Move Oracle schemas and data to Snowflake using staged files, converted DDL, and COPY INTO.
Snowflake’s elastic compute, zero-copy cloning, and pay-per-second billing lower cost and simplify scaling versus fixed Oracle licenses.
Inventory objects, convert DDL, export data, stage files, load with COPY INTO
, validate results, and switch applications.
Use Oracle Data Pump with parallel workers to dump each ecommerce table (Customers
, Orders
, Products
, OrderItems
) to compressed CSV files.
expdp system/**** DIRECTORY=DATA_PUMP_DIR DUMPFILE=orders.dmp LOGFILE=orders.log TABLES=ORDERS PARALLEL=4
Create an external stage that points to S3, Azure, or GCS and upload the exported CSV files.
CREATE STAGE oracle_migration URL='s3://acme-migration' FILE_FORMAT=(TYPE=CSV FIELD_OPTIONALLY_ENCLOSED_BY='"');
COPY INTO
syntax?COPY INTO
reads staged files in parallel and loads them into Snowflake tables with configurable error handling.
COPY INTO Orders FROM @oracle_migration/orders FILE_FORMAT=(TYPE=CSV FIELD_OPTIONALLY_ENCLOSED_BY='"') ON_ERROR=CONTINUE;
Compare SELECT COUNT(*)
results in Oracle and Snowflake, then log differences in an audit table for automation.
SnowConvert, AWS SCT, or SQL translation scripts remap Oracle data types and constraints; review sequences and identity columns manually.
Freeze Oracle writes, run incremental exports, reload deltas, switch connections via feature flag, and keep Oracle read-only for easy rollback.
Yes. Perform full loads first, then incremental exports to minimize downtime before final cut-over.
Snowflake uses IDENTITY
columns. Convert sequences to IDENTITY
or manage keys in application logic.