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Ensure Data Quality & Observability for Azure

Achieve reliable, accurate data with end-to-end data observability and quality across Azure services with DQLabs.

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Trusted Data. Reliable Outcomes—Across Azure.

DQLabs ensures your Azure data is accurate, actionable, and governed for frictionless analytics, AI, and business decision-making.

Unified Data Quality
Across Azure Services

Ensure accurate and consistent data across Azure environments, including Azure Data Lake Storage (ADLS), Synapse Analytics, Azure Data Factory (ADF), and Power BI.

Real-Time Anomaly Detection

Identify and resolve schema drift, data inconsistencies, and anomalies in real time—ensuring data integrity throughout Azure workloads.

Continuous Quality
Automation

Run ongoing checks to validate and refresh data at every stage, ensuring your Azure pipelines always deliver up-to-date and trustworthy information.

Effortless Azure
Integration

Connect with core Azure services in just a few clicks. DQLabs’ no-code integration embeds quality controls natively, so your teams can boost data reliability without changing how they work.

Comprehensive Governance & Lineage

See the full journey of your data as it flows through Azure. Maintain compliance, enable audits, and manage privacy with fine-grained transparency and traceability across all your critical sources.

Key Capabilities

End-to-End Data Observability

Anomaly Detection

Automated Data Validation

Schema Drift Monitoring

Data Lineage & Governance

End-to-End Data Observability

Gain clear, continuous insight across your Azure ecosystem with DQLabs. From data ingestion to reporting, every asset in ADLS, Synapse, ADF, and Power BI is monitored for quality and reliability.

  • Ensure accuracy from source to dashboard.
  • Maintain strong data health across services.
  • Gain operational visibility into every workflow.

AI-Driven Anomaly Detection

DQLabs leverages adaptive machine learning to surface irregularities unique to your Azure workloads. Instantly spot disruptions—like late-arriving data or unplanned format shifts—enabling continuous trust in your data and minimizing data downstream.

  • Identify anomalies before they impact reports.
  • Catch schema drift and data inconsistencies instantly.
  • Ensure reliable data insights for decision-making.

Automated Data Validation

DQLabs enforces automated, continuous data checks throughout your Azure pipelines. Every dataset is validated for quality, freshness, and completeness at each step.

  • Validate data across ADLS, Synapse, and ADF.
  • Ensure ongoing compliance and readiness.
  • Reduce manual intervention for quality assurance.

Schema Drift Monitoring

Track changes in data structure as your Azure assets evolve. DQLabs pinpoints schema updates across Synapse and Data Lake, reducing unforeseen errors and downtime.

  • Monitor schema changes automatically.
  • Prevent disruptions from evolving datasets.
  • Maintain consistency across all integrations.

Data Lineage & Governance

Visualize and manage comprehensive data lineage through your Azure landscape. DQLabs enhances governance, security, and auditability with robust Azure AD integration.

  • Trace data flow end-to-end.
  • Simplify regulatory compliance.
  • Strengthen data security and stewardship.

DQLabs Integration Across Azure Ecosystem

DQLabs seamlessly integrates with key Azure services, providing comprehensive data quality and observability.

Azure Synapse Analytics

  • Validate data during loading and transformation
  • Detect issues and schema drift instantly
  • Ensure analytics are powered by trusted data

Azure Data Lake Storage (ADLS)

  • Profile and monitor all stored datasets
  • Catch anomalies at the ingestion stage
  • Maintain consistency across diverse sources

Azure Data Factory (ADF)

  • Embed quality checks within every pipeline
  • Monitor data reliability during movement
  • Accelerate issue resolution with automated lineage

Azure Active Directory

  • Enable secure, centralized user access
  • Simplify authentication and governance
  • Align user permissions with data policies

End-to-End Reliability for
Your Modern Data Stack

DQLabs integrates with data warehouses, lakes/lakehouses, orchestration tools, and BI platforms to deliver trusted, reliable data.

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Platform Architecture

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Discover Agentic AI-powered observability, quality, and discovery in one unified platform.

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