Azure Fabric data retrieval pattern comparisons

When comparing data retrieval patterns in Azure Fabric with traditional Azure data services, key differences emerge. Traditional approaches often involve separate services like Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics, each with its own connection methods and query languages. This can lead to data silos and complex integration efforts. In contrast, Azure Fabric promotes a unified data foundation with its Lakehouse architecture. This allows for more streamlined data retrieval using a variety of methods within a single environment, including direct querying of data in the lake using SQL, Spark, or other engines, eliminating the need for complex data movement and integration patterns. This simplified approach enables faster insights and reduces the overhead associated with managing multiple data retrieval patterns across disparate services.