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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. Serving a web page.

Education 363
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How to Write Engaging Technical Blogs

KDnuggets

Learn the rules for writing technical blogs, and increase unique views tenfold. Focusing on title, images, vocabulary, code blocks, writing style, and social media promotion can help you build a solid brand.

Media 108
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Building Auditable Spark Pipelines At Capital One

Data Engineering Podcast

Summary Spark is a powerful and battle tested framework for building highly scalable data pipelines. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Building 130
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Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering

Cloudera

This presented challenges for users in building more complex multi-step pipelines that are typical of DE workflows. In the process several key themes emerged: Low/No-code. Writing code is error prone and requires trial and error. Stay tuned for more developments in the coming months and until then happy pipeline building!

Coding 120
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Top 20 Front-end Developer Projects of 2023 [With Source Code]

Knowledge Hut

This will help you build a passion for coding as well as improve your programming skills. You can proceed by watching instructional videos to learn a skill or two, but you must finally begin building the projects. This project could also be a good way to get your feet wet with JS libraries/frameworks like React or Vue.

Coding 97
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Indexing code at scale with Glean

Engineering at Meta

Were sharing details about Glean , Metas open source system for collecting, deriving and working with facts about source code. In this blog post well talk about why a system like Glean is important, explain the rationale for Gleans design, and run through some of the ways were using Glean to supercharge our developer tooling at Meta.

Coding 70
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Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Snowflake

Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT. Join us in Vegas at our Summit to learn more.

Building 117