• USA : +1 973 910 5725
  • INDIA: +91 905 291 3388
  • info@tekslate.com
  • Login

Data Formats Attributes & Modeling in Data Stage

 Data Formats

  • Data formats are also of different and are need to converted as of our required data
  • r/m/d
  • d/m/y
  • m/d/y
  • PQ 0102

That is   010102

2nd  jan 2001

Where              P =0  Q =1  R = 2  S =  3

  • Transformations may take place in different ways from Source to target.

– – > We may load the Source attribute ENO as it is to the Target  Attribute , or may make Same   attribute.

Attributes

The data-* attributes is used to store custom data private to the page or application.

The data-* attributes gives us the ability to embed custom data attributes on all HTML elements.

The stored (custom) data can then be used in the page’s JavaScript to create a more engaging user experience (without any Ajax calls or server-side database queries).

The data-* attributes consist of two parts:

-The attribute name should not contain any uppercase letters, and must be at least one character long after the prefix “data-“

-The attribute value can be any string

Note: Custom attributes prefixed with “data-” will be completely ignored by the user agent.

Ex: We have ENO as N 1234, N 3567

-The transformation we need to make is change All Ns to the value 8.

-Now, ENO Will be 81234,83563

-Both the source entities may have on Referential Integrity i.e they are related With each other to make same transformations.

-The main 4 jobs involved in doing an project are :

-Designing

-Performance

-Testing

-Conventions

Screenshot_18

– – > Both the Source Entities , are related with each other through joins, known as

Horizontal Combining in data Warehousing.

Dimensional modeling / ER Modeling:

– – > Modeling will never happen at data base i.e  Oracle

Screenshot_19

 – – >  Source system when modeled will always have only E- R Model

 – – > Target system when modeled may have either E- R / Dimensional model

Desired to gain proficiency on DataStage?
Explore the blog post on DataStage training to become a pro in DataStage.

Modeling

-Logical representation of Source system or Target system w. r. t client requirements

-r .t customer perspective

-Logical representation is nothing but pictorial representation.

-Modeling popular Modeling Tools Modeling Tools.

-Most popular Modeling Tools are

-ERWIN

2 ERSTUDIO

Based on Business Requirements Document (BRB), Modeling Will be done by Data Modeler  /DBA/Team leader (TL)/ Project loader (PL)

– – >To create it in a database,

  • using the same Modeling Tools, We can also Create physical Model(A code/ query)
  • Once the Queries are created , click on RUN,  data will be created to data base.

Screenshot_20

Forward engineering

Designed from Scratch (from beginning)

Reverse  engineering

Making some attributes to the already existing Model

why do we called Target system as a Dimension Model ?

  • A client can see the information in different dimensions.
  • Will always maintain lowest level of information i.e Detailed
  • Will have Meaningful, descriptive , detailed info.

(Ex: Suppose we want exp of emp as target info, Target system will products

Emp  of Emp in different ways , that is in years, months, days, Hours, Seconds, nano Seconds )

For indepth understanding of DataStage click on

Summary
Review Date
Reviewed Item
Data Formats Attributes & Modeling in Data Stage
Author Rating
4

“At TekSlate, we are trying to create high quality tutorials and articles, if you think any information is incorrect or want to add anything to the article, please feel free to get in touch with us at info@tekslate.com, we will update the article in 24 hours.”

0 Responses on Data Formats Attributes & Modeling in Data Stage"

Leave a Message

Your email address will not be published. Required fields are marked *

Site Disclaimer, Copyright © 2016 - All Rights Reserved.