Data Mart

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.

Data Lineage

The documentation of data's origins, movements, and transformations throughout its lifecycle.

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 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.

Extremely large and complex datasets that require advanced computational tools and techniques to store, process, and analyse.

Techniques such as differential privacy, federated learning, and secure computation that enable data analysis while protecting individual privacy and complying with regulations.

Advanced analytics that recommends specific actions to achieve desired outcomes based on predictive analysis.

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

A visual interface displaying key metrics and data points for monitoring performance and making informed decisions.

Using historical data, statistical algorithms, and machine learning to forecast future outcomes and trends.

The study of graphs representing relationships between discrete objects to understand network structure and dynamics.

A formal agreement between data producers and consumers that defines the structure, semantics, quality standards, and service levels of a shared data interface.

Data Warehouse

A centralised repository of integrated data from multiple sources, designed for query and analysis.