC tenancy ndi scalability, Time mzere wa Oozie ntchito, wotsogolera, mtolo, zigawo za abstraction, zomangamanga, ntchito Mlanduwu 1 nthawi akapsa, ntchito Mlanduwu 2: deta ndi nthawi akapsa, ntchito Mlanduwu 3: anagubuduza zenera

Pulogalamu Yoyamba

Kufotokozera kwa Apache Flume, Kugawidwa kwadzidzidzi Data, Kusintha kwa Deta, Kuyang'anitsitsa, Maonekedwe a Flume, Mfundo zazikulu, Zochitika, Otsatsa, Agent, Chitsime, Zitsulo, Zozama, Zomvera, Zosankha, Zosakaniza, Zojambula Zamadzi , Kusinthanitsa kwachinsinsi, Kuwongolera ndi kubwereza, Chifukwa chiyani ?, Gwiritsani ntchito - Chilolezo cha olemba, Kuwonjezera wothandizira, Kusamalira famu ya seva, Vuto la pulogalamu,

Yambani MUTU

Kulankhulidwa kwachinsinsi, zachilengedwe za HUE, Kodi ndi chiyani ?, MALANGIZO enieni a dziko lapansi, Zopindulitsa za HUE, Momwe mungasinthire deta mu Foni ya Fichi ?, Onani zomwe zili, Kuphatikiza ogwiritsa ntchito, Kuphatikizira HDFS, Zomwe zimakhazikitsidwa pa NKHANI YOPHUNZIRA

Poyamba Impala

IMPALA Phunziro: Zolinga, Zojambula za Mtpala: Zojambula, Zojambula za Umpala: SQL, Impala Zojambula: Apache HBase, zomangamanga za Impala, Masitolo a Impala, Utumiki wa makampani a Impala, Maphunziro a mafunso a Impala, Poyerekeza ndi Impala kwa Hive

Hadoop Kuyesedwa kwa Ntchito

N'chifukwa chiyani kuyezetsa n'kofunika, Unit kuyezetsa, Kusakanikirana kuyezetsa, Magwiridwe kuyezetsa, Diagnostics usiku QA mayeso, miyeso yolinganizira ndi kumapeto mpaka kumapeto mayesero, kuyezetsa zinchito, Kumasulidwa chitsimikizo kuyezetsa, Security kuyezetsa, Scalability Kuyesedwa, kutumidwa ndi Decommissioning a Data mfundo Kuyesedwa, M'Mabuku kuyezetsa , Kumasula kuyesedwa

Maudindo ndi maudindo a Hadoop Testing Professional

Kumvetsa chikalata, lokonzekera Kuyesedwa kuyesa, Mayeso Milandu, Mayeso Data, Mayeso chilengedwe bedi, Mayeso akuphedwa, chilema Kusimba, chilema Retest, Daily Momwe lipoti yobereka, Mayeso kutha, ETL kuyezetsa iliyonse siteji (HDFS, MNG'OMA, HBASE) pamene Kuwunikira, Kuvomerezeka kwa Wogwiritsira ntchito ndi Kuyesera Kuzindikiritsa (Magulu, Ogwiritsa Ntchito, Maudindo, etc.), Lembani zolakwika kwa gulu la chitukuko kapena manewa ndi kuyendetsa galimoto. kuti atseke, kulimbitsa zolakwika zonse ndi kupanga zolemba zolakwika, kutsimikizira zatsopano ndi nkhani ku Core Hadoop.

Makhalidwe otchedwa MR Unit kuyesa mapu-kuchepetsa mapulogalamu

Lembani zolakwika kwa gulu la chitukuko kapena abwana ndikuwatsogolera kuti atseke, Kulimbitsa zolakwika zonse ndi kupanga malipoti olakwika, Wokonzekera kupanga pulojekiti yotchedwa MR Unit kuyesa Mapulogalamu Ochepetsa Mapu.

Kuyesedwa kwa Unit

Kuyesera kokhazikika pogwiritsira ntchito OOZIE, Chidziwitso cha Data pogwiritsira ntchito chida chofufuzira.

Kuyesedwa koyesedwa

Ndondomeko yowonjezeretsa ya HDFS, Kuyesera kuyesa ndi zotsatira

Ndondomeko Yoyesera ndi Kulemba Mlandu Woyesa Kuyeza Hadoop Application

Momwe mungayesere kukhazikitsa ndikukonzekera

Job ndi Certification Support

Zokuthandizani za Cloudera Certification ndi Malangizo ndi Kuyankhulana Kwachinyengo Kukonzekera, Zokuthandizani Kwambiri Zothandiza

Chonde lembani kwa ife info@kambikathakalkochupusthakam.com & tilankhulani nafe ku 91-9870480053 pa mtengo wamtengo wapatali & ndondomeko mtengo, ndondomeko & malo

Tisiyeni Funso

Maphunzirowa apangidwa kuti akuthandizeni kuchotsa zonsezi Cloudera Spark ndi Hadoop Zothandizira Zomangamanga (CCA175) kuyeza ndi Cloudera Certified Administrator kwa Apache Hadoop (CCAH) mayeso. Maphunziro onse a maphunzirowa akugwirizana ndi mapulogalamu awiriwa ndipo amakuthandizani kuti muwone bwinobwino mayesowa ndikukhala ndi ntchito zabwino m'mabungwe akuluakulu a MNC.

Monga gawo la maphunzirowa mudzakhala mukugwira ntchito zenizeni zenizeni ndi ntchito zomwe zimakhudzidwa kwambiri ndi zochitika zamakono zomwe zikukuthandizani kuti muzitha mwamsanga ntchito yanu.

Pamapeto pa pulogalamuyi padzakhala mafunso omwe amasonyeza bwino lomwe mafunso omwe akufunsidwa mu mayesero ovomerezeka omwe amavomerezedwa ndikukuthandizani kuti mupewe zizindikiro zabwino pazitifiketi.

Sitifiketi Yathu Yokwaniritsa Malamulo Adzalandidwa pomaliza ntchito ya Project (pa kafukufuku wa akatswiri) komanso polemba zizindikiro zosachepera 60% pamunsi. Chizindikiro cha Intellipaat chimadziwika bwino m'ma 80 + MNC monga Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, ndi zina.

Kuti mudziwe zambiri, mverani mwachifundo Lumikizanani nafe.


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