After 10 years of Data Engineering work, I think it’s time to hang up the proverbial hat and ride off into the sunset, never to be seen again. I wish. Everything has changed in 10 years, yet nothing has changed in 10 years, how is that even possible?

Sometimes I wonder if I’ve learned anything at all, maybe I’m just like the moras of Data Warehouses moldering out there in forgotten and beaten SQL Servers. The technology has shifted drastically under my feet, yet I’ve managed to keep my fingernails firmly sunk into the edge of the cliff of technical and personal obsolesce that seems intent on dragging me away to the purgatory of useless programmers and tools.

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One of the things I love about Python is its flexibility and huge community, a community that puts out a never-ending stream of useful packages for the average Software Engineer. In a show of solidarity to the open-source community, I thought I would publish a PYPI package that will probably be used by 5 people around the world.

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The battle for the Data Warehouse, Data Lake, Lake House, or whatever you want to call it, in the age of AI just got more interesting. In an unsurprising move, Databricks has announced plans to buy Tabular for 1 billion dollars, beating out Snowflake who was reportedly trying to do the same thing.

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Nothing will raise the hackles on the backs of hairy and pale programmers who’ve been stuck in their mom’s basement for a decade like bringing up OOP (Object Oriented Programming), especially in the context of Python. It’s like two fattened calves prepared for slaughter, sharpen your knives, and take your place, it’s time to feast upon the boiling cauldron of emotions simmering away in the interwebs.

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