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8 Ways to Optimize AWS Glue Jobs in a Nutshell

  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif

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}")


            print("Invalid deposit amount.")

    def withdraw(self, amount):

        if 0 < amount <= self.balance:

            self.balance -= amount

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


            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")







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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