analytics-dictionary / term / data infrastructure

Data masking

Data masking hides or obscures sensitive values, so people can work with data without seeing personal details.

Written by Reflective Data experts · updated Oct 5, 2026

Techniques include hashing, tokenising, partially hiding values or replacing them with realistic fakes. Warehouses support masking policies applied automatically by role.

It enables broad analytics access while protecting PII.

Data governance Personally identifiable information (PII)Row-level security

// how we can help

We design, build and optimise data warehouses and the cloud infrastructure around them. Data infrastructure services → · Managed data pipelines

Data latency

Data latency is the delay between something happening and it being available for analysis.

dagster.md

Dagster

Dagster is an orchestration platform that models data pipelines in terms of the data assets they…

aws.md

Amazon Web Services (AWS)

AWS is Amazon cloud platform, offering storage, compute and data services such as S3 and Redshift.

data-replication.md

Data replication

Data replication copies data from one system to another, to keep a second copy up to…

data-mesh.md

Data mesh

Data mesh is an approach where business domains own and publish their own data as products,…

columnar-storage.md

Columnar storage

Columnar storage stores data by column rather than by row, which makes analytical queries much faster.

← full analytics dictionary