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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
The ultimate guide to navigating the complex world of data processing and storage! π Are you tired of feeling overwhelmed by the sheer variety of tools available for handling data? Do you struggle to make sense of buzzwords like "relational databases," "NoSQL datastores," "stream processors," and "message brokers"? Look no further! π In this comprehensive guide, renowned researcher and entrepreneur Martin Kleppmann provides a practical and insightful roadmap for navigating the diverse landscape of data processing and storage technologies.
π With a focus on the fundamental principles that underlie modern data systems, Kleppmann offers actionable advice for software engineers and architects looking to make informed decisions about the right tools for their applications.
π‘ Whether you're building a new system from scratch or looking to upgrade an existing one, this book will help you: π― Identify the strengths and weaknesses of different technologies π Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity π Peek behind the scenes of major online services and learn from their architectures π Make informed decisions based on real-world examples and case studies Don't let the complex world of data processing and storage hold you back any longer! πͺ With this book as your guide, you'll be well on your way to building modern applications that are efficient, reliable, and scalable.
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