Learn Talend using Talend Open Studio for Big Data

Learn Talend Architecture, ETL Components, Logging and Error, Databases, Flat files, Streaming, AWS Cloud and Kafka

The course is about Talend ETL processing.

What you’ll learn

  • Talend.
  • ETL Using Talend.
  • Talend Open Studio for Big Data.
  • Talend General and Big Data Components.

Course Content

  • Introduction –> 3 lectures • 16min.
  • Starting with Talend –> 3 lectures • 19min.
  • Database Source & Target Components (Input & Output Components) –> 2 lectures • 12min.
  • Working with Components –> 18 lectures • 1hr 16min.
  • OnSubJobOk, OnSubJobError, OnComponentOk, OnComponentError & RunIf –> 5 lectures • 11min.
  • Working with File Components –> 12 lectures • 33min.
  • System Components –> 4 lectures • 6min.
  • Logs & Errors –> 7 lectures • 25min.
  • AWS & Talend –> 4 lectures • 38min.
  • Kafka & Talend –> 3 lectures • 30min.

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Requirements

The course is about Talend ETL processing.

 

Talend enables us to deliver complete, clean, and uncompromised data to make every decision count. It collects the right data from diverse sources at the speed your business demands. It shares trusted data across departments and platforms, safely and securely. It also delivers trusted data to the people who need it, when they need it and improve your control of data to make better decisions and build high-impact digital experiences.

Talend is the leading open source solution for data integration. Its capabilities include,

 

  • Connectors topackaged applications (ERP, CRM, etc.), databases, mainframes, files, Web Services, and so on to address the growing disparity of sources.
  • Writingto data warehouses, data marts, OLAP applications – for analysis, reporting, dashboarding, scorecarding, and more.
  • Built-in advanced components for ETL, including string manipulations, Slowly Changing Dimensions, automated lookup handling, bulk loads support, etc

 

In this course you will learn about

  • Talend Architecture
  • ETL Components
  • System Components
  • Logging and Error
  • Interacting with Databases
  • Interacting with Flat files
  • Streaming process
  • AWS Cloud
  • Kafka

This Course is for,

  1. ETL Developers
  2. Data Architects
  3. ETL Engineers
  4. Data Engineers
  5. ETL Architects
  6. Database developers
  7. BI Developers

You would learn all the below components,

tAggregatorRow tFileCopy tFilterColumns tRunJob tWarn tAssert tFileDelete tFlowMeter tSampleRow tChronometer tFileExist tJoin tSetEnv tConvertType tFileInputDelimited tLogCatcher tSortRow tCreateTemporaryFile tFileList tLogRow tSplitRow tDenormalize tFileOutputDelimited tMap tSSH tDie tFileProperties tNormalize tStatCatcher tExtractDelimitedFields tFileTouch tReplace tSystem tFileArchive tFileunarchive tReplicate tUniqueRow tFileCompare tFilter tRowGenerator tUnite

 

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