QuerySurge & Azure Data Lake
Automate continuous source‑to‑target testing across
Azure Data Lake and downstream analytics,
so only trusted data moves through the pipeline
Why QuerySurge + Azure Data Lake
Azure Data Lake Storage (ADLS) is the backbone for landing, curating, and serving large‑scale data on Azure. But ingestion and transformation alone do not guarantee accuracy.
QuerySurge delivers automated, audit‑ready validation for every dataset as it moves through your lake zones and into analytics platforms like Synapse, Databricks, and Power BI.
What you get together:
- Automated validation at cloud scale: Compare files, tables, and views inADLS/Synapse/Databricks with row‑/field‑level precision.
- DevOps for Data: Embed quality gates in Azure Data Factory, Synapse pipelines, orDatabricks jobs.
- End‑to‑end traceability: Dashboards and reports prove readiness for analytics andcompliance.
How the Integration Works
Secure Connectivity
Configure QuerySurge Agents with Azure credentials (Service Principal/Managed Identity) to access ADLS containers, Synapse SQL pools, Databricks catalogs, Azure SQL, or external sources.
Test Design
- Create query pairs and file comparisons to validate:
- Landing → Curated (Bronze → Silver)
- Curated → Serving (Silver → Gold)
- External sources → ADLS targets
- ADLS → Synapse/Delta tables/Power BI models (via SQL endpoints)
Automation in Pipelines
Call QuerySurge’s DevOps API from Azure Data Factory, Synapse pipelines, or Databricks notebooks/jobs to trigger suites after data loads or transformations. Use pass/fail to gate promotions.
Results & Governance
QuerySurge stores the full execution history and differences. Expose dashboards to stakeholders, export audit evidence, and push results to ticketing/alerting systems.
Key Benefits
Benefit |
Why It Matters |
|---|---|
Lake‑native validation |
Validate Parquet/CSV/JSON/XML in ADLS and Delta/SQL in Synapse/Databricks without unnecessary data movement. |
Continuous quality gates |
Block bad data from advancing between Bronze, Silver, and Gold layers via API‑driven pass/fail signals. |
End‑to‑end coverage |
Compare across heterogeneous sources (on‑prem DBs, SaaS, files) into ADLS and downstream Azure analytics. |
Speed and scale |
Parallel Agents validate millions of rows and very large files quickly. |
Audit‑ready reporting |
Dashboards, drill‑downs, and exportable reports for SOX, HIPAA, GDPR, and internal governance. |
CI/CD alignment |
Integrate with GitHub Actions, Azure DevOps, or Jenkins to run tests on every deployment. |
Lower risk, faster releases |
Catch mismatches early, reduce rework, and accelerate delivery to analytics users. |
Ready to Validate Your Data Lake?
Add automated, audit‑ready testing to your Azure Data Lake so your Synapse, Databricks, and Power BI users always work with trusted data.
