Anchor Modeling

Steph Locke has a presentation on Anchor Modeling as 6th Normal Form:

Anchor Modelling moves you beyond third normal form and into sixth normal form. What does this mean? Essentially it means that an attribute is stored independently against the key, not in a big table with other attributes. This means you can easily store metadata about that attribute and do full change tracking with ease. The historical problem with this methodology is that it makes writing queries a real pain. Anchor Modelling overcomes this by providing views that combine all the attribute data together.

Anchor Modeling is a rather different approach, so if it sounds interesting, check out the tutorial.

Related Posts

Re-Shaping Data Flows

Maneesh Varshney explains some methods to trim the fat out of analytical data flows: Big data comes in a variety of shapes. The Extract-Transform-Load (ETL) workflows are more or less stripe-shaped (left panel in the figure above) and produce an output of a similar size to the input. Reporting workflows are funnel-shaped (middle panel in […]

Read More

Trimming The Fat From Power BI Data Models

Philip Seamark shows how things like getting rid of ID columns can reduce a Power BI data model’s size significantly: Once saved, the Power BI file size was 289MB!  Is this good for 10 million rows?  It’s certainly better than the 360MB CSV file but not by much.  Certainly not close to the 10:1 compression […]

Read More

Categories

January 2016
MTWTFSS
« Dec Feb »
 123
45678910
11121314151617
18192021222324
25262728293031