Data Science
This unique field in a database table ensures that every record is distinct and allows separate tables to be linked.
Primary Key
Translating raw datasets into visual formats primarily serves three purposes: simplifying understanding, telling a story, and drawing attention to these.
Key insights or Significant Results
This type of intelligent system is specifically designed to replicate the reasoning and decision-making abilities of a human expert within a specialized domain.
Expert System
This project management chart visualizes individual tasks, dependencies, and key milestones along an estimated timeframe.
Gantt Chart
This quantitative level of measurement features consistent intervals between values, but lacks an absolute zero starting point (e.g. calendar years or temperature in Celsius).
Interval Level of Measurement
This feature in business analytics services allows users to interactively navigate from a high-level summary visualization down into the detailed, granular dataset behind
Drill Down Capabilities
This inference engine technique incorporates rules of thumb alongside degrees of truth rather than strict binary logic, enabling an intelligent system to provide graded classifications and handle imprecise data under uncertainty
Heuristic or Fuzzy Logic
This system implementation strategy operates both the old and new systems simultaneously for a period to ensure correctness and prevent data loss.
Parallel Implementation
This decentralized, shared digital ledger securely records transparent transactions across a network of computers, making it ideal for tracking items and online voting.
BlockChain
In developing data visualisations, this aspect of data integrity involves cross-checking and verifying data across multiple sources to confirm accuracy and prevent error propagation.
Validation
This inference engine technique maintains logical consistency within a system by tracking dependencies and automatically retracting conclusions if a supporting fact changes.
Truth Maintenance
This specific type of software testing evaluates database stability and system response times by transferring massive quantities of data, helping defend against Distributed Denial-of-Service (DDoS) attacks
Volume Testing
In standard SQL syntax, this keyword directly follows SELECT and FROM to specify the filtering criteria that records must satisfy.
Where
This centralized repository retains extensive historical records, allowing organizations to compare past performance against current data to identify long-term trends.
Enterprise Data Warehouse
This technique allows an inference engine to categorize concepts using structured knowledge hierarchies (e.g., defining that a "bronchitis" diagnosis belongs to "respiratory conditions") to enable semantic reasoning.
Ontology Classification
Unlike the traditional, sequential Waterfall approach, this development methodology emphasizes flexible teamwork, iterative sprints, and continuous client collaboration.
Agile
This concept refers to the right of a community or nation, such as Aboriginal and Torres Strait Islander Peoples, to maintain control over the collection, ownership, and application of their data.
Data Sovereignty
When interrogating a visualization, this analytical process involves combining individual data points into summary groups, such as total sales by region or month.
Aggregation
In Decision Support Systems (DSS), this category of decision-making involves an infinite set of variables and lacks a clear algorithmic path, relying heavily on expert human judgment.
Unstructured Decision Making
This formal phase of testing is conducted to verify that all original contract specifications and problem statements have been satisfied before client sign-off.
Acceptance Testing