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Data Stage Architecture

The document describes the architecture of Data Stage. It includes a repository for components like table definitions and jobs. An engine is responsible for executing jobs and partitioning data. Plugins allow communication with external sources and targets. Packages are used to install Data Stage components. The client includes tools like the designer, director, and admin. Version 8.0.1 introduced a common user interface, repository, engine, connectivity, and shared services across information analysis, data quality, and data transformation.

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76 views4 pages

Data Stage Architecture

The document describes the architecture of Data Stage. It includes a repository for components like table definitions and jobs. An engine is responsible for executing jobs and partitioning data. Plugins allow communication with external sources and targets. Packages are used to install Data Stage components. The client includes tools like the designer, director, and admin. Version 8.0.1 introduced a common user interface, repository, engine, connectivity, and shared services across information analysis, data quality, and data transformation.

Uploaded by

abreddy2003
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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Architecture of Data Stage

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

 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.

2. Common Engine :-

Responsible for information Analysis , Data Quality and data Transformation.

3. Common Connectivity:-

Responsible for plug ins and packs.

4. Common Shared Services :--

Acts as interface between all components

1. Common repository : / Meta Data Server


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

Architecture
2 – layer Architecture
- - > 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.
s

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