Begin by familiarizing yourself with Square's API documentation and Redis commands. Square API provides endpoints to access and manipulate data such as transactions, customers, and inventory. Meanwhile, Redis is an in-memory data structure store that supports various data types. Understanding the capabilities and limitations of both systems is crucial for effective data transfer.

Set up your development environment by installing necessary tools and libraries. You'll need a programming language that supports HTTP requests, such as Python, Node.js, or Java. Ensure you have access to Redis, either through a local installation or a cloud-based service. Verify that your environment can send requests to Square's API and connect to your Redis database.

Obtain the necessary credentials to authenticate with Square's API. This typically involves creating a Square Developer account, setting up an application, and acquiring an access token. Use this token to make authorized API requests. Ensure you handle this token securely to prevent unauthorized access to your Square data.

Use your programming language to write scripts or applications that make HTTP requests to the Square API endpoints. Determine which data you need to transfer (e.g., transactions, customer information) and retrieve it using the appropriate API calls. Parse the JSON responses into a format suitable for processing and storage.

Once you have the data from Square, transform it into a format that Redis can store. Redis supports various data types like strings, hashes, lists, and sets. Choose the appropriate data type based on the structure of the data you retrieved. For example, use hashes for storing complex objects with multiple fields.

Write scripts to insert the transformed data into Redis. Connect to your Redis instance and use Redis commands to store the data. For example, you can use `HSET` to store hash data or `SET` for strings. Ensure that you handle data keys properly to prevent collisions and maintain data integrity.

To keep the data in Redis updated with Square, automate the data retrieval and transfer process. Use cron jobs or task schedulers to run your data transfer scripts at regular intervals. Monitor the process to handle any errors or connectivity issues, ensuring that your data remains consistent and up-to-date.

By following these steps, you can effectively move data from Square to Redis without relying on third-party connectors or integrations.