Tag:agentic analytics
Articles tagged "agentic analytics".
- 31 MIN READ•Oct 21, 2026
Your Data Agents Are CPU-Bound, and the Hardware Market Just Noticed
Analytics agents spend most of their time on CPU-bound tool calls, not the model. Size three planes separately and measure your ratio from traces.
agentic analyticsAI agentslakehouse - 15 MIN READ•Mar 5, 2026
Connect Dremio to Cursor: MCP Server, Rules, and Data Apps
Connect Dremio to Cursor with the hosted Dremio MCP server or the open-source dremio-mcp, then add .cursor/rules so the agent writes correct Dremio SQL.
dremioAI coding toolsMCP - 19 MIN READ•May 31, 2026
Data Platform AI Agent Tooling in 2026: 11 Vendors Compared
How Dremio, Snowflake, Databricks, Fabric, AWS, Google Cloud, ClickHouse, Doris, Spice, Bauplan, and Qlik expose data to AI agents: MCP servers, agents, CLIs.
AI AgentsData PlatformsMCP - 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 19, 2026
Managing the TCO of Agentic Analytics: Token Budgets, Query Throttles, and the Economics of Autonomy
Managing the total cost of agentic analytics: token budgets, query throttles, unit economics, and the FinOps discipline that keeps AI spend under control.
TCOFinOpstoken budgets - 16 MIN READ•Jul 6, 2026
The Buyer's Scorecard for Agentic Analytics: Evaluating Tooling in the Enterprise AI Era
An eight-category scorecard for judging agentic analytics tools: semantic grounding, governance, validation, action controls, cost, and pilot questions.
agentic analyticsenterprise aievaluation - 15 MIN READ•Jun 22, 2026
Composable Semantic Layers for Analytical Agents
Why a metric catalog is not enough for AI agents, and how composable semantic layers keep business logic intact across multi-step analysis, with a rollout plan.
semantic layer agentsmetrics catalogsagentic analytics - 14 MIN READ•Jun 22, 2026
Lakehouse as the Operating Layer for Agentic AI
Agentic AI announcements are useful when they validate the need for governed data, semantic context, and cost-aware execution.
agentic analyticslakehouse operating layergoverned AI data - 8 MIN READ•Mar 5, 2026
How to Use Dremio with Zed: Connect, Query, and Build Data Apps
Connect the Zed editor's AI assistant to the Dremio Cloud MCP server with OAuth, then add an AGENTS.md covering Dremio SQL conventions, credentials, and terms.
dremioAI coding toolsMCP - 10 MIN READ•Mar 5, 2026
How to Use Dremio with Windsurf: Connect, Query, and Build Data Apps
Connect Windsurf's Cascade agent to the Dremio Cloud MCP server, then add Windsurf rules and community Dremio skills and docs so it writes correct Dremio SQL.
dremioAI coding toolsMCP - 11 MIN READ•Mar 5, 2026
How to Use Dremio with OpenWork: Connect, Query, and Build Data Apps
Connect OpenWork, the open-source desktop agent built on OpenCode, to Dremio through the MCP server, and give it Dremio SQL context with an AGENTS.md file.
dremioAI coding toolsMCP - 13 MIN READ•Mar 5, 2026
How to Use Dremio with OpenCode: Connect, Query, and Build Data Apps
Connect the open-source OpenCode terminal agent to the Dremio Cloud MCP server, then place an AGENTS.md with Dremio SQL conventions so it queries correctly.
dremioAI coding toolsMCP