We must treat metadata like a fully-vested member of the enterprise data landscape. A unifying taxonomy is a good place to start making metadata a focus of data management rather than just a tool. This article explores how to start wrangling diverse and distributed metadata.
Published at:
https://www.eckerson.com/articles/wrangling-metadata-making-it-the-object-of-data-management

Wrangling Metadata: Making It the Object of Data Management - Audio Blog

Traditional techniques for managing data quality break at scale. Machine learning algorithms can automate aspects of the data quality workload, ensuring that the data the business users consume is reliable. This article profiles three tools and approaches that use ML to automate data quality.
Published at:
https://www.eckerson.com/articles/three-data-quality-automation-tools-you-should-consider

Three Data Quality Automation Tools You Should Consider

A robust data workflow testing strategy helps ensure the accuracy and reliability of data processed within a pipeline. Use this checklist to meet your organization’s data quality requirements according to the dimensions of accuracy, completeness, conformity, consistency, integrity, precision, timeliness, and uniqueness.
Published at: https://www.eckerson.com/articles/developing-a-robust-data-quality-strategy-for-your-data-pipeline-workflows

Developing a Robust Data Quality Strategy for Your Data Pipeline Workflows - Audio Blog

Most organizations view data as an asset to be actively managed with standards, controls, and discipline. Yet, they are passive and casual about metadata. Data is managed. Metadata happens. As data management becomes more complex, metadata management is becoming an essential discipline. It is time to think about metadata management from an architectural perspective.
Published at: https://www.eckerson.com/articles/an-architectural-view-of-metadata-management

An Architectural View Of Metadata Management - Audio Blog

Let's reflect on the events of the past year and prognosticate on what may transpire in the months ahead.
Published at:
https://www.eckerson.com/articles/trends-for-2024-our-team-gazes-into-the-crystal-ball

Trends for 2024: Our Team Gazes into the Crystal Ball - Audio Blog

Exploring data observability’s limits in data migration, integrity audits, and the need for specialized tools for reliability.
Published at:
https://www.eckerson.com/articles/the-shiny-allure-of-data-observability-its-limits-in-data-migration-integrity-audits-and-certification

The Shiny Allure of Data Observability - Audio Blog

This article by Piotr Czarnas, founder of DQOps, outlines a proven, team-based approach to tackling persistent issues like invalid data, delayed reporting, and inconsistent formats.
Published at:
https://www.eckerson.com/articles/overcoming-the-challenge-of-low-data-quality

Overcoming The Challenge of Low Data Quality - Audio Blog

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

New tracks tagged #DataObservability