analytics-dictionary / term / data infrastructure

Data observability

Data observability is monitoring the health of data and pipelines, so problems are found before users notice.

Written by Reflective Data experts · updated Oct 5, 2026

It checks freshness, volume, schema changes and distribution of values, and alerts the team when something drifts. The goal is to find broken data before it appears in a board report.

It complements testing: tests check known rules, observability spots the unexpected.

Data lineage Data pipeline Data quality

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Single sign-on (SSO)

Single sign-on lets users access many tools with one login managed by a company identity provider.

databricks.md

Databricks

Databricks is a data and AI platform built around the lakehouse approach and Apache Spark.

partitioning.md

Partitioning and clustering

Partitioning splits a large table into segments, and clustering sorts data within them, so queries read…

data-cost-optimization.md

Data cost optimization

Data cost optimization is reducing the cost of storing, moving and querying data without hurting the…

row-level-security.md

Row-level security

Row-level security restricts which rows of a table a user can see, based on who they…

cdc.md

Change data capture (CDC)

Change data capture tracks inserts, updates and deletes in a source database and replicates only those…

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