The data mesh makes business domain experts the owners of their data, which they deliver as a “data product” to analytics teams using a self-service data platform and a federated governance framework.

Published at:

https://www.eckerson.com/articles/why-enterprises-should-implement-the-data-mesh-with-dataops

An operating model for data & analytics is critical for aligning resources across the enterprise and balancing the needs for agility and governance. An effective operating model is critical to data & analytics success and its creation and upkeeping should be the primary focus of a chief data officer.

Published at:

https://www.eckerson.com/articles/an-operating-model-for-data-analytics

In this article, Lawson Abinati lays out core principles for market positioning that apply across all industries, as well as to Business Intelligence (BI) professionals. Although many business intelligence (BI) managers see themselves as technologists first, unless they understand the soft skills of sales, marketing, and communication, they won't succeed professionally or make good on their organization's investments in BI.

Published at:

https://www.eckerson.com/articles/what-is-positioning-and-why-is-it-important

This article summarizes the major characteristics of a modern data architecture and serves as a guide for organizations that are in the midst of developing a new data strategy for the modern age.

Published at:

https://www.eckerson.com/articles/ten-characteristics-of-a-modern-data-architecture

An analytics center of excellence is the cornerstone of every data strategy, yet few data leaders know how to design one that works effectively. The key is to embrace federated techniques that balance standards and speed, agility and governance. This article explains the core components of an analytics center of excellence.

Published at:

https://www.eckerson.com/articles/how-to-design-an-analytics-center-of-excellence

Design patterns have proven valuable in many endeavors. Can data pipeline design patterns help to break the data engineering logjam?

Published at:

https://www.eckerson.com/articles/data-pipeline-design-patterns

The need for adaptable data management architecture has never been more pressing. Yet getting there seems to be more confusing than ever. The field is rampant with buzzwords: data lake, data lakehouse, data fabric, data mesh, data hub, data as a network. Making sense of the confusion begins with sorting out the buzzwords.

Published at:

https://www.eckerson.com/articles/data-architecture-complex-vs-complicated

Data mesh is an evolutionary concept that’s gained a lot of traction in the software engineering world. It’s both exciting and unnerving—exciting because it represents a sea change in engineering attitudes toward data; unnerving because of its potential to create organizational confusion.

Published at:

https://www.eckerson.com/articles/the-exciting-unnerving-vision-of-data-mesh

This article, the second in a series, shares cutting-edge examples of location intelligence applications from the real world to help readers understand what’s possible with geospatial data.

Published at:

https://www.eckerson.com/articles/location-intelligence-part-ii-real-world-examples-from-businesses-that-use-geospatial-data

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