دانلود کتاب برنامه نویسی داده محور – طراحی سیستم های انعطاف پذیر بر اساس داده ها و تغییرات دینامیکی آن

The digital age has transformed data from a passive asset into the driving force behind modern computing. Data is no longer just stored and retrieved—it is analyzed, manipulated, and acted upon in real-time, influencing decision-making across industries. Data-Driven Programming: Designing Flexible Systems Based on Data and Its Dynamic Changes is a response to this evolving landscape. It provides a structured approach to understanding how programming models, frameworks, and system architectures can be designed to adapt dynamically to data-driven requirements. The book explores key principles, methodologies, and technologies that enable software to react to data as it changes, ensuring scalability, efficiency, and robustness. Why Data-Driven Programming? Traditional software development often follows static, rulebased logic, where inputs and outputs are predefined. However, modern applications—from recommendation engines and fraud detection systems to autonomous vehicles and smart grids—rely on continuous data streams and evolving patterns. Data-driven programming shifts the focus from rigid logic to adaptive algorithms that learn and optimize as new data becomes available. This approach enables the creation of intelligent systems capable of responding dynamically to changing environments, improving performance, and enhancing user experience. The need for such systems is evident in industries such as finance, healthcare, e-commerce, and artificial intelligence, where real-time insights and automation drive competitive advantage.