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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

Announcing DataOps Data Quality TestGen 3.0: Open-Source, Generative Data Quality Software. You don’t have to imagine — start using it today: [link] Introducing Data Quality Scoring in Open Source DataOps Data Quality TestGen 3.0! New Quality Dashboard & Score Explorer.

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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Another distinct trait of this software is its feature of data entry.

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Webinar: Announcing Actionable, Automated, & Agile Data Quality Scorecards – 2024

DataKitchen

Announcing Actionable, Automated, & Agile Data Quality Scorecards Are you ready to unlock the power of influence to transform your organizations data qualityand become the hero your data deserves? It connects to your data, learns, and uses AI to identify 51 specific data quality issues.

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No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically

DataKitchen

No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically As a data engineer, ensuring data quality is both essential and overwhelming. But theres a growing problemdata quality testing is becoming an unsustainable burden.

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Data Catalogs Serve Multiple Roles and Use Cases

David Menninger's Analyst Perspectives

This inventory can be used by data administrators and data engineers to discover, manage and optimize the data while also providing insights on data usage, data lineage and data quality, as well as security and access control.

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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

The scorecard speaks for itself. The real risk of making impactful business decisions with questionable data lineage and quality was obvious. Data and AI-driven conversations are now emerging between humans and systems where agency and interoperability now replace codified integration and centralization.