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Looking for Guidance on Improving VBA Code for Big Data Sets
Autor: Ellis Velly
Datum: 28.11.24 06:27
Hello Everyone, I’ve been working on a project in Excel VBA that involves processing large data sets (100,000+ rows). The goal is to clean, transform, and extract insights from the data, but I’ve encountered significant performance bottlenecks as the size of the data increases. Here’s a quick summary of what I’m doing: Data Cleaning: Removing duplicates, trimming extra spaces, and standardizing formats. Transformation: Adding calculated columns, splitting data into subsets, and merging similar records. Insights Extraction: Running loops to identify patterns, aggregate metrics, and generate reports. Currently, I’m using loops extensively for most tasks, but I’ve heard that relying too much on them can slow things down. I’ve tried a few optimizations like turning off screen updating and calculation during execution, but the improvements have been minor. Here are my questions: - Are there specific strategies or best practices in VBA to optimize performance when working with large data sets? - Would leveraging built-in Excel functions (via WorksheetFunction) or arrays be more efficient than direct cell-by-cell operations? - Would it make sense to explore integrating SQL or Power Query into the workflow to handle the heavy lifting? If so, are there any good resources for getting started with this integration? Are there tools or plugins that can help profile VBA code to identify the main performance bottlenecks? I’d greatly appreciate any tips, examples, or resources that you can share. If anyone has faced a similar challenge, I’d love to hear how you resolved it. Thank you in advance for your time and assistance! Ellisservicenow

Looking for Guidance on Improving VBA Code for Big Data Sets

291

Ellis Velly

28.11.24 06:27

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