Why did GetPositive educational company need to write a data bank storage?

In the educational company GetPositive, there was a need for a banking data storage to securely and centrally store financial information related to payments, invoices, and transactions.

Reasons:

• Security: banking storage provides a high level of data protection, which is critical for financial information.
• Reliability and fault tolerance: data is stored with redundancy and recovery options.
• Compliance: adherence to standards and regulations for storing financial data.
• Ease of integration: centralized storage simplifies integration with payment systems and accounting.

In practice, this could mean developing a specialized module or service in Python that interacts with the banking API and stores data in a secure database, for example:

class BankDataStore:
    def __init__(self, db_connection):
        self.db = db_connection

    def save_transaction(self, transaction):
        # Validation and saving of the transaction
        self.db.insert('transactions', transaction)

    def get_balance(self, account_id):
        # Retrieving the account balance
        return self.db.query('SELECT balance FROM accounts WHERE id = ?', (account_id,))

Thus, the banking data storage helps ensure integrity, security, and ease of working with financial information in the company.