Release Features

Version 1.9 provides a more modern and structured look to the home page, making it easier for users to start searching for dating, and picking up from where you left off. Enhanced widgets and components bring even more power to this flexbility. In addition, the persona feature has received an update by allowing you to set a customized default persona at the organization level. This short video walks you through it all. *Connect with us:* Website: https://getcollate.io/ X: https://x.com/collatedata LinkedIn: https://linkedin.com/company/collateinc/ Try OpenMetadata instantly with our product sandbox and demo data: https://sandbox.open-metadata.org/ #Collate #DataQuality #Testing #DataEngineering #automation

Version 1.9 features significant UI/UX enhancements to further enhance your productivity. This short video demonstrates those updates associated with Data Quality. *Connect with us:* Website: https://getcollate.io/ X: https://x.com/collatedata LinkedIn: https://linkedin.com/company/collateinc/ Try OpenMetadata instantly with our product sandbox and demo data: https://sandbox.open-metadata.org/ #Collate #DataQuality #Testing #DataEngineering #automation

As part of version 1.9, we now have Multi-domain support & Data Asset Rules. Delivering on the promise of data mesh in a tangible, useful, and flexible way. Get a rundown of this exciting advancement in this short video. *Connect with us:* Website: https://getcollate.io/ X: https://x.com/collatedata LinkedIn: https://linkedin.com/company/collateinc/ Try OpenMetadata instantly with our product sandbox and demo data: https://sandbox.open-metadata.org/ #Collate #DataQuality #Testing #DataEngineering #automation #datamesh

In version 1.9 of Collate, we've introduced an enhancement to the Glossary Approval Workflow. This new UI component clearly displays the workflow's progress, any failures, and task creations, providing transparent visibility into the current status and history of changes. *Connect with us:* Website: https://getcollate.io/ X: https://x.com/collatedata LinkedIn: https://linkedin.com/company/collateinc/ Try OpenMetadata instantly with our product sandbox and demo data: https://sandbox.open-metadata.org/ #Collate #DataQuality #Testing #DataEngineering #automation

Version 1.9 of Collate introduces support for reverse metadata sinks in Apache Ranger. Ranger is a popular framework for monitoring and managing comprehensive data security systems. This integration makes it simple to add Ranger to your Collate environment. This video will guide you through the fundamentals and provide an example. *Connect with us:* Website: https://getcollate.io/ X: https://x.com/collatedata LinkedIn: https://linkedin.com/company/collateinc/ Try OpenMetadata instantly with our product sandbox and demo data: https://sandbox.open-metadata.org/ #Collate #DataQuality #testing #DataEngineering #automation #apacheranger

In this version 1.9 release video for Collate, we showcase the upgraded Insights tab on the Service Details page, now featuring live, real-time updates when AutoPilot workflows are running. Watch as coverage percentages for descriptions, PII tags, tier classifications, ownership, and healthy data assets refresh instantly, alongside live counts of total data assets.Plus, get live status updates for AutoPilot agents and Collate AI agents as they process your data. Monitor workflow instances in real-time, tracking progress on automated classification, tiering, and data quality processes for greater visibility and efficiency. *Connect with us:* Website: https://getcollate.io/ X: https://x.com/collatedata LinkedIn: https://linkedin.com/company/collateinc/ Try OpenMetadata instantly with our product sandbox and demo data: https://sandbox.open-metadata.org/ #Collate #DataQuality #Testing #DataEngineering #automation

In this video, we're excited to introduce Data Contracts as part of the Collate version 1.9 release. This game-changing feature is designed to elevate your data management strategy. Seamlessly integrate schema, semantic, and data quality tests into a unified contract that proactively alerts you to any breaches, ensuring issues are caught early and preventing disruptions across your data pipelines. Whether you're a data engineer, analyst, or team lead, Data Contracts empower you to maintain high standards of data reliability and governance with ease. This short video will guide you through the fundamentals and show you examples of it in action. *Connect with us:* Website: https://getcollate.io/ X: https://x.com/collatedata LinkedIn: https://linkedin.com/company/collateinc/ Try OpenMetadata instantly with our product sandbox and demo data: https://sandbox.open-metadata.org/ #Collate #DataQuality #testing #DataEngineering #Automation

Explore practical prompt ideas that showcase the power of Collate's enterprise-grade Model Context Protocol (MCP) support for Claude AI for business users and data analysts. Prompt Examples Demonstrated: * Finding customer transaction datasets from specific time periods * Discovering untagged finance-related data for governance cleanup * Auto-generating SQL queries for monthly revenue trends * Creating complex queries for top customer analysis * Building comprehensive customer acquisition reports Advanced Capabilities: * Automatic SQL generation with proper joins and formatting * Interactive dashboard creation with sample data * Customer data explorer with modern web interface * Publishable artifacts that can be shared via URL Key Features Shown: * Claude analyzes your metadata catalog to suggest relevant tables * Generates production-ready SQL with field validation * Creates visual dashboards and interfaces in seconds * Provides detailed insights and recommendations alongside code This collection of examples demonstrates how natural language prompts can instantly produce complex analytical outputs that would typically require hours of manual development work. Perfect for: Business users needing quick data insights and analysts wanting to accelerate query development and reporting workflows. #Collate #PromptEngineering #DataAnalysis #Claude #MCP #SQLGeneration #DataVisualization

See how Collate's enterprise-grade Model Context Protocol (MCP) support for Claude AI transforms complex data investigation from manual detective work into AI-powered root cause analysis. Traditional vs AI-Powered Approach: * Manual: Navigate multiple screens, check lineage, analyze observability layers * AI-Powered: Single prompt generates complete RCA with impact analysis * Results: Minutes of investigation compressed into seconds of AI analysis What the AI Analysis Provides: * Identifies failed test cases and exact column count mismatches * Traces data flow from source to affected downstream assets * Maps impact across models, dashboards, and databases * Delivers actionable recommendations and next steps Bonus Feature: * Auto-generated executive dashboard summarizing critical issues * Ready-to-share artifacts for stakeholder communication * Complete impact assessment with upstream and downstream effects This demo shows how schema evolution issues (adding columns while tests expect fixed counts) can be diagnosed and documented, eliminating the hunt to piece together the full story. Perfect for: Data engineers and analysts who need fast, thorough incident investigation and clear communication of data issues. #Collate #RootCauseAnalysis #DataObservability #Claude #MCP #DataIncidents #DataEngineering

Learn how data engineers can instantly generate comprehensive data quality test cases using Collate's enterprise-grade Model Context Protocol (MCP) support for Claude AI, eliminating hours of manual test writing. Process Walkthrough: * Finding tables without existing test coverage * Using Claude to analyze table structure and data types * Auto-generating relevant table and column-level test cases * Bidirectional data flow between Claude and Collate What Gets Created: * 10+ comprehensive test cases generated in seconds * Table-level and column-level quality checks * Descriptive test documentation and summaries * Ready-to-execute data validation rules This demo shows how AI can understand your data schema and automatically create appropriate quality tests, transforming what used to be a manual and time-consuming process into an instant, intelligent workflow. Key Benefit: Bidirectional integration means Claude not only reads your data structure but writes test cases directly back to Collate for immediate use. #Collate #DataQuality #Testing #Claude #MCP #DataEngineering #Automation