Data Layer Consistency

Automate data quality metric monitoring

Ensure the gold layer is “consumption-ready” data by identifying and resolving data issues before they flow through the silver and gold layer.

Actian Data Layer Consistency

Ensure data reliability with dependency monitoring

Actian Data Observability allows users to visualize dependencies between monitored data sources to help with troubleshooting data issues by displaying dependency graph with number of detected issues at each node of the graph.

Monitor data health across all data layers

  • Get a complete overview of the health status of all systems within your pipeline.
  • Visualize lineage to monitor data issues and KPIs through your pipeline.
  • View alerts from Actian Data Observability when inconsistencies are detected between the silver, bronze, and gold layer.

Track data from ingestion to consumption

  • Data inconsistencies across its lineage can be an early indicator of potential problems. Actian Data Observability allows you to detect and assess issues between systems before they escalate.
Data Layer Consistency

Quickly find the source of issues

  • Actian Data Observability searches across your entire data pipeline to find the source when inconsistencies occur.
  • Our UI-based investigator allows easy root-cause analysis.
  • Faster mean time to resolve, issue triaging, and resolution.
Data Layer Consistency
Actian Data Quality Advanced Features

Connect. Analyze. Alert. Advise.

Connect Datasources
Connect your datasource, or send data via REST, or load a local file.

Analyze Data Health
Quickly identify and pinpoint data anomalies, errors, or inconsistencies.

Alert
Actian will learn your data and its trends and automatically alert on unexpected drifts.

Recommendations
Actian will finally advice you on next best actions for your data sets.

Discover the complete platform

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Open architecture

No-code connection to data lake and lakehouse –natively supports raw formats like Iceberg, Hudi, and Delta.

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Data quality

Validate every value before ingesting into AI-model, automate and orchestrate DQ workflows in AI-workloads.

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Anomaly detection

No sampling, ML-driven anomaly detection on column values and business metrics.

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Data layer consistency

Improve quality across bronze, silver, and gold layers embedded design patterns to stop bad data at bronze.

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Data layer health

No code analysis and reporting of your data lake and lake house.

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Incident management

Alerting, ticketing, investigation and remediation workflows.

Data Observability product tour

Unlock the Full Potential of Your Data + AI Initiatives

Ready to build reliable, AI-ready data products? Schedule a meeting with one of our data observability experts to:

  • Understand how Actian Data Observability provides comprehensive visibility and ensures the health of your data pipelines.
  • Explore the features that proactively detect issues and minimize business impact.
  • Get insights into how to integrate data observability seamlessly with your existing data stack.

Ready to Dive Deeper? Request a personalized meeting today.

Connect With an Actian Specialist

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