Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time g
Exploring data observability’s limits in data migration, integrity audits, and the need for speciali
A strategic approach to data monetization covering key processes, risks, and organizational shifts n
A fresh perspective on data architecture, advocating for an 'anti-monolith' approach inspired by eng
Many practitioners view data mesh and data fabric as mutually exclusive approaches to data strategy.
As organizations grapple with data spread across various storage locations, solutions like Coginiti
This blog post explores the evolving landscape of data catalogs, highlighting ten key market trends
Data teams must filter, blend, and refine raw data inputs to create the high-octane fuel that drives
With numerous data catalog options available, all claiming to be the best, how do you make an inform
This blog describes the need for data teams to establish a flexible yet well-governed data architect
Many data leaders want to implement self-service, but don’t realize that they first have to implemen
Explore the essential characteristics to choose the right conversational query tool for your needs a
Data analytics is a balance of flexibility for innovation and governance to control risks. This blog
Non-profit organizations are more mission-driven, consensus-driven, and resource-constrained than co
Explore the reasons for data engineers to collaborate with data scientists, machine learning (ML) en
This blog explores three criteria to evaluate tools that manage unstructured data pipelines for GenA
If your data team wants to implement data products, it would be wise to avoid these 12 pitfalls that
This article compares data catalogs and data marketplaces and argues that you need both and will soo
This blog defines conversational BI, why companies should consider it, and how their power and casua
Data engineering is now considered a crucial job in IT as Generative AI, the hottest technology of t
Data engineers and data scientists must manage pipelines for unstructured data to ensure healthy inp
