Data fabric is one of those buzzwords that’s used so much and in so many ways that it often elicits an eyeroll—undeservedly so. The phrase is shorthand for a complex and important set of issues that we’re all working to manage. In this article we’ll review what data fabric is and why it’s important.
Published at:
https://www.eckerson.com/articles/data-fabric-s-use-of-abstraction-and-metadata

Data Fabric’s Use of Abstraction and Metadata - Audio Blog

Over the past 20 years or more, data architecture practices have focused almost exclusively on managing data for analytics. Operational data is much more than source data for analytics. We must give attention to operational data architecture or pay the price in data disparity, data friction, and technical debt.
Published at:
https://www.eckerson.com/articles/operational-data-architecture

Operational Data Architecture

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An operational data hub (ODH) is a pattern in data architecture that provides a central location and a standard protocol for operational systems to communicate about and share data among themselves. Operational systems post messages about data events (add, change, delete) and subscribe to messages of interest posted by other applications. The hub works to share data among applications without the clutter and chaos of point-to-point data feeds.
Published at:
https://www.eckerson.com/articles/operational-data-hub-responding-to-data-friction-and-technical-debt

Operational Data Hub – Responding to Data Friction and Technical Debt

Many organizations abandoned data modeling as they embraced big data and NoSQL. Now they find that data modeling continues to be important, perhaps more important today than ever before. With a fresh look you’ll see that today’s data modeling is different from past practices – much more than physical design for relational data.
Published at:
https://www.eckerson.com/articles/a-fresh-look-at-data-modeling-part-1-the-what-and-why-of-data-modeling

A Fresh Look at Data Modeling Part 1: The What and Why of Data Modeling - Audio Blog

Data modeling is a core skill of data engineering, but it is missing or inadequate in many data engineering teams. These teams focus on moving data with little attention to shaping the data. They engineer processes, not products. Full data engineering is both process and product engineering, and that calls for data modeling.
Published at:
https://www.eckerson.com/articles/a-fresh-look-at-data-modeling-part-2-rediscovering-the-lost-art-of-data-modeling

A Fresh Look at Data Modeling Part 2: Rediscovering the Lost Art of Data Modeling - 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

Companies need to invest heavily in teams and people, both at corporate and in the field, if they want to become a data-driven organization.
Published at:
https://www.eckerson.com/articles/organizing-for-success-part-iii-how-to-organize-and-staff-data-analytics-teams

Organizing for Success Part III: How to Organize and Staff Data Analytics Teams - Audio Blog

Non-profit organizations are more mission-driven, consensus-driven, and resource-constrained than commercial organizations. As a result, it’s imperative that non-profits develop a data strategy before plunging into building data solutions. It will save them time, money, and burnout in the long run.
Published at: https://www.eckerson.com/articles/why-non-profits-need-a-data-strategy

Why Non-Profits Need a Data Strategy - Audio Blog

Data analytics is a balance of flexibility for innovation and governance to control risks. This blog discusses its implications for artificial intelligence (AI), including machine learning (ML) and generative AI (GenAI).
Published at:
https://www.eckerson.com/articles/ai-ml-innovation-requires-a-flexible-yet-governed-data-architecture

AI/ML Innovation Requires a Flexible Yet Governed Data Architecture - Audio Blog

Many data leaders want to implement self-service, but don’t realize that they first have to implement the right architecture, governance, operating model, project delivery approach, data, and change management plan.
Published at:
https://www.eckerson.com/articles/self-service-is-the-outcome-not-the-driver-of-a-data-driven-organization

Self-Service is the Outcome, Not the Driver of a Data-Driven Organization - Audio Blog

A fresh perspective on data architecture, advocating for an 'anti-monolith' approach inspired by engineering best practices.
Published at: https://www.eckerson.com/articles/good-data-architecture-anti-monolith

Good Data Architecture - Anti-Monolith - 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.

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