Over the last decade, I've built highly scalable distributed data platforms and helped companies scale to processing multiple exabytes of data. My mission is to bring software practices followed by top tech companies to data engineering and help data engineers level up. I help data engineers land high paying tech jobs and significantly up skill themselves.
3 Data Storage Techniques For Faster & Cheaper Queries
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Hello Reader, Are your data costs skyrocketing? Are your queries timing out? You know techniques like partitioning and bucketing exist — but knowing when to use which is where most engineers get stuck. What if you had an easy way to determine what technique to use to make your queries fast and cheap? This post gives you exactly that, a rule-of-thumb pattern for analytical tables that is useful in real life and in interviews. > 3 Data Storage Techniques Every Data Engineer Should Know If you want to go further with step-by-step implementation, when and where to use each technique, and their tradeoffs, my self-paced Data Engineering Course opens April 26th, details coming soon. Regards, Joseph Machado |
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Over the last decade, I've built highly scalable distributed data platforms and helped companies scale to processing multiple exabytes of data. My mission is to bring software practices followed by top tech companies to data engineering and help data engineers level up. I help data engineers land high paying tech jobs and significantly up skill themselves.