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‎apps/framework-docs-v2/content/guides/applications/automated-reports.mdx‎

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title: Automated Reports
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description: Guide to building automated reporting systems with MooseStack
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---
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# Automated Reports
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This guide covers how to build automated reporting systems using MooseStack workflows and APIs.
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## Overview
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Automate the generation and distribution of reports using scheduled workflows and API integrations.
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## Key Concepts
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- Scheduled workflows
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- Report generation
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- Email and notification delivery
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- Template management
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## Next Steps
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Learn about [workflows](/moosestack/workflows) and [APIs](/moosestack/apis) to build automated reports.
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‎apps/framework-docs-v2/content/guides/applications/going-to-production.mdx‎

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title: Going to Production
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description: Guide to preparing and deploying MooseStack applications to production
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---
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# Going to Production
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This guide covers best practices and considerations for deploying MooseStack applications to production environments.
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## Overview
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Moving from development to production requires careful planning around infrastructure, monitoring, security, and scalability. This guide walks you through the essential steps.
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## Key Topics
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- Infrastructure preparation
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- Security and authentication
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- Monitoring and observability
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- Performance optimization
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- Disaster recovery and backups
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- Scaling strategies
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## Next Steps
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Learn more about [deployment](/moosestack/deploying) and [monitoring](/moosestack/metrics) to prepare your application for production.
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‎apps/framework-docs-v2/content/guides/applications/in-app-chat-analytics.mdx‎

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title: In-App Chat Analytics
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description: Guide to implementing analytics for in-app chat features
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---
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# In-App Chat Analytics
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This guide shows you how to implement analytics for in-app chat features using MooseStack.
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## Overview
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Track and analyze chat interactions, message volumes, response times, and user engagement metrics.
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## Key Concepts
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- Streaming chat events
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- Real-time aggregations
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- User behavior analysis
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- Performance monitoring
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## Next Steps
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Learn about [streaming](/moosestack/streaming) and [APIs](/moosestack/apis) to implement chat analytics.
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‎apps/framework-docs-v2/content/guides/applications/performant-dashboards.mdx‎

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title: Performant Dashboards
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description: Guide to building high-performance dashboards with MooseStack
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---
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# Performant Dashboards
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This guide covers best practices for building performant dashboards using MooseStack.
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## Overview
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Building dashboards that load quickly and provide real-time insights requires careful consideration of data modeling, query optimization, and caching strategies.
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## Key Concepts
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- Materialized views for pre-aggregated data
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- Efficient query patterns
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- Caching strategies
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- Real-time data updates
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## Next Steps
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Learn more about [data modeling](/moosestack/data-modeling) and [OLAP](/moosestack/olap) to get started.
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‎apps/framework-docs-v2/content/guides/data-management/change-data-capture.mdx‎

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title: Change Data Capture
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description: Guide to implementing change data capture (CDC) with MooseStack
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---
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# Change Data Capture
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This guide covers how to implement change data capture (CDC) to track and replicate database changes in real-time using MooseStack.
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## Overview
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Change Data Capture (CDC) enables you to capture and stream database changes as they happen, allowing you to keep multiple systems in sync and build real-time analytics pipelines.
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## Key Concepts
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- Real-time change detection
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- Event streaming and replication
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- Schema evolution handling
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- Conflict resolution strategies
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## Next Steps
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Learn more about [streaming](/moosestack/streaming) and [connecting CDC services](/moosestack/streaming/connect-cdc) to implement change data capture.
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‎apps/framework-docs-v2/content/guides/data-management/impact-analysis.mdx‎

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title: Impact Analysis
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description: Guide to analyzing the impact of schema changes
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# Impact Analysis
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This guide covers how to analyze the impact of schema changes before applying them.
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## Overview
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Before making schema changes, it's important to understand how they will affect existing queries, views, and downstream systems.
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## Key Concepts
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- Query dependency analysis
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- View impact assessment
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- Downstream system considerations
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- Change validation
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## Next Steps
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Learn about [schema versioning](/moosestack/olap/schema-versioning) and [migrations](/moosestack/migrate) to manage changes safely.
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‎apps/framework-docs-v2/content/guides/data-management/migrations.mdx‎

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title: Migrations
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description: Guide to managing database migrations with MooseStack
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---
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# Migrations
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This guide covers best practices for managing database migrations in MooseStack projects.
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## Overview
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Migrations allow you to version control your database schema and apply changes safely across environments.
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## Key Concepts
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- Migration types
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- Lifecycle management
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- Schema versioning
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- Rollback strategies
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## Next Steps
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Learn more about [migration types](/moosestack/migrate/migration-types) and [lifecycle management](/moosestack/migrate/lifecycle).
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‎apps/framework-docs-v2/content/guides/data-warehousing/connectors.mdx‎

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title: Connectors
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description: Guide to using connectors to integrate data sources with MooseStack
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---
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# Connectors
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This guide covers how to use connectors to integrate various data sources with your MooseStack data warehouse.
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## Overview
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Connectors enable you to seamlessly integrate external data sources, APIs, and databases into your MooseStack data warehouse, making it easy to centralize data from multiple systems.
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## Key Concepts
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- Available connector types
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- Configuration and setup
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- Data synchronization patterns
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- Error handling and retries
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## Next Steps
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Learn more about [data sources](/moosestack/data-sources) and [streaming](/moosestack/streaming) to understand how connectors work with MooseStack.
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‎apps/framework-docs-v2/content/guides/data-warehousing/customer-data-platform.mdx‎

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title: Customer Data Platform
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description: Guide to building a customer data platform with MooseStack
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# Customer Data Platform
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This guide shows you how to build a customer data platform (CDP) using MooseStack.
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## Overview
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A CDP centralizes customer data from multiple sources to create unified customer profiles and enable personalized experiences.
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## Key Concepts
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- Customer identity resolution
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- Event streaming and aggregation
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- Profile unification
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- Real-time segmentation
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## Next Steps
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Learn about [streaming](/moosestack/streaming) and [OLAP](/moosestack/olap) to build your CDP.
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‎apps/framework-docs-v2/content/guides/data-warehousing/operational-analytics.mdx‎

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title: Operational Analytics
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description: Guide to implementing operational analytics with MooseStack
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# Operational Analytics
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This guide covers how to implement operational analytics to monitor and optimize your business operations.
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## Overview
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Operational analytics provide real-time insights into business operations, helping you make data-driven decisions.
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## Key Concepts
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- Real-time metrics
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- Operational dashboards
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- Alerting and monitoring
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- Performance optimization
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## Next Steps
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Learn about [OLAP](/moosestack/olap) and [workflows](/moosestack/workflows) to implement operational analytics.
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