We have moved to www.dataGenX.net, Keep Learning with us.
Showing posts with label Conceptual. Show all posts
Showing posts with label Conceptual. Show all posts

Tuesday, June 30, 2015

Maximum number of DataStage Jobs in a project


Filesystems can have a hard limit on number of subdirectories that can be contained in a directory, for example 32766 (32K -2) for Linux

For every job, DataStage will create hash files as subdirectories in the project directory. Here is a list of the subdirectories created for every job. In this list "nn" represents the number (or id) of the job:

DS_TEMPnn
RT_CONFIGnn
RT_STATUSnn
RT_LOGnn
RT_BPnn
RT_BPnn.O
RT_SCnn (only for parallel jobs)

Wednesday, May 07, 2014

Framework ( usually followed ) in ETL Testing


To discuss how testing relates to the different phases of data mart design,  this frame-work includes eight phases:


Requirement analysis:

Requirements are elicited from users and represented either informally by means of proper glossaries or formally.

Analysis and reconciliation:

Data sources are inspected, normalized, and integrated to obtain a reconciled schema,

Wednesday, August 07, 2013

Logical Data Model



A logical data model describes the data in as much detail as possible, without regard to how they will be physical implemented in the database. Features of a logical data model include:
  • Includes all entities and relationships among them.
  • All attributes for each entity are specified.
  • The primary key for each entity is specified.
  • Foreign keys (keys identifying the relationship between different entities) are specified.
  • Normalization occurs at this level.

Thursday, May 30, 2013

Conceptual Data Model



A conceptual data model identifies the highest-level relationships between the different entities. Features of conceptual data model include:
  • Includes the important entities and the relationships among them.
  • No attribute is specified.
  • No primary key is specified.
The figure below is an example of a conceptual data model. 

Friday, September 28, 2012

Data Modeling - Conceptual, Logical, And Physical Data Models


The three level of data modeling, conceptual data model, logical data model, and physical data model, were discussed in prior sections. Here we compare these three types of data models. The table below compares the different features: