DataKitchen

SEPTEMBER 18, 2024

These leaders are expected to influence organizational behavior without direct authority, leading to what DataKitchen CEO Christopher Bergh described as “data nags”—individuals who know what’s wrong but struggle to get others to act. Who should make the change (data engineers, system owners, or data quality professionals).

Scorecard 180

Scorecard Data Quality Measurement Testing 180

AWS Big Data

JUNE 21, 2023

Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional databases, we would model such applications using a normalized data model (entity-relation diagram).

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

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. Avik Bhattacharjee is a Senior Partner Solutions Architect at AWS.

Data Quality 97

Data Quality Metrics Visualization Dashboards 97

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? Data may be perfectly valid, but still not represent reality. It is hard to account for such tweaking in measurement systems.

Metrics 49

Metrics Statistics Data Quality Measurement 49

CIO Business Intelligence

JANUARY 16, 2025

Ultimately, the intent, however, is generally at odds with measurably useful outcomes. The scorecard speaks for itself. By the peak of the pandemic, aggregated systems of record data in SaaS-based data lake houses became the preferred destination for global enterprises.

Enterprise 105

Enterprise Digital Transformation Scorecard Interactive 105