Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present or future data professional! Few aspects of data engineering are as shame-inducing as saying, after a failed deployment, “But it ran in my environment!” In my first year as a data engineer I was that guy who made excuses like this and grew frustrated that I would complete a build and then struggle to push it over the finish line. Here’s what helped me:
I don’t track my deployment success rate (probably for the best given my initial failures), but I estimate that following the above advice has reduced my failure rate from 20% to between 1-5%. None of these bullets, however, is a substitute for hands-on experience. To step through your own deployment, enroll in my free 5-day Deploy Your First Cloud Function course. As always, please send me any questions: zach@pipelinetode.com. Thanks for ingesting, -Zach |
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Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! If you’re a job seeker in the data space, your GitHub portfolio has only one job: To act as a calling card that gets you to the next step of the hiring process. Too often, I review portfolios for potential referrals and see brilliant code buried under structural mistakes that have nothing to do with programming skill. Your GitHub is not just cloud storage for your code; it’s a public display...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! Despite crushing autocorrect scenarios, most AI code assistants like CoPilot miss a critical step when helping developers of any experience level: Validation. Arguably, leveraging an AI Agent to validate a code’s quality is on the user. But a surprising amount of experienced programmers are taking the worrying approach of believing an AI’s first “thought” when it comes to code that will...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! A data science manager recently gave me some blunt, liberating advice over coffee: “If a team lead really cares what cloud technology you know (AWS, GCP, etc.) and doesn’t consider transferable experience… run.” This critical advice, which informs the conclusion of my soon-to-be-released ebook on data engineering project development, cuts to the core of a major problem in data hiring: The...