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Designing Data-Intensive Applications

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Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What ... Read more

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Managing AI Projects

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Practical TLA+

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Recommended For You

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Designing Data-Intensive Applications

Fundamentals of Software Architecture

Theory of Fun for Game Design

100 More Things Every Designer Needs To Know About People

Managing AI Projects

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Learn Kotlin for Android Development

Articulating Design Decisions

The Art of Game Design

Introduction to Compiler Design

Product Management in Practice

Feedback Control for Computer Systems

Data Science for Business

Logic And Language Models For Computer Science (Third Edition)

Writing a C Compiler

Beginning ReactJS Foundations Building User Interfaces with ReactJS

Escaping the Build Trap

The Product-Minded Engineer

Outnumbered

A BIM Professional's Guide to Learning Archicad

Digital Transformation with Dataverse for Teams

Practical AI Security

Practical TLA+

Think Like a UX Researcher