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Eliminate Data Pipeline Downtime with Reliable Data Processing, Quality and Consistency

Data pipelines are modern supply chains for digital information. When they break, business grinds to a halt. Avoid broken data pipelines with data observability capabilities that analyze information across compute, data, and pipeline layers to resolve issues that break production analytics and AI workloads. For example, at the compute layer, identify performance trends that warn of future outages. At the data layer, automatically detect anomalies in quality and consistency, both at rest and in motion, and use data drift monitoring to avoid impacting the accuracy of models.

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Whitepaper

Harness Snowflake Data’s Full Potential with Dremio

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Whitepaper

Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

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Whitepaper

Dremio Upgrade Testing Framework

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Bring your users closer to the data with organization-wide self-service analytics and lakehouse flexibility, scalability, and performance at a fraction of the cost. Run Dremio anywhere with self-managed software or Dremio Cloud.