Design for the Future

The Future of Data

For the DBA

Reducing empty space and increasing flexibility by clustering around entity types and attribute groups

Real world entities have many possible simple relationships.

Simple General-Purpose Relationship Table

Multiple entity tables. N2 possible relationships.

Putting everything with options into the same entity table leads to lots of unused space.

Old Entity Table

Attributes are equivalent to relations.

Relationship Types are also entities.

Change the Entities to Phrases.

Change the Relations to Semantic Triplet Sentences.

Triplet Sentence Table Phrase Table

Phrase Table Allows any data type

in any “cell”.

Common value types are pooled and indexed.

ValueFloatTable

Phrase Table

Used for Project management, Security filtering

Used for metadata in the style of “(S1) was captured by (Device19)”.

This table requires either more phrases in a sentence or more sentences.

Complex Relationship Table Example

Allows more phrases per sentence, more phrases per syntax position, and more syntax positions (metadata).

Now you can select “tables” and “columns” the same way as rows.

Value Sentence Table

The sentence table can now hold any complex relationship.

The old design pattern - meaning is dependent on the row and column positions in each table.

The new design pattern - pieces of Equal Format Data.

This Old Table

Tables of Equal Format Data

Atomic data can be modified non-destructively more efficiently with less locking.

Nondestructive storage can maintain a running snapshot

Common container types reduce N2 complexity in coding, point-to-point conversions and messaging.

Development is de-linked from structural dependency.

Reusable structures encourage reusable code and common dictionaries.

Atomic data enables multiple inheritance

There are many ways to say it – keep it simple.

Try to be less ambiguous and use stricter and simpler syntax.

It’s easier to change the vocabulary than change the structure.

More wordiness uses space but adds meaning.

Compared to traditional design, it uses more space per cell when nonempty, but no space per cell when empty.

Repeat the container as multiple “subsystems” to tune the structure

Master Data Storage

Messaging Systems

Data Warehousing, Data Marts, and Data Mining

Security, Auditing, Quality Control

Merging Legacy Information

Facility Data and PLM Data

Engineering Project Management

Product Catalog Data

Development Infrastructure

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