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Archive
🎯 End-to-End Guide to Building Data Products and Modular AI-Systems
Collection of our Top Resources, from Strategy to Data Product Evolution, and more!
Dec 1, 2023
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Modern Data 101
54
4
Decentralizing an Organization: Beyond Data Mesh
Architecting the decentralized enterprise, the symbiotic exchanges between data mesh and "service mesh," and the role of unified data platforms
Mar 5
•
Vlad Radziuk
26
2
5
How Long Until We Call AI Agents Data Products
Most teams treat agents like experiments. The ones that survive production treat them like data products with users, feedback loops, and a roadmap.
Mar 2
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Alejandro Aboy
33
4
10
Most Popular
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AI-Ready Data vs. Analytics-Ready Data
Jan 5
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Animesh Kumar
137
8
24
Where Exactly Data Becomes Product: Illustrated Guide to Data Products in Action
Aug 1, 2024
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Animesh Kumar
and
Travis Thompson
91
1
4
How the Ontology Pipeline Powers Semantic Knowledge Systems
Mar 20, 2025
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Jessica Talisman
95
16
14
Data Products: A Case Against Medallion Architecture
Feb 13, 2025
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Animesh Kumar
,
Shubhanshu Jain
, and
Samadrita Ghosh
77
9
7
Introducing Lakehouse 2.0: What Changes?
Apr 18, 2025
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Animesh Kumar
and
Travis Thompson
65
6
AI-Ready Data: A Technical Assessment. The Fuel and the Friction.
Sep 11, 2025
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Sagar Paul
40
2
8
Latest
Top
Discussions
Data Ownership in Practice: Defining Decision Rights in Enterprise Data Governance
Why Effective Governance Depends on Explicit Authority, Risk Acceptance, and Designed Decision Rights
Feb 26
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Antonio Sánchez Gómez
28
6
The Semantic Infrastructure Opportunity: Building Meaningful Operational Frameworks
Ontology Pipeline as a strategic framework for semantic engineers to prove their professional value by linking abstract models to functional entity…
Feb 23
•
Jessica Talisman
43
15
7 Minutes to Understand the New Spark Streaming Feature that Changes Everything
How Spark 4.1’s Real-Time Mode Breaks the Micro-Batch Barrier and Brings Millisecond Latency to Structured Streaming
Feb 19
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Vu Trinh
34
1
12
Architectural Standards for Data Products and AI Interactions: Emergent & Aligned Patterns
The Emergence of Unified Standards: From MCPs and Data Products to Unified Data Platforms. Unifying Purpose, Platform, and Protocol to Scale…
Feb 16
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Animesh Kumar
and
Travis Thompson
43
2
8
Never seen a data quality issue that wasn’t actually an ownership problem | John Wernfeldt
Why most “data quality issues” are actually ownership failures
Feb 12
•
John Wernfeldt
36
2
8
From Policy to Practice: Making Data Governance Real
How governance starts having measurable returns only after disappearing
Feb 9
•
Olawale Oyeneye
16
7
Modern Data Report 2026: What 500+ Data Leaders and Experts Say on AI-Readiness
Global signals on data activation and AI readiness from 540+ data leaders, subject matter experts, and practitioners from across 64 countries and ~30…
Feb 4
37
2
9
Solving the Engineering Problem that Makes AI Actually Useful: Building the Axle
Precision-engineering for the four tolerance challenges of enterprise AI
Feb 2
•
Sagar Paul
16
7
Demystifying SKOS for Practitioners: A Practical Guide to Controlled Vocabularies
Semantics, standards, and structure: how SKOS, taxonomies, and controlled vocabularies power interoperability, governance, and meaning at scale in…
Jan 29
•
Heather Hedden
31
10
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