Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, w…
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The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
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A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.

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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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The Pragmatic Programmer: From Journeyman to Master
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The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
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Site Reliability Engineering: How Google Runs Production Systems
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This book is meant to help the reader learn how to program in C. It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a wor…
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Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There a…
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