Collate: Release 1.8 Overview

0:00 Collate MCP Vision
2:48 How to Enable the MCP Server in Collate
5:40 AI-Powered Glossary Creation
8:08 Pipeline Monitoring with MCP
9:58 MCP Powered Test Cases for Data Quality
12:00 Root Cause Analysis with MCP
15:36 More MCP Examples with Collate

Collate MCP: Complete Integration Guide and Demo Collection
Discover the complete enterprise-grade Model Context Protocol (MCP) experience with Collate and Claude AI. This comprehensive guide covers everything from initial setup to advanced use cases that transform how you work with data.

Complete Tutorial Series:
* MCP Setup and Configuration - Install and connect Claude to Collate
* AI-Powered Glossary Creation - Build business vocabularies in seconds
* Automated Pipeline Reporting - Generate status dashboards without coding
* Smart Data Quality Testing - Auto-create comprehensive test suites
* Intelligent Root Cause Analysis - Instantly diagnose and document data issues
* Creative Prompt Examples - Explore SQL generation, dashboards, and data exploration

What You'll Learn:
* Step-by-step MCP integration between Collate and Claude
* Bidirectional data flow enabling AI to read and write back to your catalog
* Natural language commands that generate production-ready SQL and interfaces
* Advanced automation for data governance, quality, and incident management

Key Capabilities Demonstrated:
* Glossary automation from any data source (websites, CSVs, documentation)
* Instant pipeline monitoring with custom visualizations
* Comprehensive test case generation for data quality assurance
* End-to-end root cause analysis with publishable incident reports
* Interactive dashboard creation with shareable artifacts

Perfect for data engineers, analysts, and business users ready to transform their data workflows with AI-powered automation.

Connect with us:
Website: https://getcollate.io/
Twitter: https://x.com/collatedata
LinkedIn: https://www.linkedin.com/company/collateinc

Try OpenMetadata instantly with our product sandbox and demo data: https://sandbox.open-metadata.org/

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