Modern Data Systems: Designing Reliable, Scalable, and Intelligent Applications: A practical journey into the architecture, patterns, and principles ... Foundations of Modern Data and AI Systems)
Disponibilidad:
Fuera de stock
Fuera de stock
Peso con empaque:
0.33 kg
0.33 kg
Devolución:
No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Sobre este producto
- How to think like a data architect — designing for flow, not for features.
- The core principles of scalability: partitioning, caching, replication, and elasticity.
- The truth about consistency — from strong and eventual models to the CAP theorem and real-world trade-offs.
- The patterns of reliability — fault tolerance, failover, retries, and circuit breakers that make systems resilient.
- The inner workings of databases: B-trees, LSM trees, transaction isolation, and indexing.
- How to design streaming and event-driven pipelines that move data at real-time speed.
- Building observability and resilience into distributed systems with metrics, tracing, and feedback loops.
- The architecture behind AI and machine learning systems — from data pipelines to MLOps and model deployment.
- Practical design strategies for future-proofing your architecture through schema evolution and versioning.
Producto prohibido
Este producto no está disponible
Este producto viaja
de USA ![]()
a tus manos en
![]()
a tus manos en
Compra protegida
Disfruta de una experiencia de compra segura y confiable
Tarjetas de Crédito y Débito
Visa
Mastercard
American Express
Pagos a través de PayPal
Compra procesada en dólares con dinero en cuenta o tarjetas internacionales.
Paypal
Pagos a través de MODO
Compra procesada en pesos desde la App de tu banco.
PayPal
Tienes garantía de entrega 