Fast And Scalable Cloud Data Management
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Fast and Scalable Cloud Data Management
The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.
Cloud and Edge Networking
A major transformation in the world of networks is underway, as the focus shifts from physical technology to software-based solutions. In this book, the authors present this new generation of networks that are based in the Cloud by detailing the transition from a complex environment to a simple digital infrastructure. This infrastructure brings together connected devices, the antennas that collect radio waves, the optical fibers that carry signals and the data center that handles all of the different processes. From this perspective, the data center becomes the brain, managing network services, controls, automation, intelligence, security and other applications. This architecture is relevant to carrier networks, the Internet of Things, enterprise networks and the global networks of the major Internet companies. Cloud and Edge Networking further discusses developments at the border of networks, the Edge, where data is processed as near as possible to the source. Over the next ten years, the Edge will become a major strategic factor.
Designing Scalable, Fault-Tolerant Distributed Systems for Cloud Storage and Data Management
Author: Vignesh Natarajan Prof Dr. Punit Goel
language: en
Publisher: DeepMisti Publication
Release Date: 2025-01-16
In an increasingly connected world, where data powers innovation and fuels decision-making, the importance of reliable and scalable distributed systems cannot be overstated. From cloud storage solutions to complex data management platforms, these systems form the backbone of modern computing, enabling businesses to handle massive data volumes while ensuring high availability, fault tolerance, and performance. Yet, designing and implementing such systems is a challenging task, requiring a deep understanding of distributed architectures, fault-tolerant mechanisms, and cloud-native principles. Designing Scalable, Fault-Tolerant Distributed Systems for Cloud Storage and Data Management is a comprehensive guide for engineers, architects, and technology leaders seeking to master the art of building robust distributed systems in the cloud. This book is structured to provide both theoretical foundations and practical insights, covering: • Core principles of distributed systems, including consistency, partitioning, replication, and fault tolerance. • Architectures and design patterns for building scalable cloud storage solutions. • Best practices for achieving fault tolerance, disaster recovery, and high availability. • Tools, frameworks, and cloud platforms that support distributed systems development, such as Kubernetes, Cassandra, and AWS S3. • Case studies illustrating real-world implementations and lessons learned from industry leaders. Throughout this journey, you’ll learn how to address key challenges such as managing eventual consistency, ensuring secure data access, and optimizing for both cost and performance. Whether you’re developing systems for real-time analytics, content delivery, or large-scale data processing, this book offers actionable strategies to meet the demands of today’s distributed environments. As cloud computing continues to evolve, so too must the strategies for building distributed systems. With the rise of multi-cloud deployments, edge computing, and advanced machine learning applications, the ability to design systems that are scalable, resilient, and fault-tolerant is more crucial than ever. This book is more than a technical guide—it is a companion for those who aspire to push the boundaries of what’s possible with distributed systems. By the end, you’ll not only understand the fundamental principles but also possess the confidence to design and implement systems that meet the rigorous demands of the modern digital economy. Authors