Training Curriculum for Talend For Big Data consists of how to integrate Talend with Hadoop and perform various ETL Operations, Learn Big Data in Minutes not in months, No Pre-requisite, No Java/Map-Reduce Knowledge Required,Integrate your data in best way in Hadoop

1. TalendTraining- Bharat Khanna
Learn Big Data in minutes not in months
Bharat Khanna
Certified Talend Consultant

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TalendforBig Data Training- Bharat Khanna
Curriculum
 Chapter 1: Initial Set Up
 Installing Talend Open Studio for Big Data on Windows
 Installing HortonworksSandbox on Virtual Box
 ConfiguringTalend for Hadoop
 Installing Oracle XE Database
 Other Software Requirements
 Chapter 2: Getting started with Talend Open Studio for Big Data
 Starting the studio
 Creating the project
 WalkthroughStudio GUI
 Configuringyour own Talend View
 Creating an example job
 Chapter 3: ConfiguringMetadata
 Creating a Built-in Schema
 Creating a Repository Schema
 Creating a generic schema from existing metadata
 Chapter 4: Workingwith Files
 ReadingDelimited files
 ReadingPositional Files
 ReadingExcel Files
 ReadingXMLFiles

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TalendforBig Data Training- Bharat Khanna
 ReadingRegex Files
 Chapter 5: Workingwith Databases
 tOracleConnection
 tOracleInput
 Using SQL Builder in Talend
 tOracleOutput
 tOracleRow
 Chapter 6: Using contexts
 Creating Built-In Contexts
 Using Contexts Prompts
 Creating Contextsgroup in Repository
 Implicit tContextLoad
 tContextLoad and tContextDump
 Chapter 7: Using tMap
 Overview of tMap
 Connectingmultipleinputsto tMap
 Creating joinsin tMap
 Catching Rejects in tMap
 Using Expression Builder in tMap
 Using Variables in tMap
 Performancetuningof look upsin tMap

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TalendforBig Data Training- Bharat Khanna
 Chapter 8: Usage of Processing Components
 tJoin
 tFilterRow
 tSortRow
 tAggregateRow
 tAggregateSortedRow
 tReplace
 tNormalize
 tDeNormalize
 Chapter 9: Usage of Iterative Componentsin Talend
 tFileList
 tFlowtoIterate
 tIteratetoFlow
 Chapter 10: UsingJava in Talend
 Creating Routinesin Talend
 Using tJava component
 Using tJavaRow component
 Using tJavaFlex component
 Chapter 11: Configuring Statistics and Logs in Talend
 CapturingStatistics at Project Level
 Using tWarn, tDie, tFlowMeter
 Using tFlowMeterCatcher, tLogcatcher
 Using Global Variables in Talend

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TalendforBig Data Training- Bharat Khanna
 Chapter 12: Getting Started with Hadoop
 Creating Built-In connection to HDFS
 Creating Repository connection to HDFS
 Creating your firstHDFS Job
 Chapter 13: More on HDFS
 Using tHDFSPutand tHDFSGet
 Using tHDFSInput
 Iterating usingtHDFSList
 Using tHDFSPropertiesand tHDFSRowCount
 Chapter 14: Working on HIVE
 Creating Hiveconnection
 Getting deep into HIVE Concepts
 Workingon HIVE in command line
 Workingwith External Tables of HIVE in Talend
 Workingwith Managed Tables of HIVE in Talend
 Using external jars/UDF in HIVE
 PerformingELTin HIVE in Talend
 Chapter 15: Working on PIG
 Creating PIG connection
 Getting deep into PIG Concepts
 Workingon PIG in command line
 Using tPigLoad and tPigStoreResult
 Workingwith tPigMap

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TalendforBig Data Training- Bharat Khanna
 Joiningvarioussourcesusing tPigJoin
 Other processingcomponentsin PIG
 Chapter 16: Linking RDBMS and HDFS using SQOOP
 Using tSQOOPExport
 Using tSQOOPImport
 Chapter 17: Talend Data Integration Advance Concepts
 Using tRunJob
 Passing parametersto Sub Job
 Passing context variables from Parent Job to Child Job
 Passing context variables from Child Job to Parent Job
 Talend for Big Data Project
*Note: - Chapter 1 – 11 deals with Data Integration perspective and Chapter 12- 16 deals with Hadoop
perspective as it is important to build foundation on Talend for Data Integration before moving to Talend
for Big Data.
For trainingrequirements,please emailme at bharat3khanna@gmail.com