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Architecture of Data Stage
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  Repository :- / Work Area / Project It is a work Area with collection of different Components.

  • Different Repository Components are
  • Table Definition
  • Shared Contains
  • Routines ..etc
  • Jobs

  It is an Environment for developing ETL jobs using the components.

Engine :- /Data stage Server

  • Responsible for Executing Data stage jobs.
  • Engine is also Responsible for partitioning, Re- partitioning and Reverse partitioning.

Plugins are used for communication with external sources or target

Screenshot_35

 

  • Though interface, the local of oracle are added to the Data stage
  • Plug – ins will reside in package Installer

Packs We need to install Data stage packages using packes of package Installer Client Components

  • Designer
  • Director
  • Manager
  • Admin

  Server

  • Repository
  • Engine
  • Package Installer
  •  client
  • Designer
  • Director
  • Manager
  • Admin

  8.0.1: Common user interface :- / unified users:

  • Designer
  • Director
  • Web console
  • Admin
  • Information Analyzer

   

  1. Common repository : / Meta Data Server

Common Environment  to store w. r. t. Data Quality Data profiling and data Transformation.

  1. Common Engine :-

Responsible for information Analysis , Data Quality and data Transformation.

  1. Common Connectivity:-

Responsible for plug ins  and packs.

  1. Common Shared Services :--

Acts as interface between all components

Screenshot_36

 

 Architecture

         2 – layer Architecture

Screenshot_11     - - >  

W – H Inman is known as the faster of warehouse . - - > Top – bottom approach was given by W – H Inman. - - >Bottom – up approach was given by Ralph – Kimball.  

Screenshot_12

Aspired to become an DataStage?
Explore the post to discover the know-hows on DataStage Training.
 

L4  Project Architecture

Screenshot_13  

Different format of .txt - - >  Fixed width flat files - - >   Comma separated values - - >  Variable length files - - >   Head and tail files  

Screenshot_14

For indepth understanding of DataStage click on

 

 

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