DataKitchen

FEBRUARY 20, 2025

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.

Data Quality 187

Data Quality Scorecard Testing Dashboards 187

AWS Big Data

JUNE 6, 2023

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.

Data Quality 97

Data Quality Metrics Visualization Dashboards 97

Cloudera

JULY 17, 2023

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. We’ve shared code, dashboards, and tools to help you on your health improvement journey. Think about that.

Scorecard 69

Scorecard Measurement Dashboards Data-driven 69

AWS Big Data

JUNE 14, 2023

In this post, we discuss how QuickSight has helped us improve our performance, democratize our data, and provide insights to our internal customers at scale. One of our ProServe teams has 19 dashboards on QuickSight, including Catalog, Trend and Analysis, KPI Monitoring, Business Management, and Quality Control.

Dashboards 104

Dashboards KPI Scorecard Metadata 104

FineReport

APRIL 26, 2023

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. Offers interactive and shared dashboards. Allows for batch processing.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Statistics 49

Statistics Metrics Data Quality Measurement 49

DataKitchen

FEBRUARY 17, 2025

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.

Data Quality 187

Data Quality Testing Scorecard Data-driven 187