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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

With automatic scorecards generated for your table groups, you can visualize data hygiene instantly. Better Metadata Management Add Descriptions and Data Product tags to tables and columns in the Data Catalog for improved governance. This game-changing capability brings more profound insights and greater control over your data health.

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One Big Cluster Stuck: Environment Health Scorecard

Cloudera

The Environmental Health Scorecard We track environment health at the macro level with a dashboard that mirrors our blog series methodology with a few additions. The trust develops through an understanding of the data as maintained through metadata in your Data Catalog : classification, lineage, currency, and business context.

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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

The Weekly Business Review (WBR) Backlog Summary dashboard that replaced the complex scorecards with interactive QuickSight visuals: Implementing the FAIRS data sharing framework QuickSight improves the ability to securely Find, Access, Interoperate, and Reuse (FAIRS) the data across ProServe, AWS, and Amazon.

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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

Business metrics – Providing KPIs, scorecards, and business-relevant benchmarks. In parallel, the Pinot controller tracks the metadata of the cluster and performs actions required to keep the cluster in an ideal state. Anomaly detection – Identifying outliers or unusual behavior patterns.

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Data Catalogs Serve Multiple Roles and Use Cases

David Menninger's Analyst Perspectives

Metadata management has played a role in data governance and analytics for many years. It wasnt until the emergence of the data catalog as a product category just over a decade ago that enterprises had a platform for metadata-driven data management that could span multiple departments and use cases across an entire enterprise.

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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

The scorecard speaks for itself. Semi-autonomous, human-mediated conversations and agents trigger workflow automation based on events, interactions, system metadata and aggregated enterprise data platforms. A study by McKinsey found that less than 30% of digital transformation initiatives are successful in achieving their objectives.