SQL Tran Docs
  • Overview
    • About
    • Getting started
    • Object lifecycle
    • Why is there no AI inside?
    • Performance considerations
    • Security considerations
    • Assessment
    • Unlocking projects
    • Interface walk-through
    • Translation scenarios
    • Prerequisites for Azure Marketplace deployment
  • Emulation Scenarios
    • Emulation in SQL Tran
    • SQL Server to Fabric Warehouse
      • Data types
      • Case sensitivity
      • Cursors
        • Basic cursor loop
        • Cursor types
        • Fetch direction modes
        • Cursors in control flow
        • Nested cursors
        • Data modification cursors
        • Multiple cursors
        • Subqueries and filtering
      • Named procedure parameters
      • Result set limiting
      • MERGE statements
      • Computed columns
      • External tables
      • Identity columns
      • Default values
      • Sequences
      • Unsupported system objects
    • Synapse Analytics to Fabric Warehouse
      • Emulations
      • Limitations
    • SQL Server to Synapse Analytics
    • Oracle to PostgreSQL
  • Project wizard
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    • Wrapping up
  • Projects
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    • Tests
    • Scratch pad
    • Settings
      • Project name
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      • Database connections
    • Navigation
    • Object complexity
    • Static analysis
    • Translation errors
    • Exporting and importing projects
  • Workspace
    • Object tree
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    • Code
    • Actions
      • Overriding source
      • Overriding target
      • Ignoring objects
  • Tests
    • Workflow
    • Configure SQL Tran
    • Connecting to databases
      • Fabric Warehouse
      • Synapse Dedicated SQL Pool
      • Azure SQL Database, Azure SQL Managed Instance, Microsoft SQL Server
    • Tables
    • Views
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    • Performance tests
  • Scripter
    • About
    • Supported databases
    • SQL Server
    • Azure SQL
    • Synapse Dedicated Pool
    • Oracle
    • PostgreSQL
    • MySQL
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  1. Emulation Scenarios

Synapse Analytics to Fabric Warehouse

Synapse Analytics migration to Fabric Warehouse means modernization to a new architecture, one working with open Parquet format.

SQL Tran emulates the functionality no longer relevant in Fabric (like materialized views), rewrites the code for constructs not yet available in Fabric (like MERGE statements) and even provides extensive rewrites for identity columns and temporary tables usage, where Fabric has yet to release support but what one can expect to find in every single database to be migrated.

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Last updated 5 months ago

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