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// Expanded logic for more Azure database options with richer justifications:
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letrecommendation='Azure SQL Database';
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letjustification='Recommended for structured data, strong consistency, and moderate query complexity.';
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letjustification='If you are building modern cloud applications that require high availability, scalability, and minimal maintenance, Azure SQL Database (PaaS) is a strong choice. It’s fully managed and ideal for apps needing relational data with features like automatic tuning and built-in AI.';
justification='Cosmos DB supports semi-structured/unstructured data, global scaling, and low-latency.';
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confidence=92;
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if(data.use_case==='AI/ML'){
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recommendation='Azure Databricks or Cosmos DB';
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justification='Azure Databricks is ideal for scalable AI/ML workloads and big data processing. Cosmos DB supports semi-structured/unstructured data, global scaling, and low-latency, making it suitable for IoT, gaming, and retail apps.';
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confidence=85;
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}elseif(data.use_case==='OLAP'){
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recommendation='Azure Synapse Analytics or Cosmos DB';
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justification='Azure Synapse Analytics is best for analytical workloads and complex queries on large datasets. Cosmos DB is suitable for globally distributed, low-latency NoSQL workloads, supporting multiple APIs and millisecond response times.';
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confidence=88;
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}elseif(data.data_type==='semi-structured'){
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recommendation='Azure Cosmos DB';
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justification='Cosmos DB supports semi-structured data (JSON, etc.), offers global distribution, multi-model support, and low-latency access. It is unmatched for globally distributed, low-latency NoSQL workloads.';
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confidence=92;
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}else{
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recommendation='Azure Data Lake or Cosmos DB';
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justification='For unstructured data, Azure Data Lake provides scalable storage and analytics, while Cosmos DB supports unstructured data with global distribution and elastic scaling.';
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confidence=80;
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}
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}elseif(data.use_case==='OLAP'){
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recommendation='Azure Synapse Analytics';
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justification='Best for analytical workloadsand complex queries on largedatasets.';
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justification='Best for analytical workloads, data warehousing, and complex queries on large, structured datasets. It integrates with other Azure services for advanced analytics and big data.';
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confidence=90;
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}elseif(data.use_case==='AI/ML'){
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recommendation='Azure Databricks or Cosmos DB';
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justification='Supports AI/ML workloads and scalable data processing.';
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justification='Azure Databricks is optimized for AI/ML and big data analytics, supporting collaborative data science and advanced analytics. Cosmos DB can be used for storing and serving large, diverse datasets with global distribution.';
justification='Azure Cache for Redis is perfect for caching, session storage, and real-time analytics, boosting performance for high-throughput applications with sub-millisecond latency.';
justification='Cosmos DB offers strong consistency, global distribution, and is suitable for mission-critical applications needing millisecond response times and elastic scaling.';
justification='Azure SQL Database is a fully managed PaaS for modern cloud apps needing high availability, scalability, and security for relational data. Features include automatic tuning and built-in AI.';
justification='Managed Instance is ideal for organizations migrating from on-prem SQL Server with minimal changes, offering near 100% compatibility and built-in backup, integration, and security features.';
justification='Azure Database for PostgreSQL (PaaS) is excellent for AI-ready, mission-critical apps with support for vector search, PostgreSQL extensions, and advanced analytics.';
justification='Azure Database for MySQL (PaaS) is ideal for web apps like WordPress or Magento, offering high availability, seamless scaling, and built-in encryption.';
recommendation='SQL Server on Azure Virtual Machines';
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justification='SQL Server on Azure VMs (IaaS) is best for legacy apps and custom configurations, providing full control over the OS and SQL Server features.';
justification='Managed Instance supports advanced security features including RBAC, and is suitable for enterprise workloads needing high compatibility and managed operations.';
justification='Azure SQL Database is cost-effective for short-term, high-availability OLTP workloads, with minimal maintenance and built-in intelligence.';
justification='SQL Server 2022 on Azure VMs is the most Azure-integrated version yet, offering data virtualization, enhanced security, and hybrid cloud support for enterprises needing advanced analytics and cloud connectivity.';
justification='Oracle Database on Azure provides a familiar environment for Oracle workloads, with low-latency access and integration with Azure services.';
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confidence=78;
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}else{
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recommendation='Azure SQL Database';
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justification='Azure SQL Database is a general-purpose, fully managed relational database for most structured OLTP workloads, with high availability and built-in AI.';
justification='Cosmos DB is a globally distributed, multi-model NoSQL database with tunable consistency, high throughput, and millisecond response times.';
recommendation='Azure Managed Instance for Apache Cassandra';
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justification='Azure Managed Instance for Apache Cassandra (PaaS) simplifies operations for Cassandra workloads with automated scaling and hybrid deployment support.';
justification='Cosmos DB for MongoDB provides MongoDB API compatibility, global distribution, and managed service, adding elastic scaling and low-latency.';
justification='MongoDB Atlas on Azure is a fully managed SaaS offering with advanced features and integrations, providing a familiar MongoDB experience and multi-cloud flexibility.';
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confidence=80;
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}else{
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recommendation='Azure Cosmos DB';
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justification='Cosmos DB is a flexible, fully managed NoSQL database for a wide range of NoSQL workloads, supporting multiple APIs and global distribution.';
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confidence=85;
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}
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}elseif(data.use_case==='cache'){
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recommendation='Azure Cache for Redis';
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justification='Azure Cache for Redis is perfect for caching, session storage, and real-time analytics, boosting performance for high-throughput applications.';
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