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8 Ways to Optimize AWS Glue Jobs in a Nutshell

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  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
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The Perfect Way to Swap two Strings in Python

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Here is the perfect way swap two strings in python. Without a third variable, you can swap strings in Python. With the swap function, you can achieve this. Here's the sample logic. Swap two strings Multiple arguments you can use in the same function. Here,  a  and b  are arguments for the swap function. You'll get output as swapped when you use the swap function. def swap(a, b):  return b,a  Logic to swap strings. i = "Hello world" j = "This is ApplyBigAnalytics"  (i, j) = swap(i, j)  print(i)  print(j)  Logic to Swap two numbers. i = 1  j = 2  (i, j) = swap(i,j)  print(i)   print(j) Here is output This is ApplyBigAnalytics  Hello world  2  1 Related Posts The Real Purpose of Underscore in Python 
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