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Healthcare companies across the industry are jumping on the trend of creating data science teams, but many of them are jumping prematurely.
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How to populate your staging environment with data while keeping user data secure.
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Learn the difference between a Table and a Stream in Kafka and when to use them.
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Make your job queue more performant, robust, and understandable by breaking it up into a pipeline of messages.
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We’ve been doing more data engineering for clients lately. Every time I say we’re doing that, I have to explain what it is and what we’re doing! A brief glossary to describe data engineering and some common practices and technologies in the data engineering ecosystem.
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Use interval and date_trunc to make working with SQL dates easier.
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Write testable reports in SQL that don’t erode over time.
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What do you do when indexes aren’t enough?
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Take a guided tour through a query plan for a “simple” SQL query.
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A discussion about the reasons for using Active Record migrations vs. temporary rake tasks for data manipulations.