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Fundamentals of Apache Spark

Knowledge Hut

Fast: As spark uses in-memory computing it’s fast. Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. It’s also called a Parallel Data processing Engine in a few definitions. It can run queries 100x faster.

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

In this case study, LinkedIn's Bingfeng Xia, Engineering Manager, and Xinyu Liu, Senior Staff Engineer, shed light on how the Apache Beam programming model's unified, portable, and user-friendly data processing framework has enabled a multitude of sophisticated use cases and revolutionized streaming processing at LinkedIn.

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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

Netflix Tech

In this blog post, we present our project on Auto Remediation, which integrates the currently used rule-based classifier with an ML service and aims to automatically remediate failed jobs without human intervention. Therefore, the operational cost increases linearly with the number of failed jobs.

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How Games Typically Get Built

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of for topics from the past newsletter issue Game Development Basics.

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How to get datasets for Machine Learning?

Knowledge Hut

Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model. A d ataset is used to draw better insights and get a clear picture of a particular problem statement. Datasets play a crucial role and are at the heart of all Machine Learning models.

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Top Software Engineering Tools You Need to know in 2024

Knowledge Hut

We want the job to be completed quickly, accurately, and with the least effort possible. While some of these frameworks, languages, and software engineering tools might significantly speed up and simplify your work, others might leave you with much to regret. What is a Software Engineer? What are Software Engineering Tools?

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Data News — Week 23.37

Christophe Blefari

If you're late to the party and you need fresh views on LLMs Daniel wrote an introduction demystifying the Large Language Models and Jesse wrote about LLMs impact from a Data Engineering perspective. I don't recommend it, it's a Pandora's box we don't want to open. Crazy amounts. A bittersweet feeling.