Composable Data Infrastructure: what, why, and how it enables scalable, AI-ready data platforms.
Автор: MindFDev
Загружено: 2026-01-20
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Modern data platforms fail not because they lack tools, but because they are locked in, tightly coupled, and hard to evolve.
In this episode, we explore Composable Data Infrastructure, a design philosophy that treats the data stack as interchangeable building blocks rather than a monolith.
We walk through
Why monolithic data platforms limit flexibility and portability
How open table formats and object storage changed the data foundation
The role of catalogs as the control plane of modern data systems
Why federated catalogs matter in multi engine and multi cloud setups
How catalog replication enables interoperability without centralization
What composability means for AI, analytics, and future workloads
This is not about choosing the best data tool.
It is about designing data systems that can adapt, integrate, and scale with change.
📌 Playlist The Art of Data Engineering
🎥 Episode Composable Data Infrastructure
#ComposableData
#DataEngineering
#ModernDataStack
#DataArchitecture
#OpenStandards
#FederatedCatalog
#Lakehouse
#AIDataPlatforms
#EngineeringMindset
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