DataOps Tools: Key Capabilities & 5 Tools You Must Know About
DataOps, short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization.
Databand provides dbt observability across your jobs, tests, and models you can know when a dbt process breaks, and how to fix it fast.
Teams use dbt Core and dbt Cloud to quickly deploy analytics code. But what happens when your dbt commands don’t work as expected? That’s where Databand’s dbt observability helps.
Get proactive dbt alerts around execution times, test failures, model anomalies, and more.
Save engineering time by centralizing metadata and root cause analysis from all your dbt commands under one roof.
Leverage Databand’s lineage capabilities to see which tables are impacted from dbt population.
Watch how easy it is to define alerts on dbt tests, models, and jobs to receive alerts when your dbt processes fail.
Leverage the power of Databand’s alerting capabilities to notify your teams of critical issues as soon as they happen.
Generate alerts for incidents like:
Simplify how analytics engineers and analysts access SQL for their models and tests.
Databand removes the manual discovery of .sql and .yaml files from your dbt projects.
Quickly view information about the state and duration of each dbt command from the Databand console.
Databand’s dbt observability automatically displays dbt commands in the context of your other data processes.
For example, if your using Apache Airflow to kick off a dbt command, Databand will show the entire flow.
See how Databand can transform data observability at your organization today.