Distributed Caching Data Management
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Distributed Caching Data Management
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 101-01-01
Distributed Caching Data Management written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 101-01-01 with Computers categories.
🚀 Supercharge Your Data Systems with Distributed Caching! 🚀 Unlock the full potential of your applications with "Distributed Caching & Data Management: Mastering Redis, Memcached, and Apache Ignite". This 3-in-1 guide equips you with the essential tools to optimize performance, scalability, and data management for real-time applications. What's Inside? 📘 Book 1: Mastering Redis and Memcached for Real-Time Data Caching Learn how to use Redis and Memcached for fast, efficient data retrieval and optimize application performance with real-time caching. 📘 Book 2: Building Scalable Data Systems with Apache Ignite Master Apache Ignite to build scalable, high-performance data systems that can handle massive datasets with ease. 📘 Book 3: Advanced Caching Techniques: Redis, Memcached, and Apache Ignite in Practice Go beyond the basics with advanced techniques to tackle complex caching challenges and enhance system performance. Why This Book? Comprehensive: Covers all you need to know about Redis, Memcached, and Apache Ignite. Real-World Examples: Learn practical, hands-on techniques for optimizing data management. Boost Performance: Speed up your systems and handle large-scale data efficiently. For All Levels: From beginner to expert, this book will elevate your caching skills. 💡 Ready to Master Caching? 💡 Grab your copy of "Distributed Caching & Data Management" today and transform your data systems into high-performance, scalable powerhouses! 📚
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
Data Management In Grid And Peer To Peer Systems
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Author : Abdelkader Hameurlain
language : en
Publisher: Springer
Release Date : 2009-08-24
Data Management In Grid And Peer To Peer Systems written by Abdelkader Hameurlain and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-24 with Computers categories.
The synergy and convergence of research on grid computing and peer-to-peer (P2P) computing have materialized in the meeting of the two research communities: parallel systems and distributed systems. The main common objective is to harness Internet-connected resources (e.g., CPU, memory, network bandwidth, data sources) at very large scale. In this framework, the Globe Conference tries to consolidate the bidirectional bridge between grid and P2P systems and large-scale heterogeneous distributed database systems. Today, the grid and P2P systems hold a more and more important position in the landscape of the research in large-scale distributed systems, and the applications which require an effective management of voluminous, distributed and heterogeneous data. This importance comes out of characteristics offered by these systems: autonomy and dynamicity of peers, decentralized control for scaling, and transparent sharing large-scale distributed resources. The second edition of the International Conference on Data Management in Grid and P2P Systems was held during September 1-2, 2009 in Linz, Austria. The main objective of this conference was to present the latest results in research and applications, to identify new issues, and to shape future directions.
Big Data Management And Processing
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2017-05-19
Big Data Management And Processing written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-19 with Business & Economics categories.
From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.
Fast And Scalable Cloud Data Management
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Author : Felix Gessert
language : en
Publisher: Springer Nature
Release Date : 2020-05-15
Fast And Scalable Cloud Data Management written by Felix Gessert and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Computers categories.
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.
Scalable Data Management For Future Hardware
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Author : Kai-Uwe Sattler
language : en
Publisher: Springer Nature
Release Date : 2025-01-23
Scalable Data Management For Future Hardware written by Kai-Uwe Sattler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Computers categories.
This open access book presents the results of the DFG priority program on Scalable Data Management for Future Hardware. It details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management. The nine chapters of the book present a wide range of data management architectures in conjunction with current hardware developments, often related to applications in data analytics or machine learning. They cover topics such as hardware-accelerated query or event processing on FPGA, GPU, and multicore CPUs, scalable data management in data center networks or on modern memory and storage technologies, and operating system support. This book provides researchers in academia and industry with a comprehensive combination of data management, operating systems, distributed systems and computer architecture issues necessary to address the requirements from practice as well as to propel innovative ideas and challenging research questions.
Big Data In Action From Algorithms To Scalable Product Solutions 2025 Author 1 Dr Mehraj Ali Usman Ali
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Author : AUTHOR:1-Dr. Mehraj Ali Usman Ali, AUTHOR:2 -Dr. Shakeb Khan
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Big Data In Action From Algorithms To Scalable Product Solutions 2025 Author 1 Dr Mehraj Ali Usman Ali written by AUTHOR:1-Dr. Mehraj Ali Usman Ali, AUTHOR:2 -Dr. Shakeb Khan and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In an era dominated by technological advancements, the ability to extract meaningful insights from the ever-expanding volume of data has become a competitive advantage for organizations worldwide. Big Data, with its vast scope, provides companies with unprecedented opportunities to understand consumer behavior, optimize operations, and forecast future trends. Yet, despite its potential, raw data alone is insufficient; it needs to be processed, analyzed, and interpreted in a way that yields actionable insights. This is where Predictive Analytics comes into play. Predictive analytics is the practice of using historical data, machine learning algorithms, and statistical models to forecast future outcomes and trends. By leveraging Big Data, predictive analytics allows organizations to anticipate future behaviors, market shifts, and operational needs with remarkable accuracy. This predictive power is transforming industries, from retail and healthcare to finance and manufacturing, by providing businesses with tools to make data-driven decisions rather than relying solely on intuition or past experience. The goal of this book is to explore the intersection of Big Data and Predictive Analytics, providing readers with both theoretical insights and practical approaches to harnessing predictive models in Big Data environments. Throughout the chapters, we will cover the various types of predictive models, including regression analysis, time-series forecasting, decision trees, and neural networks, highlighting how these models can be applied to Big Data to solve real-world challenges. These methodologies are essential for applications ranging from demand forecasting and fraud detection to personalized marketing and healthcare diagnostics. Data preparation plays a pivotal role in predictive analytics, and this book will delve into the critical process of cleaning, transforming, and normalizing Big Data to ensure accurate and reliable predictions. Additionally, we will explore the implementation of machine learning algorithms, such as supervised and unsupervised learning, which form the backbone of many predictive models used in modern business applications. One of the core themes of this book is to demonstrate how predictive analytics is not just a tool for data scientists but a crucial component of decision support systems, helping organizations make informed choices across various departments, including marketing, operations, and finance. The book will also address the challenges that come with predictive analytics, such as data quality, overfitting, and model interpretability, providing solutions to these common obstacles. Through detailed case studies, particularly in the financial, retail, and healthcare sectors, this book highlights the transformative impact of predictive analytics in Big Data. By the end of this book, readers will not only gain an understanding of the core principles of predictive analytics but will also be equipped with the knowledge to apply these techniques in their own organizations to drive meaningful business outcomes. We hope this book serves as both an academic resource and a practical guide, empowering professionals, researchers, and students to fully leverage predictive analytics in the context of Big Data. Authors Dr. Mehraj Ali Usman Ali Dr. Shakeb Khan
Efficient Database Management With Heidisql
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-11
Efficient Database Management With Heidisql written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.
"Efficient Database Management with HeidiSQL" Unlock the full potential of modern relational databases with "Efficient Database Management with HeidiSQL," the definitive guide for both aspiring and veteran database administrators, developers, and data architects. This comprehensive book explores HeidiSQL’s robust architecture and the advanced installation strategies needed to deploy secure, high-performance environments across diverse platforms. It seamlessly navigates through core design concepts, optimal network configurations, and multilingual workflows, ensuring readers can adapt HeidiSQL to a wide range of business and technical scenarios. Delving beyond core connectivity, the book covers advanced schema design, evolution, and performance tuning, empowering readers to model complex entity relationships, manage indexes, and automate migrations with precision. Comprehensive guidance on data manipulation, bulk operations, and SQL development includes insider techniques for error recovery, code optimization, and scripting integration—vital for managing demanding datasets and mission-critical workloads. A dedicated focus to security, compliance, and team collaboration arms professionals with the strategies to safeguard data, implement robust access controls, and coordinate multi-user changes through source control and automated workflows. Addressing the realities of today’s hybrid and cloud-first ecosystems, the final chapters provide practical solutions for cloud database management, high availability, and disaster recovery, supported by actionable monitoring, troubleshooting, and scaling methodologies. "Efficient Database Management with HeidiSQL" is an indispensable resource for mastering operational excellence and transforming your database infrastructure into a resilient, collaborative, and future-proof asset.
Eccws2016 Proceedings Fo The 15th European Conference On Cyber Warfare And Security
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Author : Robert Koch
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2016-06-15
Eccws2016 Proceedings Fo The 15th European Conference On Cyber Warfare And Security written by Robert Koch and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-15 with Computers categories.
These proceedings represent the work of researchers participating in the 15th European Conference on Cyber Warfare and Security (ECCWS 2016) which is being hosted this year by the Universitat der Bundeswehr, Munich, Germany on the 7-8 July 2016. ECCWS is a recognised event on the International research conferences calendar and provides a valuable plat-form for individuals to present their research findings, display their work in progress and discuss conceptual and empirical advances in the area of Cyberwar and Cyber Security. It provides an important opportunity for researchers and managers to come together with peers to share their experiences of using the varied and ex-panding range of Cyberwar and Cyber Security research available to them. With an initial submission of 110 abstracts, after the double blind, peer review process there are 37 Academic research papers and 11 PhD research papers, 1 Master's research paper, 2 Work In Progress papers and 2 non-academic papers published in these Conference Proceedings. These papers come from many different coun-tries including Austria, Belgium, Canada, Czech Republic, Finland, France, Germany, Greece, Hungary, Ireland, Kenya, Luxembourg, Netherlands, Norway, Portugal, Romania, Russia, Slovenia, South Africa, Sweden, Turkey, UK and USA. This is not only highlighting the international character of the conference, but is also promising very interesting discussions based on the broad treasure trove of experience of our community and partici-pants."
Kotlin Development Essentials Mastering Core Concepts And Techniques
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2024-12-11
Kotlin Development Essentials Mastering Core Concepts And Techniques written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Computers categories.
Embark on a transformative journey into Kotlin programming with "Kotlin Development Essentials: Mastering Core Concepts and Techniques." This definitive guide equips you to harness the full potential of one of today's most sought-after programming languages. Whether you’re transitioning from Java, diving into Android app development, or building robust backend services, this book lays a strong foundation in Kotlin, enriched with practical applications to launch your development career. This expertly structured guide facilitates a thorough learning progression, guiding you from setting up your Kotlin development environment to mastering its syntax and fundamental programming concepts. Explore functions, handle collections efficiently, and delve into advanced topics like object-oriented and asynchronous programming. Seamlessly integrate with Java, manage data adeptly, and bring Android applications to life, utilizing Kotlin's modern and expressive features. Ideal for beginners yet detailed enough for seasoned developers, each chapter is crafted to build upon prior knowledge, ensuring a deep understanding of Kotlin’s capabilities. Engage with practical examples, tackle coding exercises, and absorb professional insights, equipping you to meet real-world challenges with confidence. Write concise, robust, and efficient applications with ease. Unlock the potential of Kotlin for your development projects. Whether you aim to create cutting-edge Android apps, develop powerful server-side applications, or simply embrace a modern programming paradigm, "Kotlin Development Essentials: Mastering Core Concepts and Techniques" is your key resource for success.