analytics-dictionary / term / data infrastructure

Data orchestration

Data orchestration coordinates and schedules the steps of data workflows, handling dependencies, retries and alerts.

Written by Reflective Data experts · updated Oct 5, 2026

An orchestrator decides what runs when: extract first, then transform, then refresh dashboards, and what to do when a step fails. Airflow, Dagster and Prefect are well-known tools; many managed platforms hide this layer.

Without orchestration, pipelines run on ad hoc schedules and failures go unnoticed.

Data observability Data pipeline dbt

// how we can help

Moving data into your warehouse? Our managed pipelines run it for you. Managed data pipelines → · Browse integrations

Data lake

A data lake is a store that holds large amounts of raw data in its original…

row-level-security.md

Row-level security

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

real-time-analytics.md

Real-time analytics

Real-time analytics analyses data within seconds or minutes of it being generated.

data-quality.md

Data quality

Data quality describes how accurate, complete, consistent and timely your data is.

schema.md

Schema

A schema defines the structure of data: the tables, columns and data types it contains.

olap.md

OLAP

OLAP (online analytical processing) systems are built for fast analysis of large volumes of historical data.

← full analytics dictionary