Data terms explained.

A guide to key terms used in the data world.


Data engineering

Data engineering is the process of collecting, transforming, and preparing data for analysis, storage, and visualization. It involves designing and maintaining data pipelines, data warehouses, and data infrastructure to ensure that data is reliable, accessible, and ready for use by data analysts, data scientists, and other stakeholders in an organization. Data engineers work to optimize data workflows, handle data quality and integration issues, and enable efficient data processing.

Data pipelines

A data pipeline is a set of processes and tools for ingesting, processing, and moving data from one or multiple sources to a destination, such as a data warehouse or a data lake.

Data warehouse

A data warehouse is a centralized repository that stores and integrates large volumes of structured and sometimes unstructured data from various sources. It is designed for efficient querying and reporting, providing a foundation for business intelligence and analytics.