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Showing posts with the label Defects in Software development

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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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2 Root Causes for Defects in Software Development

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Miscommunication Miscommunication is a common factor, which can be defined as inaccurate statements or information missing that is required for the action to be done successfully. This miscommunication ends up in the documentation or verbal communication that occurs. Instead of spending time to make sure everything is accurate, statements are made that are untrue or unclear. When this occurs at the beginning of the change process the bad information continues down through the process. Decisions and design are made based on it.  At some point it gets realized that the information is bad and a defect is created. In the common project process that could be classified as linear, most defects are not found until in the later phase of development and unit testing has started. Process Defects This would be similar to a defect a machine makes in manufacturing. Even though the input is accurate, the process itself causes a defect to occur.  The original process was prone to defects no matt
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