Is it possible to integrate the execution of Python scripts into the data migration process?

Yes, executing Python scripts can be integrated into the data migration process. This is often used for data transformation, validation, or automating migration steps. For example, you can write a Python script that reads data from one source, transforms it, and writes it to another.

A simple integration example:

import sqlite3

# Connecting to the old database
conn_old = sqlite3.connect('old.db')
cursor_old = conn_old.cursor()

# Connecting to the new database
conn_new = sqlite3.connect('new.db')
cursor_new = conn_new.cursor()

# Reading data
cursor_old.execute('SELECT id, name FROM users')
rows = cursor_old.fetchall()

# Transforming and writing to the new database
for row in rows:
    user_id, name = row
    name = name.upper()  # example transformation
    cursor_new.execute('INSERT INTO users (id, name) VALUES (?, ?)', (user_id, name))

conn_new.commit()
conn_old.close()
conn_new.close()

This approach allows flexible management of the migration process, adding logic, and handling errors.