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I asked ChatGPT to write a blog post about Data Engineering. Here it is.

Confessions of a Data Guy

Data engineering is a vital field within the realm of data science that focuses on the practical aspects of collecting, storing, and processing large amounts of data. appeared first on Confessions of a Data Guy. Here it is.

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How to learn data engineering

Christophe Blefari

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

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GPT and LLMs from a Data Engineering Perspective

Jesse Anderson

There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. that summarizes blog posts using LLMs.

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Data Engineering Weekly #171

Data Engineering Weekly

link] Gradient Flow: Learning from the Past - Comparing the Hype Cycles of Big Data and GenAI The blogs compare the hype cycle of Big Data with Gen AI. The blog narrates the initial hype of Big Data, followed by talent shortages and lead time to build production applications. Ready to give DoubleCloud a try?

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Data Engineering Weekly #168

Data Engineering Weekly

The blog narrates how Chronon fits into Stripe’s online and offline requirements. link] Canva: Scaling to Count Billions If you know how to count, you’re an excellent data engineer. Counting is the hardest problem in data engineering. Canva writes about such challenges and narrates how it solves them.

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Data Engineering Weekly #166

Data Engineering Weekly

I strongly believe the concept of Data Product will play a bigger role in data engineering. link] Hussein Jundi: Data Engineering - Architectures & Strategies for Handling Sensitive Data The rapid adoption of AI brings challenges for data engineering to design systems to handling sensitive data.

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Worth reading for data engineers - part 1

Waitingforcode

This time I won't blog about my discoveries. Instead, I'm going to see other blog posts from the data engineering space and share some key takeaways with you. Hi and welcome to the new series. I don't know how regular it will be yet but hopefully will be able to share some of the notes every month.