Data Lineage

Data Pipeline

An automated set of processes that moves and transforms data from source systems to target destinations.

Data Quality

The measure of data's fitness for its intended purpose based on accuracy, completeness, consistency, and timeliness.

Streaming Analytics

Processing and analysing continuous data streams in real time to detect patterns and trigger responses.

ETL Pipeline

An automated workflow that extracts data from sources, transforms it according to business rules, and loads it into a target system.

Data Mart

A subset of a data warehouse focused on a particular business area, department, or subject.

Data Observability

The ability to understand, diagnose, and resolve data quality issues across the data stack by monitoring freshness, distribution, volume, schema, and lineage of data assets.

Reverse ETL

The process of moving transformed data from a central warehouse back into operational tools such as CRM, marketing platforms, and customer support systems to activate insights.

The practice of designing, building, and maintaining data infrastructure, pipelines, and architectures.

A computational technique using repeated random sampling to obtain numerical results for problems with many coupled variables.

An approach to analysing datasets to summarise their main characteristics, often using statistical graphics and visualisation.

Analysing relationships and connections between entities represented as nodes and edges in a graph structure.

The graphical representation of data and information using visual elements like charts, graphs, and maps.

A statistical approach that incorporates prior knowledge and updates probability estimates as new data is observed.

A data mining technique discovering associations between items frequently purchased together.

The practice of building narratives around data insights using visualisations and narrative techniques.