Tag:semantic layer
All the articles with the tag "semantic layer".
- 31 MIN READ•Sep 10, 2026
Agentic Data Architecture
A six-layer reference architecture for agents on company data: planners, tool boundaries, identity, the semantic layer, and what breaks when a layer is missing.
Agentic AIdata architecturesemantic layer - 31 MIN READ•Sep 10, 2026
Context Engineering for Data Agents
Why text-to-SQL accuracy collapses on enterprise schemas, the five kinds of context an agent needs, where each one hides, and how to make the semantics legible.
context engineeringsemantic layertext-to-SQL - 31 MIN READ•Aug 25, 2026
Apache Ossie and Apache Polaris: Putting Semantic Models in the Open Catalog
Apache Ossie and Polaris put metric definitions in the open catalog. What the spec covers, what Polaris stores, and what is still unfinished.
Apache OssieApache Polarissemantic layer - 31 MIN READ•Aug 25, 2026
Metric Contracts in Code: Testing, Versioning, and Serving Business Logic to Multi-Agent Systems
Metric contracts in code let teams test, version, and serve business logic to multi-agent systems without each agent inventing its own SQL.
metricsAI agentssemantic layer - 31 MIN READ•Aug 25, 2026
Semantic Layer Federation: One Logical Model Over Data on Three Clouds
One logical model over Iceberg and databases on three clouds. Pushdown, egress, Reflections, and where semantic federation still breaks.
semantic layerfederationmulti-cloud - 31 MIN READ•Aug 19, 2026
The Five Layers of an Agentic Lakehouse
The five layers of an agentic lakehouse: Storage, Catalog, Semantic, Gateway, and Agent Surface, and how one question travels through all of them.
agentic lakehousearchitectureMCP - 31 MIN READ•Aug 19, 2026
Metric Contracts in 2026: Standardizing Business Logic Across Multi-Agent Frameworks
Metric contracts in 2026: versioned, testable definitions of business logic that let multi-agent frameworks compute revenue identically, with OSI interchange.
metric contractssemantic layerAI agents - 30 MIN READ•Aug 19, 2026
Semantic Layer Federation: One Meaning for Data That Lives Everywhere
Build a federated semantic layer across multi-cloud data so one set of governed metric definitions serves BI tools, dashboards, and AI agents identically.
semantic layerfederationmulti-cloud - 21 MIN READ•Aug 4, 2026
Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context Protocol
Why agentic AI needs a governed semantic layer behind the Model Context Protocol: metric consistency, access control, Apache Ossie for portable.
AI AgentsMCPSemantic Layer - 21 MIN READ•Aug 4, 2026
Metric Contracts as the Interface AI Agents Actually Need
Metric contracts as the interface AI agents need: calculation, inclusion rules, grain, temporal semantics, ownership, semantic versioning, and testing.
AI AgentsMetric ContractsSemantic Layer - 31 MIN READ•Jul 28, 2026
Why AI Agents Fail on Raw Data, and What to Give Them Instead
Agents fail on raw lake data because business rules live in people's heads. Data products with semantic contracts fix this at the source.
AI AgentsApache IcebergSemantic Layer - 31 MIN READ•Jul 28, 2026
The Five Layers Between Your Lakehouse and a Trustworthy Agent
Agent reliability is a property of the stack the model sits on. Five layers with distinct owners and failure modes turn the agent is unreliable.
AI AgentsApache IcebergData Architecture