Udemy - Agent-Ready Data Platform - Semantic Layer, Text-to-SQL and MCP

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2 GB
  • Uploaded Byfreecoursewb
  • Downloads38
  • Last checkedJul. 03rd '26
  • Date uploadedJul. 02nd '26
  • Seeders 0
  • Leechers10

Infohash : 5839B204E66D05D9CA4D818E6C78ADA85D73D635

Agent-Ready Data Platform: Semantic Layer, Text-to-SQL & MCP

https://WebToolTip.com

Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 41m | Size: 2.04 GB

Retrofit a messy warehouse for AI agents: semantic layer, text-to-SQL, evaluation, governance, MCP and production ops

What you'll learn
Diagnose exactly why naive LLM text-to-SQL hallucinates, and measure failure with a real evaluation harness.
Design and author a semantic layer — metrics, dimensions, entities, and a join graph — that grounds an LLM and kills hallucinated joins.
Lift text-to-SQL accuracy from roughly 40% to roughly 90% through grounding and context engineering for the warehouse.
Choose a semantic-layer engine (dbt Semantic Layer, Cube, Snowflake Semantic Views, Databricks Metric Views, LookML) with a decision matrix and defend it.
Enforce governance at the semantic layer so agents inherit RBAC, row/column security, and PII masking instead of bypassing them.
Build and secure a governed MCP server that exposes Snowflake, dbt, and Databricks to agents safely.
Operate agentic analytics in production with tracing, cost control, semantic-drift defense, and a rollout runbook.
Apply agent patterns correctly — and recognize when NOT to use an agent at all.

Requirements
Comfortable writing intermediate-to-advanced SQL and reading data-warehouse schemas (joins, aggregates, DDL).
Working familiarity with a cloud warehouse (Snowflake or Databricks) and dbt-style transformation workflows.
Basic understanding of LLMs and what an AI agent is — no ML or model-training background required.
This is an advanced, architect-level course; greenfield beginners should start with a core data-warehousing course first.

Files:

[ WebToolTip.com ] Udemy - Agent-Ready Data Platform - Semantic Layer, Text-to-SQL and MCP
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - The Mandate Just Let Them Ask in English
    • 1 - Module 1 Check.html (22.2 KB)
    • 1 - The CEO Email That Started It.mp4 (19.1 MB)
    • 2 - The Three Naive Reactions (and Why Each Fails).mp4 (15.8 MB)
    • 3 - Anatomy of an Agent-to-Warehouse Request.mp4 (13.2 MB)
    • 4 - The Agent-Readiness Maturity Ladder.mp4 (13.3 MB)
    10 - How Do You Know It's Right Evaluation
    • 10 - Module 10 Check.html (21.9 KB)
    • 42 - You Can't Ship What You Can't Measure.mp4 (26.5 MB)
    • 43 - Build an Eval Set From Your Own Questions.mp4 (21.0 MB)
    • 44 - Regression Gates in CI.mp4 (22.9 MB)
    • 45 - The Accuracy Dashboard.mp4 (18.9 MB)
    11 - The Governance Gap What Breaks When Agents Query
    • 11 - Module 11 Check.html (21.8 KB)
    • 46 - The Agent That Saw Everyone's Salary.mp4 (23.8 MB)
    • 47 - Over-Permissioning and the Service-Account Trap.mp4 (22.7 MB)
    • 48 - Prompt Injection Into Your Data Layer.mp4 (20.6 MB)
    • 49 - The Threat Model.mp4 (21.8 MB)
    12 - Governance at the Semantic Layer
    • 12 - Module 12 Check.html (22.0 KB)
    • 50 - Policy Belongs in the Layer, Not the Prompt.mp4 (16.8 MB)
    • 51 - RBAC and Governed Metrics.mp4 (18.9 MB)
    • 52 - Row-Level Security and Column Masking.mp4 (23.9 MB)
    • 53 - PII, Aggregation Thresholds, and k-Anonymity.mp4 (18.9 MB)
    • 54 - Snowflake and Databricks Governance Mapping.mp4 (27.9 MB)
    13 - Guardrails Containing the Runaway Agent
    • 13 - Module 13 Check.html (21.9 KB)
    • 55 - The 40,000 Dollar Weekend Query.mp4 (20.3 MB)
    • 56 - Query Cost Limits, Timeouts, and Result Caps.mp4 (24.4 MB)
    • 57 - Read-Only by Default, Approvals for the Rest.mp4 (20.3 MB)
    • 58 - The Full Audit Trail.mp4 (24.4 MB)
    14 - Why MCP The Standard Contract Between Agents and Data
    • 14 - Module 14 Check.html (21.8 KB)
    • 59 - From N-by-N Custom Integrations to One Protocol.mp4 (22.6 MB)
    • 60 - Tools, Resources, and Prompts.mp4 (22.7 MB)
    • 61 - Where MCP Sits vs the Semantic Layer.mp4 (17.2 MB)
    • 62 - The Spec Is Moving Durable vs Temporary.mp4 (22.4 MB)
    15 - Build a Governed Warehouse MCP Server
    • 15 - Module 15 Check.html (21.8 KB)
    • 63 - Your First MCP Server.mp4 (23.1 MB)
    • 64 - Wrapping the Semantic Layer as Tools.mp4 (23.3 MB)
    • 65 - Official Servers vs Rolling Your Own.mp4 (20.2 MB)
    • 66 - Tool Design for LLMs.mp4 (27.0 MB)
    • 67 - Test With a Real Agent Client.mp4 (20.8 MB)
    16 - MCP Architecture Decisions
    • 16 - Module 16 Check.html (21.8 KB)
    • 68 - Local vs Remote, One Server vs Many.mp4 (20.4 MB)
    • 69 - Transport and Auth Choices.mp4 (24.5 MB)
    • 70 - Tool Granularity Thin Proxy vs Thick Semantic Tools.mp4 (26.9 MB)
    • 71 - The MCP Decision Spine.mp4 (22.1 MB)
    17 - Securing MCP
    • 17 - Module 17 Check.html (21.9 KB)
    • 72 - The Confused-Deputy Problem.mp4 (23.0 MB)
    • 73 - Per-User Identity Propagation and Scopes.mp4 (25.9 MB)
    • 74 - Secrets, Multi-Tenant Isolation, and Rate Limits.mp4 (24.0 MB)
    • 75 - Pen-Test Your Own Server.mp4 (26.3 MB)
    18 - From One Query to Agentic Analytics
    • 18 - Module 18 Check.html (21.8 KB)
    • 76 - Single-Shot vs Multi-Step Reasoning.mp4 (17.4 MB)
    • 77 - The Plan-Query-Critique Loop.mp4 (19.1 MB)
    • 78 - Memory and Conversation Context.mp4 (17.6 MB)
    • 79 - Multi-Metric, Multi-Step Questions.mp4 (16.6 MB)
    • 80 - Debug The Agent Looped or Gave Up.mp4 (19.4 MB)
    19 - Agent Patterns (and When NOT to Use Them)
    • 19 - Module 19 Check.html (22.0 KB)
    • 81 - Conversational BI.mp4 (23.7 MB)
    • 82 - Scheduled and Triggered Agents.mp4 (20.9 MB)
    • 83 - Write-Back and Actions The Danger Zone.mp4 (32.1 MB)
    • 84 - Pattern Selection.mp4 (20.1 MB)
    2 - Why Naive Text-to-SQL Hallucinates
    • 2 - Module 2 Check.html (22.3 KB)
    • 5 - Live Watch It Hallucinate a Join.mp4 (24.4 MB)
    • 6 - The Five Failure Modes.mp4 (20.9 MB)
    • 7 - Why Just Give It the Schema Doesn't Work.mp4 (16.4 MB)
    • 8 - The Silent-Wrong-Answer Problem.mp4 (14.0 MB)
    20 - Observability Trace the Wrong Answer Back
    • 20 - Module 20 Check.html (21.7 KB)
    • 85 - The Full Trace.mp4 (20.2 MB)
    • 86 - Logging and Tracing the Stack.mp4 (24.7 MB)
    • 87 - Cost and Latency Monitoring.mp4 (20.7 MB)
    • 88 - Debug Clinic Three Wrong Answers.mp4 (21.9 MB)
    21 - Production Hardening and the Drift Problem
    • 21 - Module 21 Check.html (21.6 KB)
    • 89 - Semantic Drift.mp4 (23.5 MB)
    • 90 - Caching and Latency.mp4 (25.1 MB)
    • 91 - Reliability, Fallbacks, and Safe Rollout.mp4 (24.5 MB)
    • 92 - The Operations Runbook.mp4 (23.9 MB)
    22 - Capstone Ship and Defend an Agent-Queryable Semantic Layer
    • 22 - Module 22 Check.html (21.8 KB)
    • 93 - The Brief Meridian Goes Live Company-Wide.mp4 (18.3 MB)
    • 94 - Build Model to Grounding to Governance to MCP.mp4 (28.6 MB)
    • 95 - Evaluate and Harden.mp4 (26.6 MB)
    23 - Introduction
    • 96 - The 8-Dimension Defense Rubric.mp4 (26.9 MB)
    • 97 - Your Roadmap From Here.mp4 (19.2 MB)
    3 - What a Semantic Layer Actually Is
    • 10 - Metrics, Dimensions, Entities The Three Nouns.mp4 (17.6 MB)
    • 11 - The Join Graph Encode Relationships Once.mp4 (16.2 MB)
    • 12 - Semantic Layer vs BI Layer vs Raw SQL.mp4 (16.2 MB)
    • 13 - Headless and Multi-Consumer.mp4 (17.1 MB)
    • 3 - Module 3 Check.html (21.6 KB)
    • 9 - The Missing Layer.mp4 (18.4 MB)
    4 - Modeling Metrics and Dimensions an LLM Can Trust
    • 14 - Your First Met

Code:

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