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One Big Cluster Stuck: Environment Health Scorecard

Cloudera

What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. Data Quality & Data Governance Extensibility Like data standardization this goes to the heart of trusted data.

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Cindy Howson: Best Practices for AI and the Joy of Hosting a Podcast

DataRobot

Now the chief data strategy officer at the company ThoughtSpot and host of the podcast The Data Chief , Howson has been in the data business for three decades. Cindi talks about these and other topics in her podcast, The Data Chief. I love being a host,” she says. “I I learn so much from my guests.”.

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Choose the Right Mobile BI Vendor to Ensure Success

Smarten

With the introduction of Artificial Intelligence and Machine Learning, as well as data visualization tools, designed for charting, dashboards and performance scorecards. The emergence of Big Data and Bring Your Own Device (BYOD) has become popular as users share, communicate and collaborate using cloud-based platforms and networks.

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What is Mobile Business Intelligence (BI), How Can it Help Your Business, and What You Should Know Before You Decide

Smarten

With the introduction of Artificial Intelligence and Machine Learning, as well as data visualization tools, designed for charting, dashboards and performance scorecards. The emergence of Big Data and Bring Your Own Device (BYOD) has become popular as users share, communicate and collaborate using cloud-based platforms and networks.

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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

Furthermore, data quality tests serve multiple vital purposes beyond just catching issues in production. They are crucial for data quality scorecards, which help track the long-term health of an organization’s data. These scorecards are essential for regulatory compliance, executive reporting, and decision-making.

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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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How Data Quality Leaders Can Gain Influence And Avoid The Tragedy of the Commons

DataKitchen

On the other hand, data engineers and analysts are responsible for maintaining data accuracy but struggle to get buy-in from stakeholders, who do not prioritize data quality until it becomes a crisis. Compounding the issue, data governance policies tend to be unclear or poorly enforced.