Showing posts with the label Rules

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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

Python How to Create Function

In Python, you can define and call the function. Once done, you can call it later from the other program. I have shared the structure of it. And, I have added the three rules of it; useful for interviews. Structure of Function Structure of Function Rules to Create a Function A function definition is executable. The body will have the code to perform the task you wish. You can assign default parameter values. 1. Key Elements. You will find here three key elements of the Python function. Here you can read the parameter vs argument differences . Name of a function. It can be any valid identifier. It should be meaningful, and it should convey the work it will do. Parameter. These should be separated with command and should be in the parentheses following the name of the function. The parameters are input to function. It can have any parameters. Body of the function. The function body can contain code that implements the task to be performed by it. 2. Sample Function. Python Example. def