Best Hadoop Training in Bangalore | www.myTectra.com

Author: Venkatesan Murugan
myTectra learning solutions is one of the best training center for Hadoop and many other IT courses in Bangalore. They provide best training and course content to train students effectively.

Curriculum:

  1. Chapter 1: Understanding Big Data and HadoopBig DataLimitations and Solutions of existing Data Analytics ArchitectureHadoopHadoop FeaturesHadoop EcosystemHadoop 2.x core componentsHadoop Storage: HDFSHadoop Processing: MapReduce FrameworkHadoop Different Distributions
  2. Chapter 2:Hadoop Architecture and HDFSHadoop 2.x Cluster Architecture - Federation and High AvailabilityA Typical Production Hadoop ClusterHadoop Cluster ModesCommon Hadoop Shell CommandsHadoop 2.x Configuration FilesSingle node cluster and Multi node cluster set up Hadoop Administration
  3. Chapter 3: Hadoop MapReduce FrameworkMapReduce Use CasesTraditional way Vs MapReduce wayWhy MapReduceHadoop 2.x MapReduce ArchitectureHadoop 2.x MapReduce ComponentsYARN MR Application Execution FlowYARN WorkflowAnatomy of MapReduce ProgramDemo on MapReduceInput SplitsRelation between Input Splits and HDFS BlocksMapReduce: Combiner & PartitionerDemo on de-identifying Health Care Data setDemo on Weather Data set
  4. Chapter 4: Advanced MapReduceCountersDistributed CacheMRunitReduce JoinCustom Input FormatSequence Input FormatXml file Parsing using MapReduce
  5. Chapter 5: PigAbout PigMapReduce Vs PigPig Use CasesProgramming Structure in PigPig Running ModesPig componentsPig ExecutionPig Latin ProgramData Models in PigPig Data TypesShell and Utility CommandsPig Latin : Relational OperatorsFile Loaders, Group OperatorCOGROUP OperatorJoins and COGROUPUnionDiagnostic OperatorsSpecialized joins in PigBuilt In Functions ( Eval Function, Load and Store Functions, Math function, String Function, Date Function, Pig UDF, Piggybank, Parameter Substitution ( PIG macros and Pig Parameter substitution )Pig StreamingTesting Pig scripts with PunitAviation use case in PIGPig Demo on Healthcare Data set
  6. Hive
  7. Advanced Hive and HBase
  8. Advanced HBase
  9. Processing Distributed Data with Apache Spark
  10. Oozie and Hadoop Project

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