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Build a Reproducible and Maintainable Data Science Project: A Free Online Book

KDnuggets

This free online book is a fantastic resource on how to structure, manage, and maintain your real-world data science projects.

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The Book to Start You on Machine Learning

KDnuggets

This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.

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The “10x engineer:" 50 years ago and now

The Pragmatic Engineer

Lots of time has passed, yet the book is still relevant. ” Brooks agrees with this observation, and suggests a radical solution: have as few senior programmers as possible, and build a team around each one – a bit like how a hospital surgeon leads a whole team. ‘The Mythical Man Month’ by Frederick P.

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Best Software Engineering Books [2024]

Knowledge Hut

Also, you must go through certain software engineering books to make your knowledge and skills robust for the job. In this article, we will read about some of the most prevalent and widely loved and best books to read for software engineers that can help you get a good hold of all the concepts in engineering.

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Unlocking Your dbt Projects With Practical Advice For Practitioners

Data Engineering Podcast

Summary The dbt project has become overwhelmingly popular across analytics and data engineering teams. Dustin Dorsey and Cameron Cyr co-authored a practical guide to building your dbt project. In this episode they share their hard-won wisdom about how to build and scale your dbt projects.

Project 147
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Troubleshooting Kafka In Production

Data Engineering Podcast

Elad Eldor has experienced these challenges first-hand, leading to his work writing the book "Kafka: : Troubleshooting in Production" In this episode he highlights the sources of complexity that contribute to Kafka's operational difficulties, and some of the main ways to identify and mitigate potential sources of trouble.

Kafka 245
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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. What are the core problems that you were addressing with this project? We feel your pain.

Building 147