Download or read book Big Data Benchmarks Performance Optimization and Emerging Hardware written by Jianfeng Zhan and published by Springer. This book was released on 2014-11-10 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly revised selected papers of the 4th and 5th workshops on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 4 and BPOE 5, held respectively in Salt Lake City, in March 2014, and in Hangzhou, in September 2014. The 16 papers presented were carefully reviewed and selected from 30 submissions. Both workshops focus on architecture and system support for big data systems, such as benchmarking; workload characterization; performance optimization and evaluation; emerging hardware.

Download or read book Getting Started with NoSQL written by Gaurav Vaish and published by Packt Pub Limited. This book was released on 2013 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: NoSQL Starter is a great resource for someone starting with NoSQL and an indispensable guide for technology decision makers. It is assumed that you have a background in RDBMS modeling and SQL and have had exposure to at least one of the programming languages – Java or JavaScript.Friendly, practical tutorial with lots of hints and tips from several experienced Solr users and developers.

Download or read book Distributed Database Management Systems written by Saeed K. Rahimi and published by John Wiley & Sons. This book was released on 2015-02-13 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworks—implemented using J2SE with JMS, J2EE, and Microsoft .Net—that readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.

Download or read book Advanced SQL Performance Tuning written by Robert Johnson and published by HiTeX Press. This book was released on 2024-10-26 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Advanced SQL Performance Tuning: Optimize Your Database Workloads" is a meticulously crafted guide that delves into the intricacies of SQL database optimization, aiming to equip database professionals with the strategies and insights needed to enhance system performance. Through a blend of foundational knowledge and advanced techniques, this book unravels the complexities of database architecture, indexing, query optimization, and more, providing readers with a comprehensive toolkit for tackling performance challenges in diverse SQL environments. The book is structured to facilitate a deep understanding of how various elements, from efficient schema design to sophisticated query strategies, contribute to overall database efficacy. Each chapter builds on the last, introducing tools for monitoring and analyzing performance, while also addressing the benefits of partitioning, sharding, and effective concurrency control. By incorporating both practical solutions and theoretical concepts, this resource aims to foster a new level of proficiency in managing SQL databases, ultimately driving efficiency and reliability in data-driven applications. Whether you are an experienced database administrator or a software engineer looking to refine your skills, this book is a crucial asset for enhancing your database performance optimization expertise.

Download or read book Benchmarking Measuring and Optimizing written by Chen Zheng and published by Springer Nature. This book was released on 2019-10-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018, held in Seattle, WA, USA, in December 2018. The 20 full papers presented were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections named: AI Benchmarking; Cloud; Big Data; Modelling and Prediction; and Algorithm and Implementations.

Download or read book Concise Guide to Databases written by Peter Lake and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-read textbook/reference presents a comprehensive introduction to databases, opening with a concise history of databases and of data as an organisational asset. As relational database management systems are no longer the only database solution, the book takes a wider view of database technology, encompassing big data, NoSQL, object and object-relational and in-memory databases. The text also examines the issues of scalability, availability, performance and security encountered when building and running a database in the real world. Topics and features: presents review and discussion questions at the end of each chapter, in addition to skill-building, hands-on exercises; introduces the fundamental concepts and technologies in database systems, placing these in an historic context; describes the challenges faced by database professionals; reviews the use of a variety of database types in business environments; discusses areas for further research within this fast-moving domain.

Download or read book Mastering NoSQL written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Potential of Flexible Data Storage In the dynamic landscape of modern data management, traditional relational databases often fall short in accommodating the diverse and ever-changing data needs. "Mastering NoSQL" is your comprehensive guide to understanding and harnessing the capabilities of NoSQL databases—a revolutionary approach to data storage that offers flexibility, scalability, and agility like never before. About the Book: The exponential growth of data, coupled with the rise of dynamic applications, has brought NoSQL databases to the forefront of data management. "Mastering NoSQL" provides a deep exploration of this paradigm, catering to both beginners and experienced professionals seeking to revolutionize the way they store, retrieve, and analyze data. Key Features: NoSQL Fundamentals: Begin your journey with an introduction to the foundational concepts of NoSQL. Understand the principles that set NoSQL apart from traditional relational databases. Diverse NoSQL Models: Delve into the various NoSQL database models, such as document stores, key-value stores, column-family stores, and graph databases. Learn the strengths and best use cases for each model. Scalability and Flexibility: Explore the scalability advantages offered by NoSQL databases. Understand how these databases accommodate the challenges of massive data growth and fluctuating workloads. Data Modeling: Grasp the unique data modeling approaches of NoSQL databases. Learn how to design schemas that adapt to evolving data requirements. Consistency and Availability: Understand the trade-offs between consistency and availability in NoSQL systems. Explore the CAP theorem and strategies for maintaining data integrity in distributed environments. Real-World Use Cases: Gain insights into how diverse industries leverage NoSQL databases to solve complex problems. From e-commerce to social networks, explore the applications that harness NoSQL's power. Migration Strategies: Discover techniques for migrating from traditional databases to NoSQL. Learn about data transformation, schema evolution, and ensuring a smooth transition. In a data-driven world, the need for flexible and scalable data storage solutions is paramount. "Mastering NoSQL" empowers database administrators, developers, and technology enthusiasts to unlock the potential of NoSQL databases, enabling them to build applications that thrive in the face of dynamic data demands. Embrace the Future of Data Storage: As the data landscape continues to evolve, NoSQL databases have emerged as a game-changing solution. "Mastering NoSQL" equips you with the knowledge needed to navigate this paradigm shift, allowing you to build resilient, adaptable, and scalable systems that thrive in the era of big data. Your journey to mastering the art of NoSQL begins here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book SQL and NoSQL written by Robert Johnson and published by HiTeX Press. This book was released on 2024-10-26 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: "SQL and NoSQL: Building Hybrid Data Solutions for Modern Applications" offers a comprehensive exploration into the evolving world of data storage, providing readers with essential knowledge to navigate the complexities of modern database technologies. This book meticulously unravels the intricacies of both SQL and NoSQL systems, highlighting their individual capabilities while emphasizing the transformative potential of hybrid architectures. It serves as a crucial resource for students, IT professionals, and decision-makers seeking to understand the balance and synergy between structured and unstructured data management. Through detailed chapters, the book examines core principles, design patterns, and practical implementations, guiding readers through real-world case studies from diverse sectors such as e-commerce, healthcare, and financial services. Alongside foundational knowledge, the text delves into advanced topics and emerging trends, such as machine learning integrations and blockchain technologies, equipping readers with insights to anticipate and leverage future developments in data storage. With a focus on security, scalability, and performance, this book empowers readers to create robust, flexible, and efficient data solutions tailored to the dynamic needs of today's digital age.

Download or read book Readings in Database Systems written by Joseph M. Hellerstein and published by MIT Press. This book was released on 2005 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems.

Download or read book Advanced Computing Techniques for Optimization in Cloud written by H S Madhusudhan and published by CRC Press. This book was released on 2024-09-11 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt performance. This book provides information on fault-tolerant mechanisms in the cloud and provides an outlook on task scheduling techniques. Focuses on virtual machine placement and migration techniques for cloud data centers Presents the role of machine learning and metaheuristic approaches for optimisation in cloud computing services Includes application of placement techniques for quality of service, performance, and reliability improvement Explores data center resource management, load balancing and orchestration using machine learning techniques Analyses dynamic and scalable resource scheduling with a focus on resource management The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology.

Download or read book Database Internals written by Alex Petrov and published by O'Reilly Media. This book was released on 2019-09-13 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Download or read book Making Sense of NoSQL written by Ann Kelly and published by Simon and Schuster. This book was released on 2013-09-02 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Making Sense of NoSQL clearly and concisely explains the concepts, features, benefits, potential, and limitations of NoSQL technologies. Using examples and use cases, illustrations, and plain, jargon-free writing, this guide shows how you can effectively assemble a NoSQL solution to replace or augment the traditional RDBMS you have now. About this Book If you want to understand and perhaps start using the new data storage and analysis technologies that go beyond the SQL database model, this book is for you. Written in plain language suitable for technical managers and developers, and using many examples, use cases, and illustrations, this book explains the concepts, features, benefits, potential, and limitations of NoSQL. Making Sense of NoSQL starts by comparing familiar database concepts to the new NoSQL patterns that augment or replace them. Then, you'll explore case studies on big data, search, reliability, and business agility that apply these new patterns to today's business problems. You'll see how NoSQL systems can leverage the resources of modern cloud computing and multiple-CPU data centers. The final chaptersshow you how to choose the right NoSQL technologies for your own needs. Managers and developers will welcome this lucid overview of the potential and capabilities of NoSQL technologies. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside NoSQL data architecture patterns NoSQL for big data Search, high availability, and security Choosing an architecture About the Authors Dan McCreary and Ann Kelly lead an independent training and consultancy firm focused on NoSQL solutions and are cofounders of the NoSQL Now! Conference. Table of Contents PART 1 INTRODUCTION NoSQL: It's about making intelligent choices NoSQL concepts PART 2 DATABASE PATTERNS Foundational data architecture patterns NoSQL data architecture patterns Native XML databases PART 3 NOSQL SOLUTIONS Using NoSQL to manage big data Finding information with NoSQL search Building high-availability solutions with NoSQL Increasing agility with NoSQL PART 4 ADVANCED TOPICS NoSQL and functional programming Security: protecting data in your NoSQL systems Selecting the right NoSQL solution

Download or read book DevOps for Databases written by David Jambor and published by Packt Publishing Ltd. This book was released on 2023-12-29 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practices Key Features Implement core operational capabilities via automated pipelines, including testing and rollbacks Create infrastructure, deploy software, test execution, and monitor operations using the as-code strategy Automate common implementation patterns for databases with declarative orchestration frameworks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps. You’ll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You’ll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code. By the end of this book, you’ll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently.What you will learn Apply DevOps best practices to data-persistent technologies Get to grips with architectural-level design and implementation Explore the modern data journey and data modeling with database technology Master the operation of large-scale systems with zero-touch automation Achieve speed, resilience, security, and operability at different scales Design DevOps teams with end-to-end ownership models Who this book is for This book is for newcomers as well as seasoned SREs, DevOps engineers, and system engineers who are interested in large-scale systems with a heavy focus on data-persistent technologies. Database administrators looking to level up in the world of DevOps will also find this book helpful. Experience with cloud Infrastructure, basic development, and operations will help you get the most out of this book.

Download or read book Data Engineering for AI ML Pipelines written by Venkata Karthik Penikalapati and published by BPB Publications. This book was released on 2024-10-18 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Data engineering is the art of building and managing data pipelines that enable efficient data flow for AI/ML projects. This book serves as a comprehensive guide to data engineering for AI/ML systems, equipping you with the knowledge and skills to create robust and scalable data infrastructure. This book covers everything from foundational concepts to advanced techniques. It begins by introducing the role of data engineering in AI/ML, followed by exploring the lifecycle of data, from data generation and collection to storage and management. Readers will learn how to design robust data pipelines, transform data, and deploy AI/ML models effectively for real-world applications. The book also explains security, privacy, and compliance, ensuring responsible data management. Finally, it explores future trends, including automation, real-time data processing, and advanced architectures, providing a forward-looking perspective on the evolution of data engineering. By the end of this book, you will have a deep understanding of the principles and practices of data engineering for AI/ML. You will be able to design and implement efficient data pipelines, select appropriate technologies, ensure data quality and security, and leverage data for building successful AI/ML models. KEY FEATURES ● Comprehensive guide to building scalable AI/ML data engineering pipelines. ● Practical insights into data collection, storage, processing, and analysis. ● Emphasis on data security, privacy, and emerging trends in AI/ML. WHAT YOU WILL LEARN ● Architect scalable data solutions for AI/ML-driven applications. ● Design and implement efficient data pipelines for machine learning. ● Ensure data security and privacy in AI/ML systems. ● Leverage emerging technologies in data engineering for AI/ML. ● Optimize data transformation processes for enhanced model performance. WHO THIS BOOK IS FOR This book is ideal for software engineers, ML practitioners, IT professionals, and students wanting to master data pipelines for AI/ML. It is also valuable for developers and system architects aiming to expand their knowledge of data-driven technologies. TABLE OF CONTENTS 1. Introduction to Data Engineering for AI/ML 2. Lifecycle of AI/ML Data Engineering 3. Architecting Data Solutions for AI/ML 4. Technology Selection in AI/ML Data Engineering 5. Data Generation and Collection for AI/ML 6. Data Storage and Management in AI/ML 7. Data Ingestion and Preparation for ML 8. Transforming and Processing Data for AI/ML 9. Model Deployment and Data Serving 10. Security and Privacy in AI/ML Data Engineering 11. Emerging Trends and Future Direction

Download or read book 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational CISIS 2021 and ICEUTE 2021 written by Juan José Gude Prego and published by Springer Nature. This book was released on 2021-09-21 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of Advances in Intelligent and Soft Computing contains accepted papers presented at CISIS 2021 and ICEUTE 2021, all conferences held in the beautiful and historic city of Bilbao (Spain), in September 2021. The aim of the 14th CISIS 20121 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of computational intelligence, information security, and data mining. The need for intelligent, flexible behavior by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2021 International Program Committee selected 23 papers which are published in these conference proceedings achieving an acceptance rate of 40%. In this relevant edition, a special emphasis was put on the organization of special sessions. One special session is organized related to relevant topics as follows: building trust in ecosystems and ecosystem components. In the case of 12th ICEUTE 2021, the International Program Committee selected 17 papers, which are published in these conference proceedings. One special session is organized related to relevant topics as follows: sustainable personal goals: engaging students in their learning process. The selection of papers is extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the program committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the CISIS and ICEUTE conferences would not exist without their help.

Download or read book Smart Grids written by A B M Shawkat Ali and published by Springer Science & Business Media. This book was released on 2013-07-16 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Smart Grid delivers renewable energy as a main source of electricity from producers to consumers using two-way monitoring through Smart Meter technology that can remotely control consumer electricity use. This can help to storage excess energy; reduce costs, increase reliability and transparency, and make processes more efficiently. Smart Grids: Opportunities, Developments, and Trends discusses advances in Smart Grid in today’s dynamic and rapid growing global economical and technological environments. Current development in the field are systematically explored with an introduction, detailed discussion and an experimental demonstration. Each chapter also includes the future scope and ongoing research for each topic. Smart Grids: Opportunities, Developments, and Trends provides up to date knowledge, research results, and innovations in Smart Grids spanning design, implementation, analysis and evaluation of Smart Grid solutions to the challenging problems in all areas of power industry. Providing a solid foundation for graduate and postgraduate students, this thorough approach also makes Smart Grids: Opportunities, Developments, and Trends a useful resource and hand book for researchers and practitioners in Smart Grid research. It can also act as a guide to Smart Grids for industry professionals and engineers from different fields working with Smart Grids.

Download or read book The COMPLETE SYSTEM DESIGN for FRONTEND DEVELOPERS written by Srikant Sahoo and published by Srikant Sahoo. This book was released on 2023-08-20 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: EARN more money by cracking the frontend junior & senior interviews. Build scalable and performant frontends using the concepts. Below are the topics covered in this book - 570+ Interview Questions & 55+ Chapters 1. Client-server architecture and communication protocols (e.g., HTTP, WebSocket) 2. Scalability and load balancing in frontend systems 3. Content Delivery Networks (CDNs) for efficient content distribution 4. Caching mechanisms and strategies (e.g., browser caching, CDN caching) 5. Single-page applications (SPAs) vs. multi-page applications (MPAs) 6. Frontend performance optimization techniques (e.g., minification, bundling) 7. State management in frontend applications (e.g., Redux, MobX) 8. API design and integration with frontend applications 9. Authentication and authorization mechanisms in frontend systems (e.g., JWT, OAuth) 10. Web security best practices (e.g., XSS prevention, CSRF protection) 11. Error handling and logging strategies in frontend systems 12. Real-time data synchronization and messaging protocols (e.g., WebSockets, MQTT) 13. Micro frontend architecture and modularization of frontend code 14. Cross-origin resource sharing (CORS) and security considerations 15. Progressive Web Apps (PWA) and offline capabilities 16. Responsive design and adaptive layouts for different devices 17. Internationalization and localization in frontend systems 18. Performance monitoring and profiling tools for frontend applications 19. Server-side rendering (SSR) vs. client-side rendering (CSR) 20. SEO considerations in frontend systems (e.g., meta tags, structured data) 21. Web accessibility guidelines and practices in frontend design 22. Application state synchronization in distributed systems 23. Asynchronous programming and event-driven architectures 24. Design patterns and architectural principles in frontend systems (e.g., MVC, MVVM) 25. Integration with third-party APIs and services 26. Frontend build and deployment strategies (e.g., continuous integration, CI/CD) 27. Data fetching strategies and caching in frontend applications 28. Error handling and fault tolerance in distributed systems 29. Browser storage mechanisms (e.g., localStorage, IndexedDB) 30. Version control and code collaboration in frontend development 31. Performance testing and benchmarking of frontend systems 32. Event-driven architecture and event sourcing in frontend systems 33. API rate limiting and throttling strategies 34. Cross-platform development considerations (e.g., mobile, desktop) 35. Authentication flows and user session management in frontend applications 36. Real-time analytics and monitoring in frontend systems 37. Component-based architecture and reusable UI components 38. Data synchronization and conflict resolution in distributed systems 39. Data validation and sanitization in frontend forms 40. A/B testing and feature flagging techniques 41. Data encryption and secure transmission in frontend systems 42. Service-oriented architecture (SOA) and frontend integration with microservices 43. Continuous monitoring and observability in frontend applications 44. Progressive enhancement and graceful degradation strategies 45. GraphQL and its usage in frontend systems 46. API versioning and backward compatibility considerations 47. Serverless architectures and frontend integration with cloud services 48. Performance optimization techniques for mobile devices 49. Real-time collaboration and synchronization in collaborative applications 50. Multi-browser testing and cross-browser compatibility 51. Content management systems (CMS) and frontend integration 52. User experience (UX) design principles in frontend systems 53. Database design and integration with frontend systems 54. Containerization and orchestration of frontend applications 55. Containerization and orchestration of frontend applications 56. Websockets and server-sent events for real-time communication 57. Error monitoring and exception handling in frontend systems 58. API gateway and API management for frontend systems 59. Sample Case study - Netflix 60. Sample Case study - Twitter 61. Sample Case study - Airbnb 62. Sample Case study - Spotify 63. Sample Case study - LinkedIn Sounds intriguing? Buy it now!