The data mesh is an attempt by software engineers to remake the data industry in their image. There is a lot of goodness in the data mesh but will it work? The track record for other reform efforts is not good, although new technologies are putting wind into the methodology.

Published at:

https://www.eckerson.com/articles/data-mesh-translated-software-engineers-try-to-reform-data

Data Stewardship Experience strategies (personal growth, community, societal contribution, and disruptive innovation) can meet several cognitive, social, and psychological needs, and motivate professionals to become productive data stewards. It also removes the stigma of data governance as a rigid and bureaucratic gatekeeping discipline.

Published at:

https://www.eckerson.com/articles/improving-the-data-stewardship-experience-dsx-productive-motivational-strategies-for-data-governance

Decision AI is an emerging discipline that enables faster, smarter operational decisions by combining decision intelligence and contextual intelligence.

Published at:

https://www.eckerson.com/articles/decision-ai-and-the-opportunity-for-smarter-faster-actions

This audio blog, the third and final in a series, recommends five guiding principles for success.

Published at:

https://www.eckerson.com/articles/the-customer-360-data-program-and-cloud-connectors-guiding-principles-for-success

Consider key trends and challenges as you design an effective organizational architecture for data governance while generating value with pervasive analytics.

Published at:

https://www.eckerson.com/articles/organizational-architecture-can-make-or-break-your-data-governance-program

At Summit 2022, Snowflake paints a picture of a utopian data future where all data is treated equally regardless of where it comes from or what language is used to process it, where processing resources are limitless, and all data is secured and governed.

Published at:

https://www.eckerson.com/articles/snowflake-summit-2022-growth-vision-and-strategies

Providing analysts with tools that increase their efficiency is critical to helping them do more work with less effort.

Published at:

https://www.eckerson.com/articles/a-data-analyst-s-guide-to-the-data-catalog

This blog recommends criteria for enterprises to evaluate cloud connectors and ensure the benefits outweigh the costs.

Published at:

https://www.eckerson.com/articles/evaluating-cloud-connectors-for-the-customer-360-data-program

Machine learning models help respond to the time-based value and risks of business events. To achieve this on an ongoing basis, enterprises should build a streaming ML program based on sound business objectives, a cross-functional team, open platforms, and phased execution.

Published at:

https://www.eckerson.com/articles/machine-learning-and-streaming-data-pipelines-part-iii-guiding-principles

Enterprise data teams embrace DataOps to achieve new levels of efficiency and effectiveness in delivering data-driven solutions. Roche shows what’s possible when you combine a state-of-the-art cloud data platform with a data mesh architecture and DataOps solution.

Published at:

https://www.eckerson.com/articles/what-can-dataops-do-for-you-ask-roche