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Lessons Learned from Scaling to Multi-Terabyte Datasets
This post is meant to guide you through some of the lessons I’ve learned while working with multi-terabyte datasets. The lessons shared are focused on what someone may face as the size of the…
A quick note: While you can use this to download many files, be aware that this can cause strain on servers by creating multiple connections, leading to network congestion and reduced performance for other users or even being seen as a DOS attack. Another point I’d like to mention is that while you can get things working quicker with Parallel, it may be challenging to manage bash commands, especially for a beginner where the rest of the team might be more Python/traditional programming language focused. When scaling beyond a single machine is necessary, AWS Batch, Dask, and Spark provide robust solutions for various workloads, from embarrassingly parallel tasks to complex analytical operations.
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