uhloboUqeqesho lweKlasi
INCWADI

inkalo enkulu yeedayop certification

I-Big Data Hadoop Certification Course & Training

isishwankathelo

Abaphulaphuli kunye neemfuno ezifunekayo

Inkcazo yeNkcazo

IShedyuli kunye neMali

iziQinisekiso

I-Big Data Hadoop Certification Course Overview

I-Hadoop Big Data Training Course yenzelwe iingcali zezoshishino eziqwalasela iimfuno zomsebenzi zamanyathelo ezikhoyo ukwenzela ukunika ulwazi olunzulu kwiinkcukacha ezinkulu kunye neHadoop Modules. Le shishini liye laqonda ikhosi ye-Big data yokuqeqeshwa kwezaziso ezidibeneyo zoqeqesho kwi-Hadoop yonjiniyela, umlawuli we-Hadoop, uvavanyo lwe-Hadoop kunye ne-analytics. Oku Cloudera Uqeqesho lweHadoop luyakulungiselela ukuba ususe isitifiketi esikhulu seenkcukacha.

iinjongo

  • I-Master eyi-Hadoop 2.7 kunye ne-YARN kwaye ubhale izicelo usebenzisa
  • Ukusetha i-node node kunye ne-Multi node cluster kwi-Amazon EC2
  • I-HDFS yeMatsha, iMephuYokuphucula, iHive, i-pig, i-Oozie, i-Sqoop, i-Flume, i-Zookeeper, i-HBase
  • Funda i-Spark, Spark RDD, Graphx, MLlib ukubhala izicelo ze-Spark
  • Imisebenzi yolawulo lwe-Hadoop njenge-cluster yokulawula, ukubeka iliso, ukulawula nokujongana neengxaki
  • Ukuqwalasela izixhobo ze-ETL ezifana nePentaho / Talend ukuze usebenze neMephuReduce, Hive, i-pig, njl
  • Ukuqonda ngokubanzi kwi-Analytical Data Analytics
  • Izicelo zokuhlola i-Hadoop usebenzisa i-MR Unit kunye nezinye izixhobo zokusebenza.
  • Sebenza ngeifom zeAro data
  • Ziqhelise iiprojekthi zangempela-ubomi usebenzisa iHadoop neApache Spark
  • Yixhotyiswe ukucima i-Big Data Hadoop Certification.

Abaphulaphuli ekujoliswe

  • AbaCwangcisi beeNkqubo kunye nabaPhathi beNkqubo
  • Abaqeqeshi abasebenzayo, abaphathi beeprojekthi
  • Big DataHadoop Abathuthukisi abanomdla wokufunda ezinye izandi ezifana novavanyo, ii-Analytics, Ulawulo
  • I-Mainframe Abalingani, abaCwangcisi beeNkcukacha kunye nabaSebenzi bokuvavanya
  • Ubungcali Boshishino, Abakwa-Data Store kunye nabaChwepheshe be-Analytics
  • Abagqwesileyo, abafundi abafuna ukufunda i-Big data yeTeknoloji yeData yeDat Data ingathatha ukuqeqeshwa kwe-Big Data Hadoop Certification online

Mfuneko

  • Akukho nto ifunekayo ngaphambili ukuba uthathe uqeqesho olubanzi lweData kwaye ufunde uHadoop. Kodwa izinto ezisisiseko ze-UNIX, i-SQL kunye ne-java yayiya kuba yinto enhle.In Intellipaat, sinika i unix kunye nekhosi ye-Java kunye nokuqeqeshwa kwe-Big Data ukuqinisekiswa kwezakhono ezifunekayo ukwenzela ukuba ulungile kwi-Hadoop yokufunda indlela.

Course Outline Duration: 2 Days

Isingeniso kwi-Big Data & Hadoop kunye ne-ecosystem yayo, Imephu yokunciphisa kunye ne-HDFS

Yiyiphi i-Big Data, iphi iHadoop ehlala kuyo, i-Hadoop iFayile yeFayile ekwabiweyo-iinguqulelo, ubungakanani be-Block, i-Secondary Namenode, ukufumaneka okukhulu, ukuqonda i-YARN - iManagerManager, i-NodeManager, Ukwahluko phakathi kwe1.x kunye ne-2.x

Hadoop Ukufakwa kunye nokusetha

I-Hadoop 2.x I-Cluster Architecture, Federation kunye nokuPhezulu okuPhezulu, ukusekwa kweCluster yeCopter, i-Hadoop Cluster Modes, ii-Commune Common Hadoop Shell, i-Hadoop 2.x Iifayile zoqwalaselo, i-Cloudera Iqoqo elilodwa le-node

I-Deep Dive eMaphureduce

Indlela i-Mapreduce isebenza ngayo, Indlela yokunciphisa ukusebenza ngayo, Indlela umqhubi asebenza ngayo, i-Combiners, Abaqeshi, amaFomathi okufaka, amaFomati okuPhuma, ukuKhuqa noHlelo, ukuHlangana kweMapside, Ukunciphisa ama-Joined Side, i-MRUnit, i-Distributed Cache

ILab wasebenzisa:

Ukusebenza ne-HDFS, Ukubhala iNkcazo ye-WordCount, i-Partitioner partitioner, i-Mapreduce kunye ne-Combiner, Imephu ye-Side Joyina, ukunciphisa ukujoyina ohlangothini, i-Unit Testing Mapreduce, i-Running Mapreduce kwi-LocalJobRunner Mode

Igrafu Ingxaki yokusombulula

Uluphi iGrafu, Ubume beGrafu, Isisinkwa kuqala Ukukhangela i-Algorithm, Ukumelela kweGrafu Ukunciphisa, Ukukwenza njani iGrafu Algorithm, Umzekelo weMaphu yeGrafu Ukunciphisa,

    Ukuzivocavoca 1: Ukuzivocavoca 2: Ukuzivocavoca 3:

Ukuqonda ngokucacileyo kwePig

A. Intshayelelo kwiNgulube

Ukuqonda i-Apache Pig, iimpawu, iindlela ezahlukeneyo kunye nokufunda ukusebenzisana nePig

B. Ukuthumela i-pig ngokuhlalutya kwedatha

I-syntax yePig Latin, iinkcazelo ezahlukeneyo, uhlobo lweenkcukacha kunye nefayile, iintlobo zeenkcukacha, ukuthumela i-pig ye-ETL, ukulayishwa kwedatha, ukubukela i-schema, ukucacisa kwimihlaba, imisebenzi esetyenziswa ngokuqhelekileyo.

C. Ingulube yokucutshungulwa kwedatha

Iinkalo ezahlukeneyo zeenkcukacha ezibandakanya iindawo ezinamahlathi kunye neziyinkimbinkimbi, ukuchithwa kwedatha kunye nePig, ukuqokelela i-iteration yedatha, ukusetyenziswa ngokusebenzayo

D. Performing multi-dataset operations

Iinkcukacha ezihleliweyo zidibanisa, ukuhlukaniswa kwedatha, iindlela ezahlukeneyo zokudibanisa idatha, ukusetyenzwa kwemisebenzi, ukusetyenziswa kwezandla

E. Ukwandisa iPig

Ukuqonda imisebenzi echazwe ngumsebenzisi, ukwenza ukusetyenziswa kwedatha kunye nezinye iilwimi, ukuthengiswa kweemveliso kunye ne-macros, usebenzisa ukusabalalisa kunye ne-UDF ukunyusa iPig, ukusetyenziswa okusebenzayo

Umsebenzi wePig

Ukusebenza kunye neeseti zedatha zangempela ezibandakanya iWalmart kunye noBugcisa ubuGcisa njengesi sifundo

Ukuqonda ngokubanzi kweeHive

A. Intshayelelo

Ukuqonda i-Hive, isiqhelo semveli kunye ne-Hive, i-pig ne-Hive comparison, ukugcina idatha kwi-Scheve ne-Hive schema, ukusebenzisana kwamaHive kunye namaxesha ahlukeneyo asetyenziso lweeHive

B. I-Hive yokuhlalutya kwedatha

Ukuqonda i-HiveQL, i-syntax eyisiseko, iitheyibhile ezahlukeneyo kunye neenkcukacha, iintlobo zeenkcukacha, ukusekwa kwedatha, imisebenzi eyahlukeneyo, ukuhambisa imibuzo yeHive kwiempendulo, i-shell kunye neHue.

C. Ulawulo lweenkcukacha ngeHive

Iinkcukacha ezihlukeneyo, ukuveliswa kweenkcukacha zolwazi, ifomathi yedatha kwiHive, ukulandiswa kwedatha, iifayile ezilawulwa yiHive, iItable ezilawulwa yiyo, ukulayishwa kwedatha, ukuguqula iinkcukacha kunye neTables, ukucinga lula kunye neMibono, ukugcinwa kwemibuzo, ukulawula ukufikelela kwedatha, ukulawula idatha kunye neHive, i-Metastore ye-Hive kunye neSeva yomncedisi.

D. Ukuphuculwa kweeHive

Ukusebenza kokufunda kombuzo, ukufakwa kweenkcukacha, ukwahlula kunye nokubeka ibhakethi

E. Ukwandisa amaHive

Ukuxhomekeka kwemisebenzi echazwe ngumsebenzisi yokwandisa iHive

F. Izandla kwi-Exercises - esebenzisana neeseti ezinkulu zeenkcukacha kunye nokucaphulwa okukhulu

Ukuhambisa iHive kwimimandla emikhulu yeeseti yedatha kunye nemali eninzi yokucima

G. UDF, ukulungiswa kombuzo

Ukusebenza ngokubanzi ngemibuzo echazwe ngumsebenzisi, ukufunda indlela yokulungisa imibuzo, iindlela ezahlukeneyo zokwenza ukulungiswa komsebenzi.

Impala

A. Intshayelelo kwiMpala

Yintoni i-Impala ?, Indlela i-Impala ehluke ngayo kwi-Hive ne-pig, Indlela i-Impala ehluke ngayo kwiiNgcaciso zeZondlo, iziLawuli kunye neziKhokelo zeKamva, Ukusebenzisa i-Impala Shell

B. Ukukhetha i-Best (iHive, i-pig, i-Impala)

C. Ukumodareyitha noLawulo lweDatha kunye ne-Impala kunye neHive

Ubume bemiSebenzi yokuThengiswa kweDatha, Ukudala iiNgcaciso kunye neeTables, UkuLawulwa kweDatha kwiiTables, i-HCatalog, i-Impala Metadata Caching

D. Ukwahlula uLwazi

Ukwahlula ukwahlula, ukwahlula kwi-Impala kunye neHive

(AVRO) IiFomathi zeDatha

Ukukhetha ifayile yeFayile, iNkxaso yeNcedo yamaFomathi eFayile, i-Avro Schemas, usebenzisa i-Avro neHive neSqoop, i-Avro Schema Evolution, Compression

Isingeniso kwi-architectural Hbase

Yintoni i-Hbase, iphi na ihambelana, Yintoni i-NOSQL

Apache Spark

A. Kutheni u-Spark? Ukusebenza ne-Spark neHadoop Inkqubo yeFayile ekwabiweyo

Yintoni i-Spark, Ukuthelekisa phakathi kwe-Spark ne-Hadoop, i-Components of Spark

B. I-Spark Components, i-Common Spark i-Algorithms-Iterative Algorithms, Uhlalutyo lweGrafu, uFundo lweMishini

I-Apache Spark- Intshayelelo, ukuBambisana, ukuFumaneka, isahlulo, i-Stack Stack Spark, i-Spark Components, umzekelo womnxeba, umlondolozi, isiqhwithi, igrafu

C. Ukugijima kwiCluster, Ukubhala Izicelo ze-Spark usebenzisa iPython, Java, Scala

Cacisa umzekelo we-python, Bonisa ukufaka intlanzi, Chaza inkqubo yomqhubi, Ukucacisa umxholo wenkcenkcaza, umzekelo, Chaza uguquko oluchanekileyo oluthathaka, Hlanganisa i-scala kunye ne-java ngokunyanisekileyo, Chaza u-concurrency kunye nokusabalalisa., Chaza ukuba yintoni na into, Chaza umsebenzi ophezulu we-oda ngomzekelo, Chaza i-OFI Umcwangcisi, Iingenelo ze-Spark, Umzekelo weLamda usebenzisa i-spark, Chaza iMaphureduce ngomzekelo

I-Hadoop Cluster Ukuseta kunye neKhomishoni yokuPhepha

I-Multi Node Cluster Setup usebenzisa i-Amazon ec2 - Ukudala i-4 iqoqo leqoqo leqoqo, iMaphu yokuHlola iyanciphisa imisebenzi kwiCluster

Iprojekti enkulu - Ukuyibeka kunye kunye nokuxhuma amaDots

Ukukubeka konke kunye nokuxhuma amaDots, Ukusebenza ngeeseti ezinkulu zeenkcukacha, Amanyathelo abandakanyekayo ekuhlalutheni idatha enkulu

ETL Ukuxhumana neHadoop Ecosystem

Izixhobo ze-ETL zisebenza njani kwi-Big Data Industry, Ukuxhuma kwi-HDFS kwiziko le-ETL kunye nokuhambisa idatha esuka kwi-Local system ukuya kwi-HDFS, Ukuhambisa iDatha kwiDBMS kwi-HDFS, Ukusebenza kunye neHive nge-ETL Isixhobo, Ukudala iMephu Ukunciphisa umsebenzi kwi-ETL, ukuphela kokuphela kwe-ETL I-PoC ibonisa ukuhlanganiswa kwedatha enkulu kunye ne-ETL ithuluzi.

Uluhlu lweCluster

Uqwalaselo lweenkcukacha kunye nefayile yokucwangcisa ebalulekileyo, iiparameters zokumisela kunye neempawu, iiparameters ze-HDFS ImephuLuhlu lweemilinganiselo, i-Hadoop yokuseta imvelo, 'Faka' kunye 'Hlanganisa' iifayile zokucwangcisa, uLebhu: Imephu: Ukunciphisa ukuSebenza kokuThumela

Ulawulo kunye nesondlo

Izakhiwo kunye neefayile ze-Namenode / Datanode, Imfayile yefayile kunye ne-Edit log, Inkqubo yokuHlola, iNkqubo yokuPhelelwa kweNameode kunye nokubuyiswa kweModeli, I-Safe Mode, iMetadata kunye nokugcinwa kweenkcukacha, Iingxaki ezinokwenzeka kunye nezisombululo / ukuba zikhangele ntoni, Ukongeza kunye nokususa i-node, iLebhu: ImephuNciphisa inkqubo yeFayile Ukubuyisela

Ukubeka iliso kunye neengxaki

Izindlela ezifanelekileyo zokubeka iliso kwiqoqo, Ukusebenzisa izigodo kunye neendlela zokubeka iliso nokujongana neengxaki, Ukusebenzisa izixhobo ezivulelekileyo ukujonga ilungu

Umhleli weJob: Imephu inciphisa ukuhamba komsebenzi

Indlela yokucwangcisa iMisebenzi kwiqoqo elifanayo, iFIFO iShedyuli, iShedish Scheduler kunye nokucwangciswa kwayo

I-Multi Node Cluster Setup kunye ne-Map Map Ukuphungula Imisebenzi kwi-Amazon Ec2

I-Multi Node Cluster Setup usebenzisa i-Amazon ec2 - Ukudala i-4 iqoqo leqoqo leqoqo, iMaphu yokuHlola iyanciphisa imisebenzi kwiCluster

UKUSEBENZA

INKQUBO YOKUSETYENZISWA, IINKCUKACHA ZOOKEEPER, ii-ZOOKEEPER Iinkonzo, i-ZOOKEEPER Idatha, i-Znodes kunye neentlobo zayo, ii-Znodes imisebenzi, ii-Znodes, ii-Znodes zifundwa kwaye zibhale, Iziqinisekiso zokuBambisana, ulawulo lweCluster, u-Leader Election

Ngaphambi kweOozie

Kutheni u-Oozie? Ukufaka i-Oozie, Ukuqhuba umzekelo, i-Oozi-injini yentsimbi, Umzekelo M / R isenzo, umzekelo wegama le-Word, isicelo se-Workflow, ukuhanjiswa kwe-Workflow, ukuhanjiswa komsebenzi we-Workflow, u-Oozie ukuqhutyelwa komsebenzi, ukhuseleko lwe-Oozie, Kutheni u-Oozie ukhuseleko? , Ukuhlala ezininzi kunye nokungahambi kakuhle, Umgca wexesha lomsebenzi we-Oozie, uMququzeleli, i-Bundle, iindawo zokukhutshwa, i-Architecture, Sebenzisa i-1: ixesha elibangela, Sebenzisa I-2: idatha kunye nexesha elibangela, Sebenzisa i-3: Iwindow

Phambili iPower

Ubume benkcazo ye-Apache Flume, ngokwasemzimbeni ukuhanjiswa kwemithombo yolwazi, ukutshintsha isakhiwo seDatha, ukujonga okukufutshane, i-Anatomy ye-Flume, iingcamango zengqungquthela, iNgqungquthela, abaxhasi, ama-Agents, uMthombo, iziteshi, iitshini, abaxhasi, abakhethi bamashishini, i-processor ye-Sink, i-processor ye-Pinkeline , Ukutshintshiselana kwedatha, Ukuhamba nokuphindaphinda, Kutheni imida ?, Sebenzisa ityala- Ulwahlulo lokungena, Ukongeza i-agent agent, Ukuphatha ifama yeseva, Inombolo yedatha nge-agent, Umzekelo uchaza ukuthunyelwa kwefowuni enye

Ngaphambi kweHUE

Isingeniso se-HUE, i-HUE ecosystem, Yintoni i-HUE ?, Umbono wehlabathi we-HUE, Iingenelo ze-HUE, Indlela yokulayisha idatha kwi-Browser File ?, Jonga umxholo, Ukuhlanganiswa kwabasebenzisi, Ukudibanisa i-HDFS, i-Fundamentals OF HUE FRONTEND

Ngaphambili Impala

I-IMPALA Inkcazo: Iinjongo, Umbono womsebenzisi we-Impala: Umxholo, Umboniso womsebenzisi we-Impala: I-SQL, Umbono womsebenzisi we-Impala: I-Apache HBase, i-Impala i-architecture, i-Impala esitolo selizwe, iNkonzo yekhathalogi ye-Impala, Izigaba zomsebenzi wokufuna, Ukuqhathanisa iMpala ukuya kumaHive

Uvavanyo lweHadoop lweSicelo

Ukuvavanya ukubaluleka, ukuhlolwa kweeyunithi, ukuvavanywa kweeNyunithi, ukuvavanywa komsebenzi, ukuhlolwa kweeNyunithi, ukuvavanya kwe-QA ebusuku, ukuhlolwa kweMpawu kunye nokuphela kokuvavanya ukuphela, ukuvavanya ukusebenza, ukuvavanya ukuvunywa, ukuvavanywa koKhuseleko, ukuvavanya ukuVeka, ukuQinisekisa nokuCelwa koLwazi lweeNodwazi Ukuvavanywa , Ukukhulula uvavanyo

Iimbopheleleko kunye noxanduva lwe-Hadoop yoVavanyo loPhando

Ukuqonda iMfuneko, ukulungiswa kovavanyo lokuvavanya, iiNkundla zoVavanyo, uLwazi loVavanyo, ukuLalwa kweBhedi yokuVavanya, UkuPhathwa kweVavanyo, UkuBikezelwa kweeNgcaciso, ukuBuleka koBugqibeleleyo, ukunikezelwa kwengxelo yansuku zonke, ukugqitywa kokuhlolwa, uvavanyo lwe-ETL kwiindawo zonke (i-HDFS, i-HIVE, i-HBASE) ngelixa Ukulayisha igalelo (izingcingo / iifayili / irekhodi njl.) usebenzisa i-sqoop / i-flume equka kodwa engaphelelwanga ekuqinisekiseni idatha, Ukubuyisana, Ukugunyazwa kwabasebenzisi kunye nokuvavanya ukuqinisekiswa (Amaqela, Abasebenzisi, amalungelo, njl njl njl), Bika iimpazamo kwiqela lophuhliso okanye umphathi kunye nokuqhuba ukuba zivaliwe, Qinisekisa zonke iiphene kunye nokudala iingxelo eziphosakeleyo, Ukuqinisekisa ubungqina obutsha kunye nemiba e-Core Hadoop.

Isakhelo esibizwa ngokuba yi-MR Unit yokuvavanya iMaphu-ukunciphisa iiNkqubo

Bika iiphene kwiqela lophuhliso okanye umphathi kunye nokubenza bavaliwe ukuvala, Ukuhlanganisa zonke iimpazamo kunye nokudala iingxelo eziphosakeleyo, Abaxanduva lokudala i-Framework test ebizwa ngokuba yi-MR Unit yokuvavanywa kweeNkqubo-zokunciphisa iinkqubo.

Uvavanyo lweCandelo

Ukuvavanya ngokuzenzekelayo usebenzisa i-OOZIE, Ukuqinisekiswa kwedatha usebenzisa i-query tooling tool.

UkuPhathwa kovavanyo

Isicwangciso sovavanyo lwe-HDFS ukuphuculwa, ukuzitshintsha kwe-Test and result

ISicwangciso soVavanyo Isicwangciso kunye nokubhala Iimvavanyo zovavanyo zovavanyo lweHadoop

Ungazama ukuvavanya ukufaka nokuqwalasela

Inkxaso yeJob kunye neNkxaso

Iingcebiso ze-Cloudera kunye neZikhokelo kunye neNgcaciso yoLungiso loMcebisi, UkuCetyiswa, iingcebiso kunye noPhuhliso lweZakhono eziSebenzayo

Nceda ubhalele kuthi info@itstechschool.com Qhagamshelana nathi kwi-91-9870480053 kwixabiso lekhosi kunye neendleko zokuqinisekisa, ishedyuli kunye nendawo

Usilahle Umbuzo

Le khosi yoqeqesho yenzelwe ukukunceda ukucima zombini I-Cloudera Spark kunye neHadoop Developer Certification (CCA175) vavanyo kunye I-Cloudera Certified Certified Manager ye-Apache Hadoop (CCAH) vavanyo. Isiqulatho sonke soqeqesho lwekhosi sihambelana nale nkqubo yeziqinisekiso ezimbini kwaye sinceda ukucima ukuhlolwa kweziqinisekiso kunye nokufumana imisebenzi engcono kwi-MNC eziphezulu.

Njengengxenye yale qeqesho uza kusebenza kwiiprojekthi zangethuba zexesha kunye nezobume ezineempembelelo ezinkulu kwiimeko zonyango zonyani ngokwenene, ngokunjalo zikunceda ukukhawuleza ukulandelela umsebenzi wakho.

Ekupheleni kolu cwangciso loqeqesho kuya kuba nemibuzo ebonisa ngokugqithisileyo uhlobo lwemibuzo ebuzwe kwiimviwo ezifanelekileyo kunye nokukunceda ukuba ufumane amanqaku angcono kwiimviwo zokuqinisekisa.

ISatifikethi sokugqiba iSatifikethi iya kunikwa ekugqityweni komsebenzi weProjekthi (ngokuphononongwa kwengcali) kunye nokubeka amanqaku angama-60% kumbuzo. Isitifiketi se-Intellipaat siyabonakala kakuhle kwi-80 + MNCs efana ne-Ericsson, i-Cisco, iCognizant, i-Sony, i-Mu Sigma, i-Saint-Gobain, i-Standard Chartered, i-TCS, i-Genpact, i-Hexaware, njl.

Ukufumana ulwazi olungakumbi Qhagamshelana nathi.


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