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This blog post from James Serra does a great job of laying out 2 competing views of what a "lakehouse" is or should be: Data Lakehouse defined
He concludes... "I see Synapse as a great solution for a ProEDW, a unified analytics platform approach, where it incorporates a data lake, a relational data warehouse, spark tables, and tools such as Azure Data Factory, Power BI, and soon Azure Purview all under one roof called Azure Synapse Studio. It also supports federated queries mentioned above via a serverless model...Synapse also makes supporting machine learning (ML) easier via automated ML for data in a data lake"
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This blog post from James Serra does a great job of laying out 2 competing views of what a "lakehouse" is or should be: Data Lakehouse defined
He concludes... "I see Synapse as a great solution for a ProEDW, a unified analytics platform approach, where it incorporates a data lake, a relational data warehouse, spark tables, and tools such as Azure Data Factory, Power BI, and soon Azure Purview all under one roof called Azure Synapse Studio. It also supports federated queries mentioned above via a serverless model...Synapse also makes supporting machine learning (ML) easier via automated ML for data in a data lake"
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