Ecaretechnologies hadoop training in bangalore
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The document provides an overview of a Hadoop for Developers and Admins course, including the course content which teaches how to use Apache Hadoop and write MapReduce programs, prerequisites of having basic Linux and Java familiarity, and a course outline that covers topics such as understanding distributed systems and Hadoop, running MapReduce programs, Hive, Pig, and using Hadoop in cloud computing. The course is intended for programmers, architects, and project managers who need to process large amounts of data offline. Upon completion, students will be able to use Hadoop and write MapReduce programs, understand how Hadoop supports cloud computing, and explore examples using Amazon Web Services
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 CountingwordswithHadoop—runningyourfirstprogram 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. AdaptingforHadoop’sAPIchanges 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 Checkingsystem’shealth 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 SeeingPiginaction—example of computingsimilarpatents
- 5. HadoopRelatedTechnologies Hive Apache Accumulo OtherHadoop-relatedstuff Case studies Converting11 millionimagedocumentsfromthe New YorkTimesarchive Miningdata at ChinaMobile Recommendingthe bestwebsitesatStumbleUpon Buildinganalyticsforenterprisesearch—IBM’sProjectES2 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