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SKU/Artículo: AMZ-B0F7HVSSRR

Big Data Fundamentals:: Architecture, Processing, and Analytics at Scale

Format:

Kindle

Kindle

Paperback

Detalles del producto

Disponibilidad:
Fuera de stock

Peso con empaque:
0.36 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

In Big Data Fundamentals: Architecture, Processing, and Analytics at Scale, seasoned Big Data expert Manjeet Malaga draws upon decades of hands-on experience to offer a comprehensive guide to the modern data ecosystem. Whether you're a data engineer, architect, analyst, or IT decision-maker, this book delivers essential insights into how to design, build, and optimize scalable data solutions in today’s high-volume, high-velocity environments.This book demystifies the foundational principles behind distributed systems, data lakes, cloud-native processing, and real-time analytics. You’ll explore the core architectural patterns and processing models that power big data platforms — from Hadoop and Spark to modern cloud-based solutions — and understand how they integrate with business intelligence and machine learning at scale.Inside, you’ll learn:Core concepts of Big Data and the evolving data landscapeArchitecture patterns for scalable data pipelines and storageBatch vs. stream processing models and when to use eachTools and frameworks like Hadoop, Spark, Kafka, and moreBest practices for data governance, quality, and securityHow organizations leverage big data for predictive analytics and business growthWhether you're building your first big data platform or modernizing an existing system, Big Data Fundamentals serves as a strategic blueprint grounded in real-world use cases and practical guidance.

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