JavaScript parece estar deshabilitado en tu navegador. Para la mejor experiencia en nuestro sitio, asegúrate de activar JavaScript en tu navegador.

SKU/Artículo: AMZ-B0GDX65L56

DATA-DRIVEN WEB APPLICATIONS AND DASHBOARDS

Detalles del producto

Disponibilidad:
Fuera de stock

Peso con empaque:
0.94 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

This comprehensive textbook covers the complete landscape of building data-driven web applications and dashboards, spanning from foundational concepts to advanced future trends. It begins by tracing the evolution of data-driven systems from simple database-backed websites of the 1990s through Web 2.0's interactive experiences to today's sophisticated analytical platforms powered by APIs, real-time updates, and machine learning. The book explores data modeling fundamentals, distinguishing between structured, semi-structured, and unstructured data, and covers both relational database design with normalization principles and NoSQL alternatives including document, key-value, column-family, and graph databases. Backend API development receives extensive treatment through RESTful architecture principles and GraphQL's flexible query language, addressing critical concerns like security, pagination, filtering, and performance optimization. Database integration patterns cover data access layers, ORM/ODM frameworks, validation, large dataset handling, and compliance requirements. Front-end development chapters examine API consumption using Fetch and Axios, state management strategies, asynchronous data flows, and rendering performance optimization techniques like virtual scrolling and memoization. The visualization section establishes principles for effective data presentation, explores chart types and their appropriate uses, and covers real-time dashboard implementation using libraries like D3.js, Chart.js, and Recharts. Real-time processing receives dedicated attention through WebSockets, Server-Sent Events, event-driven pipelines, and message brokers like Kafka and RabbitMQ. The book concludes with production concerns including caching strategies, security practices, load testing, scaling approaches, monitoring and observability, plus forward-looking topics such as AI/ML integration, predictive analytics, serverless architectures, edge computing, and emerging trends like augmented analytics and conversational interfaces.

Fuera de stock

Selecciona otra opción o busca otro producto.

Medios de pago

Aceptamos múltiples medios de pago para tu comodidad

Tarjetas prepagas, débito y crédito