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My January post @All Analytics.
"Logical refers to the relationships among the components of the
relation, not to any arrangement of the components of a relation. Any
presentation that preserves those relationships and adds no extra ones
is acceptable. An R-table is one possible such presentation. The problem
is that people fixate on this one presentation, identifying it with
relation. They then go even further and force the physical
implementation of a relation to be table-like." -- David McGoveran
Read it all. (Please comment there, not here)
Wednesday, January 27, 2016
Sunday, January 24, 2016
This Week
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1. Quote of the Week
1. Quote of the Week
I don't know that I would say that the RM is dead per se, or even holding us back. But I have to ask... why the relational model? ...A Hierarchical Model would work. In fact if we look at these NoSQL databases ... Hierarchical Models work better than relational models. The point is that some of the factors which cause one to think in terms of relationships have changed. Disk is cheap. There are definitely problems where having a strongly typed and structured model make sense. Then there are problems where not having a rigid model make sense. Structure on read seems to make sense these days. PS... Relational models don't scale. Especially on MPP.
--LinkedIn.com
Sunday, January 17, 2016
Conceptual (Business) Modeling, Logical Database Design and Physical Implementation
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A serious problem in the database field is not just that many data professionals do not know and understand the RDM, but also that they believe they do and criticize it. It is relatively easy to detect such critics. In "Recognizing and Treating Tableitis" Gordon Everest tries to be humorous, but it ends up more sad than funny.
A serious problem in the database field is not just that many data professionals do not know and understand the RDM, but also that they believe they do and criticize it. It is relatively easy to detect such critics. In "Recognizing and Treating Tableitis" Gordon Everest tries to be humorous, but it ends up more sad than funny.
Sunday, January 10, 2016
This Week
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1. Quote of the Week
1. Quote of the Week
Table (n.) – a collection of information (data?) describing a population of entities which possess some common characteristics, called attributes. Tables are the building block of relational databases. Tables must generally be “normalized,” at least to 1NF. That may be an appropriate way to think of databases when implemented in a modern day DBMS. However, it is not the way the world thinks logically. People have no problem with commonly occurring phenomena such as:
* A multi-valued attribute, e.g., an Employee possesses multiple Skills.
* Many-to-many (M:N) relationships, e.g., as between Employees and Projects
* A relationship with attributes
--Gordon Everest, Recognizing and Treating Tableitis
Monday, January 4, 2016
The Real Data Science Series: 1NF In Theory & Practice
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My January presentation for the San Francisco Microsoft Data Platform User Group:
Wednesday, January 13, 2016 6:30 PM
Microsoft Reactor, 680 Folsom Street , San
Francisco, CA (map)
In the early 70's E. F. Codd provided a very precise, formal
definition of a table in its normal form. Any table not normalized was in
violation of the RDM and not considered a R-table. But you are unlikely to have
encountered that definition. Instead you probably heard about "repeating
groups", "simple domains" and "atomic values", neither
of which are formal relational concepts. C. J. Date provided
a 1NF definition different than Codd's. And you probably think that the same
design principle underlies all normal forms, but 1NF is somewhat distinct.
This presentation introduces order and makes sense of all this,
including the practical implications for SQL database practice. It is first in
THE REAL DATA SCIENCE series (that includes papers and seminars) expounding the
Codd-McGoveran relational model, distinct from Date-Darwen's.You will learn:
• Normalization vs. further normalization
• Repeating Groups
• Simple domains and atomic values
• SQL and 1NF
Sunday, January 3, 2016
NoSQL and SQL: A Plague on Both Their Houses
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Oracle Defends Relational DBs Against NoSQL Competitors prompted Does Oracle Really Understand NoSQL?, which was shared on LinkedIn and triggered a LinkedIn exchange in which I participated. The following comment is an adequate summary of the second article:
Oracle Defends Relational DBs Against NoSQL Competitors prompted Does Oracle Really Understand NoSQL?, which was shared on LinkedIn and triggered a LinkedIn exchange in which I participated. The following comment is an adequate summary of the second article:
JN: It's an unfortunate bit of propaganda. Some truth mixed in with distractions and irrelevant comparison. I've met the DataStax team. They're smart people with a solid understanding of their space. I'm disappointed to see them mix good and bad information into something that looks like objective truth.and the first is not much better. The interested reader can visit all three links. What I want to do here is amplify on some of my LinkedIn comments and add some.
Wednesday, December 30, 2015
Re-interpreting Codd: LOGIC FOR SERIOUS DATABASE FOLKS
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David McGoveran has been working on a book on logic for database professionals. He will post articles online for review that will become chapters in the book. He has just posted first 4 along with a revised "Series Introduction" (link below).
I thought it's worth sharing a short note he sent me on what prompted the book and what some of its objectives are.
David McGoveran has been working on a book on logic for database professionals. He will post articles online for review that will become chapters in the book. He has just posted first 4 along with a revised "Series Introduction" (link below).
I thought it's worth sharing a short note he sent me on what prompted the book and what some of its objectives are.
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