DDMA Level III
Data Management and Analytics glossary
Every term this guide defines, A to Z, each with the chapter that teaches it. Open it when a word in a question is unfamiliar, and test yourself on it in the last week: cover the definition and say it in one sentence.
16 terms from the free first chapter
B
- Big data
Datasets too large, fast-moving or varied for traditional tools to capture, store and process effectively.
Taught in Big data management concepts
- Big data analytics
Examining big data to uncover patterns, correlations and insights beyond what conventional analysis can handle.
Taught in Big data management concepts
- Big data life cycle
Data moves through capture, storage, processing, analysis and visualisation, from raw generation to actionable insight.
Taught in Big data management concepts
- Big data management
The practices and technology for reliably storing, organising and governing big data throughout its lifecycle.
Taught in Big data management concepts
C
- Collective intelligence
Draws insight from the aggregated behaviour of many users or agents.
Taught in Big data management concepts
M
- Machine learning
Algorithms that improve their performance on a task automatically from data, without being explicitly reprogrammed.
Taught in Big data management concepts
- Metadata
Data describing other data, its source, format and meaning.
Taught in Big data management concepts
P
- Predictive analytics
Uses historical patterns to forecast future outcomes.
Taught in Big data management concepts
S
- Semi-structured data
Has some organisational structure without a rigid schema, e.g. JSON or XML.
Taught in Big data management concepts
- Structured data
Fits a fixed schema of rows and columns, e.g. a relational database table (Databases).
Taught in Big data management concepts
U
- Unstructured data
Has no predefined format, free text, images, video.
Taught in Big data management concepts
V
- Value
The actual business or analytical worth that can be extracted from the data.
Taught in Big data management concepts
- Variety
The range of formats and types data arrives in, structured, unstructured and everything between.
Taught in Big data management concepts
- Velocity
The speed at which data is generated and needs to be processed.
Taught in Big data management concepts
- Veracity
The trustworthiness and accuracy of the data.
Taught in Big data management concepts
- Volume
The sheer scale of data generated and stored.
Taught in Big data management concepts
The full glossary adds every term from the other 5 chapters, A to Z, each with the chapter that teaches it.