You can now access powerful data observability capabilities within IBM watsonx.data integration, which offers a unified control plane to enable you to build reusable pipelines using any integration style and data type, reducing reliance on specialized tools and ensuring resilience to shifts in data technology
Keeping your data reliable
1. Collect: Databand automatically collects metadata to gain immediate visibility, so data platform teams have a standard method for customized data quality validations.
2. Baseline: Next, Databand builds historical baselines based on common run and data behaviors, essentially profiling the data pipeline landscape.
3. Alert: After the historical baseline is established, Databand alerts on anomalies and/or rule breaches based on deviations from the established profile.
4. Remediate: Lastly, Databand allows you to create smart communication workflows to remediate data quality issues and keep data deliveries on track.
Pillars of Databand
Explore Databand's feature suite, designed to elevate data pipeline observability through automation and intelligence.
Learn how the seamless integration of IBM Databand with Autodesk’s modern data stack detects changes in source systems and provide real-time alerts in the event of workflow failures.
Learn how the IBM Chief Data Office (CDO) taps into the power of IBM Databand to navigate data pipeline complexity and reduce the time to create daily health reports by 93%.