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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...

How to Write Complex Python Script: Explained Each Step

 Creating a complex Python script is challenging, but I can provide you with a simplified example of a script that simulates a basic bank account system. In a real-world application, this would be much more elaborate, but here's a concise version.


Complex Python Script



Python Complex Script

Here is an example of a Python script that explains each step:


class BankAccount:

    def __init__(self, account_holder, initial_balance=0):

        self.account_holder = account_holder

        self.balance = initial_balance


    def deposit(self, amount):

        if amount > 0:

            self.balance += amount

            print(f"Deposited ${amount}. New balance: ${self.balance}")

        else:

            print("Invalid deposit amount.")


    def withdraw(self, amount):

        if 0 < amount <= self.balance:

            self.balance -= amount

            print(f"Withdrew ${amount}. New balance: ${self.balance}")

        else:

            print("Invalid withdrawal amount or insufficient funds.")


    def get_balance(self):

        print(f"Account balance for {self.account_holder}: ${self.balance}")



# Example usage:

if __name__ == "__main__":

    account1 = BankAccount("Alice", 1000)

    account2 = BankAccount("Bob")


    account1.deposit(500)

    account2.deposit(750)

    account1.withdraw(200)

    account2.withdraw(1000)

    account1.get_balance()

    account2.get_balance()



This script defines a BankAccount class with methods for depositing, withdrawing, and checking the balance. In the example usage section, two bank accounts are created for Alice and Bob, and various transactions are made.


Please note that this is a simplified example for demonstration purposes. In a real banking system, you would need more robust security measures, data persistence, and error handling. Additionally, the code would typically be spread across multiple files for better organization and maintainability.


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