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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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Webinar: A New, More Effective Approach To Data Quality Assessments

DataKitchen

A New, More Effective Approach To Data Quality Assessments In DataKitchens recent webinar, CEO Christopher Bergh offered a compelling new approach to a timeless problem: how do we improve data quality in organizations where no one truly owns it, everyone needs it, and no one has the authority to enforce change?

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Jet Global

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. This can raise concerns about data privacy and security.