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8/13/2019 Hadoop Training Institutes in Pune , CloudEra Certification Courses in Pune
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Hadoop Training Institutes in Pune
Introduction:-
Grab the Excellent & Huge Job opportunities in the Big-Data Hadoop Market today with the help
of Mindscripts echnologies! Mindscripts echnologies is the Best Big-Data Hadoop raining
"nstitutes in #une! #ro$iding you a %oplete Hadoop %ourse with %loud Era %ertification! 's
Hadoop %ourse is de$eloped & work under 'pache (icense! Big-data Hadoop is the (atest
echnology in " Market! he Main ob)ecti$e of this course is to pro$ide the coplete knowledge
to the candidates or to the %o-corporate eployee who are interested to ake their career inBig-Data Hadoop course! arget & final %areer ob)ecti$e is to coplete the Hadoop course fro
indscripts technologies* is to coplete the %ourse & get the Job in Multinational copanies for
starting your career!
+or More Details you ay %ontact us on,-
8/13/2019 Hadoop Training Institutes in Pune , CloudEra Certification Courses in Pune
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Hotline no - .../../
Mobile no 0 112.3/4562
7ebsite,- www!indscripts!co
8ffice Branch 'ddress,-
Mind9cripts echnologies*
5nd +loor* 9iddharth Hall*
:ear ;anka Jewellers*
Behind H# #etrol #up*
8/13/2019 Hadoop Training Institutes in Pune , CloudEra Certification Courses in Pune
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Hadoop demons
Master Daemons&ame node
'ob Tracker
Secondary name node
Sla%e Daemons'ob tracker
Task tracker
HDFS ( Hadoop Distributed File System )
#locks and Splits
Input SplitsHDFS Splits
Data Replication
Hadoop Rack (areData hi$h a%ailability
Data Inte$rity"luster architecture and block placementccessin$ HDFS
') pproach
"*I pproach+ro$rammin$ +ractices
De%elopin$ MapReduce +ro$rams in
*ocal Mode
Runnin$ (ithout HDFS and Mapreduce+seudo-distributed Mode
Runnin$ all daemons in a sin$le node
Fully distributed modeRunnin$ daemons on dedicated nodes
Setup Hadoop cluster
Make a !ully distributed Hadoop cluster
"luster Speci!ication
&et(ork Topolo$y
"luster Speci!ication and installationHadoop con!i$uration
riting a !ap"educe Program
,aminin$ a Sample MapReduce +ro$ram
With se%eral eamples
#asic +I "onceptsThe Dri%er "ode
The Mapper
The ReducerHadoop.s Streamin$ +I
Scans
H#ase use casesInstall and con!i$ure H#ase on a multi node
cluster
"reate database/ De%elop and run sample
applicationsccess data stored in H#ase usin$ clients like
'a%a/ +ython and +earlH#ase and Hi%e Inte$ration
H#ase admin tasks
De!inin$ Schema and basic operation
Hi#e
Hi%e concepts
Hi%e architecture
Install and con!i$ure hi%e on cluster"reate database/ access it !rom 0a%a client
#uckets+artitions'oins in hi%e
Inner 0oins
1uter 'oinsHi%e 2DF
Hi%e 2DF
Hi%e 2DTF
De%elop and run sample applications in'a%a3+ython to access hi%e
PI$+i$ basics
Install and con!i$ure +I4 on a cluster
+I4 )s MapReduce and S5*+i$ )s Hi%e
Write sample +i$ *atin scripts
Modes o! runnin$ +I4
Runnin$ in 4runt shell+ro$rammin$ in ,clipse
Runnin$ as 'a%a pro$ram
+I4 2DFs+i$ Macros
Flume
Flume concepts
Install and con!i$ure !lume on cluster
"reate a sample application to capture lo$s!rom pache usin$ !lume
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Per%orming se#eral &adoop 'obs
The con!i$ure and close MethodsSe6uence Files
Record Reader
Record Writer
Role o! Reporter1utput "ollector
+rocessin$ 7M* !iles"ounters
Directly ccessin$ HDFS
ToolRunner
2sin$ The Distributed "ache
Common !ap"educe lgorit&ms
Sortin$ and Searchin$Indein$
"lassi!ication3Machine *earnin$Term Fre6uency - In%erse DocumentFre6uency
Word "o-1ccurrence
Hands-1n ,ercise: "reatin$ an In%ertedInde
Identity Mapper
Identity Reducer
,plorin$ (ell kno(n problems usin$MapReduce applications
Debugging !ap"educe Programs
Testin$ (ith MR2nit*o$$in$
1ther Debu$$in$ Strate$ies8
d#anced !ap"educe Programming
Recap o! the MapReduce Flo(
The Secondary Sort
"ustomi9ed Input Formats and 1utputFormats
Soop
4ettin$ S6oop Sample Import
Database Imports
"ontrollin$ the import
Imports and consistencyDirect-mode imports
+er!ormin$ an ,port
CDH* En&ancements
&ame &ode Hi$h %ailability
&ame &ode !ederationFencin$
;R&
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+ur "ecruiters:,
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