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ECARE Technologiesisone of the pioneersinsoftware training.We deliveredthe trainingformany
individuals,groups,andcorporations.We prioritizetogive ourbestqualityof trainingandfurther
assistance.Youhave complete freedomtocustomize course topicsandtime.Onlinetrainingisagood
experience andagenerationahead..Registeryourselfforunbelievable prices.
HADOOPFOR DEVELOPERSANDADMIN COURSE CONTENT
You will learnhowtouse Apache Hadoopand write MapReduce programs.Youwill beginwithaquick
overviewof installingHadoop,settingitupina cluster,andthenproceedtowritingdataanalytic
programs.The course will presentthe basicconceptsof MapReduce applicationsdevelopedusing
Hadoop,includingaclose lookat frameworkcomponents,use of Hadoopfora varietyof data analysis
tasks,and numerousexamplesof Hadoopinaction.The course will furtherexaminerelated
technologiessuchasHive,Pig,andApache Accumulo.Apache Accumuloisahighlyscalable structured
store basedon Google'sBigTable,writteninJavaandoperatesoverthe HadoopDistributedFileSystem
(HDFS).Hive isdata warehouse softwareforqueryingandmanaginglarge datasets.Pigisaplatformto
take advantage of parallelizationwhenrunningdataanalysis.Finally,youwill observe how Hadoop
worksinand supportscloudcomputingandexplore exampleswithAmazonWebServicesandcase
studies.
Who ShouldAttend?
The course isintendedforprogrammers,architects,andprojectmanagerswhohave toprocesslarge
amountsof data offline.
Benefitsof Attendance:
Upon completionof thiscourse,studentswillbe able to:
 Understandbasicconceptsof MapReduce applicationsdevelopedusingHadoop
 UnderstandhowHadoopworksin and supportscloudcomputing andexplore exampleswith
AmazonWebServicesandcase studies
 Use Apache Hadoopand write MapReduce programs
Prerequisites:
Studentsshouldhave abasicfamiliaritywithLinuxadministrationandJava,asmost code exampleswill
be writteninJava.Familiaritywithbasicstatistical concepts(e.g.histogram, correlation) ishelpfulto
appreciate the more advanceddataprocessingexamples.
Course Outline:
What isHadoop?
UnderstandingdistributedsystemsandHadoop
ComparingSQL databasesandHadoop
UnderstandingMapReduce
CountingwordswithHadooprunningyourfirstprogram
Historyof Hadoop
StartingHadoop
The buildingblocksof Hadoop
SettingupSSH for a Hadoopcluster
RunningHadoop
Web-basedclusterUI
Componentsof Hadoop
Workingwithfilesin HDFS
Anatomyof a MapReduce program
Readingandwriting
WritingbasicMapReduce programs
Constructingthe basictemplate of aMapReduce program
Countingthings
AdaptingforHadoopsAPIchanges
StreaminginHadoop
Improvingperformance withcombiners
AdvancedMapReduce
ChainingMapReduce jobs
Joiningdatafromdifferentsources
Creatinga Bloomfilter
ProgrammingPractices
DevelopingMapReduce programs
Monitoringanddebuggingona productioncluster
Tuningfor performance
Cookbook
Passingjob-specificparameterstoyourtasks
Probingfortask-specificinformation
Partitioningintomultiple outputfiles
Inputtingfromandoutputtingtoa database
Keepingall outputinsortedorder
Managing Hadoop
Settingupparametervaluesforpractical use
Checkingsystemshealth
Settingpermissions
Managing quotas
Enablingtrash
RemovingDataNodes
AddingDataNodes
Managing NameNode andSecondaryNameNode
RecoveringfromafailedNameNode
Designingnetworklayoutandrackawareness
Schedulingjobsfrommultipleusers
RunningHadoopinthe cloud
IntroducingAmazonWebServices
SettingupAWS
SettingupHadoopon EC2
RunningMapReduce programsonEC2
CleaningupandshuttingdownyourEC2 instances
AmazonElasticMapReduce andother AWSservices
ProgrammingwithPig
InstallingPig
RunningPig
LearningPigLatinthroughGrunt
SpeakingPigLatin
Workingwithuser-definedfunctions
Workingwithscripts
SeeingPiginactionexample of computingsimilarpatents
HadoopRelatedTechnologies
Hive
Apache Accumulo
OtherHadoop-relatedstuff
Case studies
Converting11 millionimagedocumentsfromthe New YorkTimesarchive
Miningdata at ChinaMobile
Recommendingthe bestwebsitesatStumbleUpon
BuildinganalyticsforenterprisesearchIBMsProjectES2
e-Care technologies
The Director
No-24, 1st Floor,2nd Main CrossRoad,
VinayakaLayout,
NearMultiplex,Munnekolala
OPP:SGR Dental College
Marthahalli,Bangalore - 37.
Contact no:+91 9845642721, 9844752189
Ad

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Ecaretechnologies hadoop training in bangalore

  • 1. ECARE Technologiesisone of the pioneersinsoftware training.We deliveredthe trainingformany individuals,groups,andcorporations.We prioritizetogive ourbestqualityof trainingandfurther assistance.Youhave complete freedomtocustomize course topicsandtime.Onlinetrainingisagood experience andagenerationahead..Registeryourselfforunbelievable prices. HADOOPFOR DEVELOPERSANDADMIN COURSE CONTENT You will learnhowtouse Apache Hadoopand write MapReduce programs.Youwill beginwithaquick overviewof installingHadoop,settingitupina cluster,andthenproceedtowritingdataanalytic programs.The course will presentthe basicconceptsof MapReduce applicationsdevelopedusing Hadoop,includingaclose lookat frameworkcomponents,use of Hadoopfora varietyof data analysis tasks,and numerousexamplesof Hadoopinaction.The course will furtherexaminerelated technologiessuchasHive,Pig,andApache Accumulo.Apache Accumuloisahighlyscalable structured store basedon Google'sBigTable,writteninJavaandoperatesoverthe HadoopDistributedFileSystem (HDFS).Hive isdata warehouse softwareforqueryingandmanaginglarge datasets.Pigisaplatformto take advantage of parallelizationwhenrunningdataanalysis.Finally,youwill observe how Hadoop worksinand supportscloudcomputingandexplore exampleswithAmazonWebServicesandcase studies. Who ShouldAttend? The course isintendedforprogrammers,architects,andprojectmanagerswhohave toprocesslarge amountsof data offline. Benefitsof Attendance: Upon completionof thiscourse,studentswillbe able to: Understandbasicconceptsof MapReduce applicationsdevelopedusingHadoop UnderstandhowHadoopworksin and supportscloudcomputing andexplore exampleswith AmazonWebServicesandcase studies Use Apache Hadoopand write MapReduce programs Prerequisites:
  • 2. Studentsshouldhave abasicfamiliaritywithLinuxadministrationandJava,asmost code exampleswill be writteninJava.Familiaritywithbasicstatistical concepts(e.g.histogram, correlation) ishelpfulto appreciate the more advanceddataprocessingexamples. Course Outline: What isHadoop? UnderstandingdistributedsystemsandHadoop ComparingSQL databasesandHadoop UnderstandingMapReduce CountingwordswithHadooprunningyourfirstprogram Historyof Hadoop StartingHadoop The buildingblocksof Hadoop SettingupSSH for a Hadoopcluster RunningHadoop Web-basedclusterUI Componentsof Hadoop Workingwithfilesin HDFS Anatomyof a MapReduce program Readingandwriting WritingbasicMapReduce programs Constructingthe basictemplate of aMapReduce program Countingthings
  • 3. AdaptingforHadoopsAPIchanges StreaminginHadoop Improvingperformance withcombiners AdvancedMapReduce ChainingMapReduce jobs Joiningdatafromdifferentsources Creatinga Bloomfilter ProgrammingPractices DevelopingMapReduce programs Monitoringanddebuggingona productioncluster Tuningfor performance Cookbook Passingjob-specificparameterstoyourtasks Probingfortask-specificinformation Partitioningintomultiple outputfiles Inputtingfromandoutputtingtoa database Keepingall outputinsortedorder Managing Hadoop Settingupparametervaluesforpractical use Checkingsystemshealth Settingpermissions
  • 4. Managing quotas Enablingtrash RemovingDataNodes AddingDataNodes Managing NameNode andSecondaryNameNode RecoveringfromafailedNameNode Designingnetworklayoutandrackawareness Schedulingjobsfrommultipleusers RunningHadoopinthe cloud IntroducingAmazonWebServices SettingupAWS SettingupHadoopon EC2 RunningMapReduce programsonEC2 CleaningupandshuttingdownyourEC2 instances AmazonElasticMapReduce andother AWSservices ProgrammingwithPig InstallingPig RunningPig LearningPigLatinthroughGrunt SpeakingPigLatin Workingwithuser-definedfunctions Workingwithscripts SeeingPiginactionexample of computingsimilarpatents
  • 5. HadoopRelatedTechnologies Hive Apache Accumulo OtherHadoop-relatedstuff Case studies Converting11 millionimagedocumentsfromthe New YorkTimesarchive Miningdata at ChinaMobile Recommendingthe bestwebsitesatStumbleUpon BuildinganalyticsforenterprisesearchIBMsProjectES2 e-Care technologies The Director No-24, 1st Floor,2nd Main CrossRoad, VinayakaLayout, NearMultiplex,Munnekolala OPP:SGR Dental College Marthahalli,Bangalore - 37. Contact no:+91 9845642721, 9844752189