Friday, November 13, 2009
Oracle SQL - Week Number in Quarter
1 + TRUNC((vStartDate - TRUNC(vStartDate, 'Q'))/7)
Oracle SQL - Day number in Quarter
trunc(vStartDate-trunc(vStartDate,'Q'))+1
Friday, November 6, 2009
How to Prepar for Data Mining
There is a new article by Eric King of The Modeling Agency on How to Prepare for Data Mining. It has some interesting points on various aspects that you would need to look out for.
I think some of the important things is that you need to plan such a project carefully, that you understand what you can get out of a data mining project, and have an appreciation of the type of techniques/technologies involved.
Brendan Tierney
I think some of the important things is that you need to plan such a project carefully, that you understand what you can get out of a data mining project, and have an appreciation of the type of techniques/technologies involved.
Brendan Tierney
Data Modelling for MDM course
This one-day seminar provides a systematic approach to the special data modeling challenges in Master Data Management (MDM). In particular it will focus on:
What master data is and its special management needs
Higher-level and lower-level data models for MDM
How to deal with history in master data
Designing for embedded and discrete metadata to support MDM
The effects of architecture on data models for MDM
The challenge of hidden subtypes in MDM data models
Designing models for master data production versus distribution
SOA and canonical data models for MDM
Levels of abstraction in master data
Incorporating data standards
Designing for identity cross-referencing
Modeling for the integration of master data
Change control among data models for MDM
Incorporating data governance requirements
Data models and information knowledge management
Incorporating vendor supplied master data content
By
Malcolm Chisholm
February 1 , 2010
Crowne Plaza Hotel, Clark, NJ
What master data is and its special management needs
Higher-level and lower-level data models for MDM
How to deal with history in master data
Designing for embedded and discrete metadata to support MDM
The effects of architecture on data models for MDM
The challenge of hidden subtypes in MDM data models
Designing models for master data production versus distribution
SOA and canonical data models for MDM
Levels of abstraction in master data
Incorporating data standards
Designing for identity cross-referencing
Modeling for the integration of master data
Change control among data models for MDM
Incorporating data governance requirements
Data models and information knowledge management
Incorporating vendor supplied master data content
By
Malcolm Chisholm
February 1 , 2010
Crowne Plaza Hotel, Clark, NJ
Seven Most Commonly Asked Questions about MDM
Master data management (MDM) enables organizations to maintain a single, clean, and consistent set of reference data on common business entities that can be used by any individual or application that requires it. Wayne Eckerson, director of TDWI Research, has written an excellent article that answers the seven most commonly asked questions about MDM, including:
- What's the best place to start with MDM?
- How do you fund MDM?
- What technical pitfalls will I encounter?
To read the article, please visit the link below. Note that you may now leave comments at the conclusion of the article.
Brendan Tierney
- What's the best place to start with MDM?
- How do you fund MDM?
- What technical pitfalls will I encounter?
To read the article, please visit the link below. Note that you may now leave comments at the conclusion of the article.
Brendan Tierney
Monday, November 2, 2009
BI Quotient
I've joing up with Uli Bethke of BI Quotient
http://www.business-intelligence-quotient.com/
Together we are offering a number of training courses on Data Warehousing, Data Mining, Oracle Data Mining and Master Data Management.
I will also be regularly posting on their blog on various topics relating to Data Mining.
http://www.business-intelligence-quotient.com/
Together we are offering a number of training courses on Data Warehousing, Data Mining, Oracle Data Mining and Master Data Management.
I will also be regularly posting on their blog on various topics relating to Data Mining.
Welcome to my Data Mining Blog
I will post my postings from various other blogs and locations here. They will be all based on my view of data mining and performing data mining in Oracle.
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