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you’re not gonna like this answer... but there is no one-size-fits-all when it comes to picking a database. it really depends on what the app is trying to do and there are so many trade-offs. in my experience it comes down to sql vs nosql basically how powerful you need your queries to be and how much data you plan on reading and writing. if you have an enormous amount of data that you’re going to be crunching a lot, like in my subscription tracking app where i’m processing thousands of transact
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The Data Engineering Roadmap for 2026 👇 Check this out before it’s too late. AI won’t make Data Engineering irrelevant. In fact, it’s the exact opposite: Reliable, well-governed, and accessible data becomes the ULTIMATE bottleneck when companies start deploying AI agents and LLMs at scale. No good data = no good AI. If I had to start from scratch today, here is my exact step-by-step framework: 1. The Fundamentals: Master SQL and Python. Learn data modeling, APIs, Git, Linux, and Docker. 2. Orch
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