1. Log in to Snowflake:

   - Use the web interface or a SQL client tool that supports Snowflake to log in to your account.

2. Select the Data to Export:

   - Identify the data you want to move from Snowflake to Oracle DB. This could be one or more tables or a specific subset of data.

3. Export Data to a File:

   - Use the `COPY INTO <location>` command to export the data to a file format that Oracle can import, such as CSV.

   - Example:

     ```sql

     COPY INTO @~/my_data_export/table_data.csv

     FROM my_table

     FILE_FORMAT = (TYPE = CSV HEADER = TRUE);

     ```

   - Ensure you have the necessary file storage location set up in Snowflake (e.g., an internal stage or an external stage like Amazon S3).

4. Download the Exported File:

   - If you are using an internal stage, you can download the file directly from Snowflake's web interface or by using the `GET` command in SnowSQL.

   - For external stages, access your storage service (e.g., Amazon S3) to download the file.

1. Check File Format:

   - Open the exported CSV file and verify that the data is correctly formatted.

   - Ensure that the file follows Oracle's expected format, paying attention to delimiters, text qualifiers, dates, and null representations.

2. Modify Data Types:

   - If necessary, transform any data types that are not compatible with Oracle.

3. Split Large Files:

   - If the CSV file is very large, consider splitting it into smaller files to make the import process more manageable.

1. Log in to Oracle Database:

   - Use SQL*Plus, SQL Developer, or another Oracle client to log in to your Oracle Database.

2. Create a Table:

   - Define a table in Oracle that matches the structure of the data you are importing.

   - Example:

     ```sql

     CREATE TABLE my_oracle_table (

       column1 datatype,

       column2 datatype,

       ...

     );

     ```

3. Set Up Directory Object:

   - Create a directory object in Oracle that points to the location on the database server where you will place the CSV file.

   - Example:

     ```sql

     CREATE DIRECTORY my_data_dir AS '/path/to/data_directory';

     ```

4. Grant Permissions:

   - Grant the necessary permissions to the directory object for the user who will perform the data load.

   - Example:

     ```sql

     GRANT READ, WRITE ON DIRECTORY my_data_dir TO my_user;

     ```

1. Transfer the CSV File to Oracle Server:

   - Use a secure method like SCP or SFTP to transfer the CSV file to the directory on the Oracle server that was specified in the directory object.

2. Use SQL*Loader or External Tables:

   - To import the data, you can use SQL*Loader or the external tables feature in Oracle.

   - For SQL*Loader, create a control file that specifies how the CSV file is formatted and how it should be loaded into the table.

   - For external tables, create an external table that points to the CSV file and then use `INSERT INTO ... SELECT * FROM ...` to move the data into the target table.

3. Monitor the Import Process:

   - Check for any errors during the import and ensure that the data is loaded correctly.

4. Verify Data Integrity:

   - Once the import is complete, run queries to verify that the data has been imported correctly and is consistent with the source data in Snowflake.

1. Remove Temporary Files:

   - Delete any temporary files or directories that were used during the data transfer process.

2. Audit and Log:

   - Record the details of the data transfer, including row counts and any issues encountered, for future reference and auditing purposes.

3. Optimize Oracle Database:

   - After loading the data, consider gathering statistics on the new table and creating indexes to optimize performance.

By following these steps, you can move data from Snowflake to Oracle Database without the need for third-party connectors or integrations. Remember to always test the process with a small subset of data before attempting a full-scale data migration.