Tag:semantic layer
All the articles with the tag "semantic layer".
- 29 MIN READ•Jul 6, 2026
The State of Agentic AI Standards in 2026: MCP, A2A, WebMCP, OSI, and the Protocol Stack Taking Shape
The agentic AI protocol stack is solidifying in 2026 — MCP for tools, A2A for agents, WebMCP for the web, OSI for semantics, payments, identity, and security.
Apache Icebergdata engineeringlakehouse architecture - 14 MIN READ•Jun 22, 2026
The Model Is Not the Moat
Enterprise AI advantage increasingly comes from governed context, semantic models, and operational data contracts, not only from model choice.
enterprise AI moatsemantic layergoverned lakehouse AI - 15 MIN READ•Jun 8, 2026
Composable Analytics Beats Metric Catalogs
Metric catalogs tell agents what terms mean. Composable analytics tells agents how to reason with those terms safely.
semantic layerdata governancecomposable analytics - 15 MIN READ•Jun 8, 2026
Implementing MCP in the Lakehouse
MCP gives AI clients a standard way to call governed lakehouse tools instead of guessing how to query your data.
lakehousesemantic layerdata governance - 15 MIN READ•Jun 8, 2026
SaaS Buyers Now Inspect Your Semantic Layer
Enterprise SaaS buyers increasingly want machine-readable data contracts, not only dashboards.
semantic layerdata governanceSaaS procurement - 14 MIN READ•Jun 8, 2026
Semantic View Autopilot in Snowflake Semantic Studio
Autopilot can draft semantic views quickly, but production semantics still need human review, tests, and governance.
Snowflakesemantic layerdata governance - 7 MIN READ•Apr 29, 2026
Hands-On with Apache Iceberg Using Dremio Cloud
A practical walkthrough of creating, querying, and optimizing Iceberg tables on Dremio Cloud, from account setup to AI-powered analytics.
Dremio Cloud Apache IcebergDremio Cloud tutorialIceberg hands-on - 7 MIN READ•Feb 18, 2026
Semantic Layer Best Practices: 7 Mistakes to Avoid
Semantic layers don't fail because the technology is wrong. They fail because of design decisions made in the first two weeks : choices that seem reasonable ...
semantic layerdata engineeringbest practices - 5 MIN READ•Feb 18, 2026
How a Self-Documenting Semantic Layer Reduces Data Team Toil
Every data team knows documentation is important. And almost every data team has a backlog of undocumented tables, unlabeled columns, and outdated descriptio...
semantic layerdata engineeringdocumentation - 5 MIN READ•Feb 18, 2026
Headless BI: How a Universal Semantic Layer Replaces Tool-Specific Models
Your organization uses Tableau for executive dashboards, Power BI for operational reports, and Python notebooks for data science. Revenue is defined in Table...
semantic layerdata engineeringheadless BI - 6 MIN READ•Feb 18, 2026
Data Virtualization and the Semantic Layer: Query Without Copying
Every data pipeline you build to move data from one system to another costs you three things: time to build it, money to run it, and freshness you lose while...
semantic layerdata engineeringdata virtualization - 6 MIN READ•Feb 18, 2026
The Role of the Semantic Layer in Data Governance
Most organizations have a data governance policy. It lives in a Confluence page. It defines who owns what data, what terms mean, and who should have access. ...
semantic layerdata engineeringdata governance