Relational Databases And Distributed Systems
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Relational Databases And Distributed Systems
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Author : Andreas Sofroniou
language : en
Publisher: Lulu.com
Release Date : 2018-03-13
Relational Databases And Distributed Systems written by Andreas Sofroniou and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Computers categories.
A database is a logically organised collection of related data, generally accessed by a set of programs known as a Database Management System (DBMS), which oversees the creation and use of the database and controls access to the data. The organisation of a database obviates the need to duplicate information to meet the various requirements of different groups of users, and ensures that the data always remains consistent. A large database requires extensive storage facilities. In some organisations and services, databases can be accessed over networks from microcomputers or as videotex. 'Relational' databases and hypertext techniques include extensive and complex cross-reference facilities so that information on related items may be retrieved. Many database programs have been designed to run on micro-computers. Some of these contain computer languages that enable users to change the operation of the database to suit their requirements.
Distributed Systems
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Author : Ratan K. Ghosh
language : en
Publisher: John Wiley & Sons
Release Date : 2023-02-07
Distributed Systems written by Ratan K. Ghosh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-07 with Computers categories.
Distributed Systems Comprehensive textbook resource on distributed systems—integrates foundational topics with advanced topics of contemporary importance within the field Distributed Systems: Theory and Applications is organized around three layers of abstractions: networks, middleware tools, and application framework. It presents data consistency models suited for requirements of innovative distributed shared memory applications. The book also focuses on distributed processing of big data, representation of distributed knowledge and management of distributed intelligence via distributed agents. To aid in understanding how these concepts apply to real-world situations, the work presents a case study on building a P2P Integrated E-Learning system. Downloadable lecture slides are included to help professors and instructors convey key concepts to their students. Additional topics discussed in Distributed Systems: Theory and Applications include: Network issues and high-level communication tools Software tools for implementations of distributed middleware. Data sharing across distributed components through publish and subscribe-based message diffusion, gossip protocol, P2P architecture and distributed shared memory. Consensus, distributed coordination, and advanced middleware for building large distributed applications Distributed data and knowledge management Autonomy in distributed systems, multi-agent architecture Trust in distributed systems, distributed ledger, Blockchain and related technologies. Researchers, industry professionals, and students in the fields of science, technology, and medicine will be able to use Distributed Systems: Theory and Applications as a comprehensive textbook resource for understanding distributed systems, the specifics behind the modern elements which relate to them, and their practical applications.
Designing Scalable Fault Tolerant Distributed Systems For Cloud Storage And Data Management
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Author : Vignesh Natarajan Prof Dr. Punit Goel
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-16
Designing Scalable Fault Tolerant Distributed Systems For Cloud Storage And Data Management written by Vignesh Natarajan Prof Dr. Punit Goel and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-16 with Computers categories.
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
E Business And Distributed Systems Handbook
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Author : Amjad Umar
language : en
Publisher: nge solutions, inc
Release Date : 2003
E Business And Distributed Systems Handbook written by Amjad Umar and has been published by nge solutions, inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
This module of the handbook concentrates on solution architectures through components. Topics include the role of component-based web application architectures, architecture patterns, enterprise data architectures, implementation examples using XML Web Services, Sun's J2EE, and Microsoft's .NET.
Mastering Distributed Computing
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Distributed Computing written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Uncover the Art of Seamless Distributed Computing with "Mastering Distributed Computing" In the dynamic realm of modern computing, the ability to harness the power of distributed systems is paramount. "Mastering Distributed Computing" is your definitive guide to mastering the art of seamlessly orchestrating distributed resources for optimal performance and scalability. Whether you're an experienced software engineer or a newcomer to the world of distributed computing, this book equips you with the knowledge and skills needed to navigate the intricacies of distributed systems. About the Book: "Mastering Distributed Computing" takes you on an enlightening journey through the intricacies of distributed computing, from foundational concepts to advanced techniques. From distributed architectures to consensus algorithms, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of distributed systems, including scalability, fault tolerance, and data consistency. · Distributed Architectures: Explore a range of distributed architectures, including client-server, peer-to-peer, microservices, and serverless, understanding their strengths and applications. · Consistency and Replication: Dive into the complexities of data consistency and replication strategies, including eventual consistency, strong consistency, and distributed databases. · Distributed Algorithms: Master fundamental distributed algorithms, such as leader election, distributed locking, and distributed transactions, for coordinating actions across nodes. · Scaling Strategies: Discover strategies for scaling distributed systems horizontally and vertically, ensuring optimal performance as workloads grow. · Fault Tolerance: Understand mechanisms for building fault-tolerant systems, including redundancy, replication, and failure detection and recovery. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from finance and e-commerce to social media and beyond. · Cloud and Edge Computing: Explore the role of distributed computing in cloud environments and edge computing scenarios, and their impact on modern applications. · Security and Privacy: Explore best practices for securing distributed systems, data encryption, access control, and compliance. Who This Book Is For: "Mastering Distributed Computing" is designed for software engineers, architects, developers, and anyone passionate about effective distributed system design. Whether you're seeking to enhance your skills or embark on a journey toward becoming a distributed computing expert, this book provides the insights and tools to navigate the complexities of distributed systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Building Distributed Systems
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Author : Ranjit Aneesh
language : en
Publisher: BPB Publications
Release Date : 2025-04-28
Building Distributed Systems written by Ranjit Aneesh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.
DESCRIPTION In today's digital landscape, distributed systems are the backbone of scalable and reliable applications, powering everything from e-commerce giants to real-time streaming services. This book, Building Distributed Systems, provides a practical and accessible guide to understanding and constructing these complex architectures, bridging the gap between foundational theory and real-world application. In this book, we will dive into the fundamentals of distributed systems, understand how computing evolved and what are some critical aspects of these systems that software architects and engineers must always be aware of to help them make design and implementation decisions. Furthermore, we will learn to make tradeoff decisions grounded on key objectives that our systems should focus on versus what may not be so important for each specific use case. By the end of this book, you will possess a strong understanding of distributed systems and be equipped to design, build, and deploy scalable and reliable applications. You will gain practical insights into modern architectures, enabling you to confidently tackle the challenges of building and maintaining distributed systems in any environment. WHAT YOU WILL LEARN ● Architect microservices, implement caching, and deploy resilient distributed systems. ● Master event-driven patterns, traffic routing, and cloud platform selection. ● Design for consistency, availability, and implement robust data strategies. ● Optimize performance via CI/CD, load balancing, and advanced caching. ● Engineer fault-tolerant systems using CQRS, circuit breakers, and cloud services. ● Navigate CAP theorem trade-offs and build observable distributed architectures. ● Deploy with feature flags, Kubernetes, and ensure operational readiness. ● Build scalable systems, manage data, and optimize cloud infrastructure. WHO THIS BOOK IS FOR This book is for software engineers, architects, and computer science students eager to build scalable internet systems. A basic understanding of software design principles is beneficial for those seeking practical, real-world implementations. TABLE OF CONTENTS 1. Distributed Systems Fundamentals 2. Monoliths and Microservices 3. Architecture of Distributed Systems 4. Consistency and Availability 5. Design for Speed and Efficiency 6. Event-driven Systems 7. Traffic Routing Strategies 8. Building Resilient Systems 9. Data Storage Strategies 10. Observability and Operational Readiness 11. Distributed Caching 12. Choosing Platform and Technologies 13. Deployment Strategies and Production Readiness
Relational Databases
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Author : D A Bell
language : en
Publisher: Elsevier
Release Date : 2014-05-23
Relational Databases written by D A Bell and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Computers categories.
Relational Databases explores the major advances in relational databases and provides a balanced analysis of the state of the art in relational databases. Topics covered include capture and analysis of data placement requirements; distributed relational database systems; data dependency manipulation in database schemata; and relational database support for computer graphics and computer aided design. This book is divided into three sections and begins with an overview of the theory and practice of distributed systems, using the example of INGRES from Relational Technology as illustration. The following chapters focus on whether relational and relational-like systems actually meet business needs; IBM's Structured Query Language/Data System (SQL/DS); tools for database design and programming; and Secondary Access Methods and the problem of secondary index selection. A number of quantitative models for assessing the performance of physical databases are also described. This text concludes by assessing some of the most conspicuous trends in relational database research and development. This monograph will be of interest to database designers.
Proceedings Of The 3rd International Academic Conference On Blockchain Information Technology And Smart Finance Icbis 2024
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Author : Kannimuthu Subramaniyam
language : en
Publisher: Springer Nature
Release Date : 2024-05-07
Proceedings Of The 3rd International Academic Conference On Blockchain Information Technology And Smart Finance Icbis 2024 written by Kannimuthu Subramaniyam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-07 with Computers categories.
This is an open access book. With the rapid development of modern economy and Internet technology, the traditional financial industry has to develop Internet finance to provide better services and meet the needs of the times. It is against this background that the blockchain, relying on its special advantages (collective maintenance, reliable databases, and decentralization), provides the reliability to solve the credit risk of Internet finance, has an impact on institutions, trust mechanisms, risk control, etc. in the Internet finance industry, and has derived more new application scenarios, thus paving the way for the development of finance in the Internet era. Applying blockchain technology to the financial field can promote data information sharing, improve value transmission efficiency, and enhance database security. The financial market based on the decentralized system of blockchain technology can reduce the operating costs of financial institutions, improve economic efficiency, and solve problems such as information asymmetry. The new financial business model of "blockchain+finance" is conducive to improving the Internet credit reporting system, preventing and controlling Internet financial risks, and further realizing "financial disintermediation". At present, in China's financial field, blockchain technology has been applied and innovated in supply chain finance, cross-border payment, trade finance, asset securitization and other scenarios. To promote the exchange and development of blockchain, information technology and financial experts and scholars. The 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024) will be held in Kuala Lumpur, Malaysia from February 23 to 25, 2024. This conference mainly focuses on the latest research on "blockchain, information technology and smart finance". This conference brings together experts, scholars, researchers and relevant practitioners in this field from all over the world to share research results, discuss hot issues, and provide participants with cutting-edge scientific and technological information, so that you can timely understand the development trends of the industry and master the latest technologies, broaden research horizons and promote academic progress.
Distributed Computing In Big Data Analytics
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Author : Sourav Mazumder
language : en
Publisher: Springer
Release Date : 2017-08-29
Distributed Computing In Big Data Analytics written by Sourav Mazumder and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-29 with Computers categories.
Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use. This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.
Distributed Database Systems
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Author : Chhanda Ray
language : en
Publisher: Pearson Education India
Release Date : 2009
Distributed Database Systems written by Chhanda Ray and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
Distributed Database Systems discusses the recent and emerging technologies in the field of distributed database technology. The material is up-to-date, highly readable, and illustrated with numerous practical examples. The mainstream areas of distributed database technology, such as distributed database design, distributed DBMS architectures, distributed transaction management, distributed concurrency control, deadlock handling in distributed systems, distributed recovery management, distributed query processing and optimization, data security and catalog management, have been covered in detail. The popular distributed database systems, SDD-1 and R*, have also been included.