Snowflake-Labs/sfguide-scai-e2e-ssis-migration

Snowflake-Labs/sfguide-scai-e2e-ssis-migration

Description: Sample code for an End-to-End migration of SQL Server and SSIS using SnowConvert AI

Language: TSQL

License: Apache-2.0

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Created: 2026-04-02T22:24:39Z

Pushed: 2026-06-01T13:14:58Z

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README:

sfguide-scai-e2e-ssis-migration

Sample code for an End-to-End migration of SQL Server and SSIS using SnowConvert AI.

Repository structure

sfguide-scai-e2e-ssis-migration/
├── source_db/ SQL Server source database scripts (DDL + sample data)
│ ├── 00_ddl.sql Schema, tables, views, functions, and stored procedures
│ └── 01_data.sql Sample data inserts for all tables
├── snowflake/ Snowflake target setup
│ └── init.sql Database, schemas, warehouse, and compute pool
└── etl/ SSIS package samples
├── daily_sales_agg.dtsx Aggregates daily sales into reporting tables
└── update_truck_inventories.dtsx Refreshes per-truck inventory levels

Source SQL Server database

The source workload is the fictional Tasty Bytes global food truck network: localized menus, customer loyalty, order management, inventory tracking, and employee scheduling. The DDL deliberately uses T-SQL constructs (computed columns, ROWVERSION, MONEY, NTEXT, UNIQUEIDENTIFIER, NOLOCK hints, GLOBAL cursors, etc.) that surface SnowConvert EWIs during migration.

To deploy the SQL Server sample database, run the following scripts in order against your SQL Server instance:

1. source_db/00_ddl.sql — creates the TastyBytesDB database, the TastyBytes and etl_results schemas, and all tables, views, user-defined functions, and stored procedures. 2. source_db/01_data.sql — populates the tables with sample data in dependency order.

Snowflake target

On the Snowflake side, only run snowflake/init.sql. It uses ACCOUNTADMIN to create:

• The tastybytesdb database with tastybytes and etl_results schemas
• The XSMALL_WH warehouse
• The TASTYBYTES_MIG_POOL compute pool used by the data migration job

ETL (SSIS) packages

The etl/ folder contains the source SSIS packages used in the migration walkthrough:

• `daily_sales_agg.dtsx` — Reads completed orders from TastyBytes.OrderHeader / OrderDetail, aggregates daily revenue and order counts per truck, and writes the rollups to a reporting table. Brackets the run with start execution / endexecution markers in etl_results.etl_logs.
• `update_truck_inventories.dtsx` — Iterates over operational food trucks, applies inventory adjustments based on recent orders, and updates TastyBytes.Inventory (quantity on hand, last restocked, reorder triggers).

These .dtsx files are the inputs migrated by SnowConvert AI to equivalent Snowflake-native ETL.