Designing Data-Intensive Applications: 2 books in 1 - The Ultimate Framework to Building, Scaling, and Optimizing Reliable Data Systems. From Fundamen
暫譯: 設計數據密集型應用程式：兩本合一 - 建立、擴展和優化可靠數據系統的終極框架。從基礎開始

This isn't just another tech book-it's your complete roadmap to mastering data engineering and building scalable, high-performance data systems. From designing distributed architectures to creating data pipelines, this 2-in-1 bundle combines foundational concepts with hands-on projects, delivering a practical and immersive learning experience.

Whether you're a data engineer, software developer, or aspiring tech professional, theory alone won't cut it-you need actionable skills. This guide seamlessly bridges the gap between knowledge and implementation, equipping you with the tools to design, build, and optimize data systems that meet the demands of today's fast-paced, data-driven world.

• Core Principles of Data System Design: Grasp the essentials of data modeling, lifecycle management, and fault-tolerant systems.
• Hands-On Data Pipeline Projects: Build batch and real-time pipelines with tools like Apache Kafka, Spark, and cloud platforms.
• Scalable Distributed Systems: Learn to implement microservices and distributed databases for robust architectures.
• Performance Optimization Techniques: Apply caching, load balancing, and query tuning to ensure top-tier system efficiency.
• Real-World Applications: Work on practical projects like recommendation engines, analytics dashboards, and event-driven pipelines.
• Best Practices for Cloud Deployment: Master cloud platforms like AWS and GCP to deploy and scale your systems.
• System Design Interview Prep: Boost your confidence with strategies and frameworks to tackle complex design challenges.
• Event-Driven Architectures: Master the design and implementation of systems that react to real-time events, ensuring flexibility and responsiveness in your applications.
• Data Lake and Warehouse Design: Understand the differences and learn how to build scalable storage solutions for structured and unstructured data.
• CI/CD for Data Pipelines: Automate the deployment and testing of your data systems using Continuous Integration and Continuous Delivery practices, ensuring faster and more reliable updates.

What Makes This Book Unique?

• Action-Oriented Learning: Each chapter includes hands-on projects that reinforce key concepts.
• Comprehensive and Practical: Covers both batch and real-time processing to ensure you're ready for any data challenge.
• Career-Boosting: Equips you with skills highly sought after in data engineering, making you an invaluable asset in any tech role.

• Data Engineers and Developers: Build scalable, reliable data systems.
• Aspiring Data Professionals: Transition into data engineering with practical skills.
• Tech Students and Practitioners: Expand your knowledge of real-time and batch processing.