Pattern

In the Ultra Transcenders books

OGEA-101OGEA-102

Each book explains Pattern in context, with comparison tables and the common traps.

Terms in this definition

• APPLY

  Evaluates a table-valued expression for every row on its left, inside FROM. Think of OUTER APPLY as a left outer join and CROSS APPLY as an inner join.

Related terms

• Activator

  Rather than just displaying data as a dashboard does, this Real-Time Intelligence tool in Microsoft Fabric reacts to it. You define rules without writing code, and once a pattern or condition is spotted it can send an email or Teams message, or start a Power Automate flow or Fabric pipeline.

• AGDLP

  Nesting pattern: users go into global groups, which go into domain local groups, which receive the permissions. AGUDLP adds universal groups for forests with several domains.

• Binary collation

  A collation that orders and compares text by code point or bit pattern instead of by language rules. BIN2 compares code points fully, the older BIN only partially, and both treat case and accents as significant.

• Branch protection rule

  Older GitHub mechanism protecting a named branch or pattern by requiring status checks, reviews and other conditions before merging; rulesets now offer a newer approach.

• Character proximity

  Sets how near, measured in characters, corroborating evidence must sit to the main element before a sensitive information type pattern counts as matched. It can instead allow that evidence anywhere in the document.

• Cross-repo branch policies

  Policies set once for All Repositories in project settings, covering every repository's default branch or any current or future branch matching a pattern.

• Exact data match

  A custom kind of sensitive information type that looks up the real values held in a table your organisation supplies, such as a customer list, rather than matching a generic pattern. Data loss prevention can then flag only those precise records.

• Few-shot learning

  Putting sample inputs with their outputs into a prompt to demonstrate the pattern and format wanted, without altering model weights; zero-shot prompting gives no samples.