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An educational side project

The Pragmatic Engineer

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. You can read this here. Including adding unit tests.

Education 363
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I asked ChatGPT to write a blog post about Data Engineering. Here it is.

Confessions of a Data Guy

It involves designing and building the infrastructure to store and process data, as well as developing the tools and systems to extract valuable insights and knowledge from that […] The post I asked ChatGPT to write a blog post about Data Engineering. Here it is. appeared first on Confessions of a Data Guy.

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Streamlit vs Gradio – A Guide to Building Dashboards in Python

Analytics Vidhya

This blog is a tutorial for building intuitive frontend interfaces for Machine Learning models using two popular open-source libraries […] The post Streamlit vs Gradio – A Guide to Building Dashboards in Python appeared first on Analytics Vidhya.

Python 151
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Building A Data Mesh Platform At PayPal

Data Engineering Podcast

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. We feel your pain. It ends up being anything but that. When is a data mesh the wrong choice?

Building 147
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7 Free Platforms for Building a Strong Data Science Portfolio

KDnuggets

Outshine others and increase your odds of getting hired by maintaining a data science portfolio with projects, resumes, blogs, and reports.

Portfolio 160
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Building Real-time Machine Learning Foundations at Lyft

Lyft Engineering

On the flip side, there was a substantial appetite to build real-time ML systems from developers at Lyft. In this blog post, we will discuss what we built in support of that goal and some of the lessons we learned along the way. To meet the needs of our customers, we kicked off the Real-time Machine Learning with Streaming initiative.

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How Edmunds builds a blueprint for generative AI

databricks

This blog post is in collaboration with Greg Rokita, AVP of Technology at Edmunds. Long envisioned as a key milestone in computing, we've.

Building 118