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Discover critical considerations and best practices for improving database performance based on what has worked, and failed, across thousands of teams and use cases in the field. This open access book provides practical guidance for understanding the database-related opportunities, trade-offs, and traps you might encounter while trying to optimize data-intensive applications for high throughput and low latency. Whether you are building a new system from the ground up or trying to optimize an existing use case for increased demand, this book covers the essentials.The book begins with a look at the many factors impacting database performance at the extreme scale that today's game changing applications face-or at least hope to achieve. You'll gain insight into the performance impact of both technical and business requirements, and how those should influence your decisions around database infrastructure and topology. The authors share an inside perspective on often-overlooked engineering details that could be constraining-or helping-your team's database performance. The book also covers benchmarking and monitoring practices by which to measure and validate the outcomes from the decisions that you make.The ultimate goal of the book is to help you discover new ways to optimize database performance for your team's specific use cases, requirements, and expectations.What You Will LearnUnderstand often overlooked factors that impact database performance at scaleRecognize data-related performance and scalability challenges associated with your project Select a database architecture that's suited to your workloads, use cases, and requirementsAvoid common mistakes that could impede your long-term agility and growthJumpstart teamwide adoption of best practices for optimizing database performance at scaleWho ThisBook Is ForIndividuals and teams looking to optimize distributed database performance for an existing project or to begin a new performance-sensitive project with a solid and scalable foundation. This will likely include software architects, database architects, and senior software engineers who are either experiencing or anticipating pain related to database latency and/or throughput.

This book elaborates on various attacks on Social Networks with classifications, countermeasures and consequences. It also highlights some key contributions related to current defensive approaches of various attacks on OSNs.

Nombreux sont ceux qui ont tenté d'écrire, en toutes langues, qui une histoire de la Chine, qui un abrégé de celle du Japon. Tel s'est intéressé à la Turquie ; tel autre à l'Iran ; tel autre encore à l'Inde. Mais très rares les écrivains qui ont eu la témérité ou l'audace de brosser, de la préhistoire à l'heure actuelle, le raccourci d'un continent. Ici apparaît l'originalité du regretté René Grousset, dont l'ouvrage posthume, La Face de l'Asie, est « l'admirable relation d'un voyage dans le temps et l'espace asiatique ». Le commentateur en ces termes du manuscrit inachevé ¿ M. George Deniker ¿ a dû écrire deux chapitres (plutôt deux parties) : « la Chine, terre de culture et objet de convoitises » ; « le Japon, le Pacifique et l'Extrême- Orient ». Ce qui représente exactement la moitié du livre dont Grousset laissait les feuillets consacrés au « génie sémitique » ; aux « valeurs turques » ; à « l'Iran et son rôle historique » ; à « l'Inde de toujours et d'aujourd'hui ». Lourde tâche que celle de M. Deniker, mais qu'il a assumée avec honneur. Il est vrai qu'il y était préparé par un long séjour à Pékin en qualité d'interprète à la Légation de France.Ce qui frappe dans la quête de Grousset, c'est sa curiosité énorme, servie par un esprit clair ; sa facilité à reconstituer des ensembles, à découvrir, entre les peuples, interférences, incidences, correspondances ; son libéralisme ; son idéalisme ; son goût de la grandeur ; sa tristesse lucide, avec un arrière-goût d'Ecclésiaste. Les lecteurs s'arrêteront plus volontiers aux considérations actuelles. En veulent-ils quelques exemples ? Révolte récente de l'Iran contre l'Angleterre : « Dans sa révolte contre Y Anglo-Iranian, la Perse bénéficiait de nouveau de sa situation d'empire du milieu. » Où l'on voit restituer à l'Iran le rôle qu'il a joué souvent, de la Syrie au Pamir. Grousset se plaît à découvrir les articulations du corps asiatique dans l'espace et la durée ; à décrire l'apparition, la disparition et la surrection des Empires. Il nous verse, dans ce survol des civilisations, un breuvage d'Asie qui grise ou donne un peu le vertige. Sa tristesse nous point : « N'est-ce pas une des lois de l'histoire que l'épanouissement littéraire et artistique d'un pays soit loin de nécessairement coïncider avec les périodes de stabilité et de grandeur politiques ? » Cette consolation, si c'en est une, offerte aux peuples en régression est corroborée par une condamnation : « Quand le destin a inutilement prodigué à une société, en même temps que toutes les faveurs, tous les avertissements, et qu'elle s'obstine dans le suicide, sa destruction n'est-elle pas une satisfaction pour l'esprit ? »Comblés d'événements, de rapprochements et de considérations, essayons de tirer la leçon du livre ; et celle d'un mot qui figure dans la phrase précédente : l'histoire est un avertissement.

Are you ready to embark on a thrilling journey into the world of data science, where raw data is transformed into invaluable insights? Dive headfirst into "Data Science Concepts and Practice," a groundbreaking book that demystifies the complex world of data science and equips you with the skills you need to succeed in this data-driven era. ¿¿¿¿ Discover the Secrets of Data Analysis: From data wrangling to visualization, you'll master the art of extracting actionable knowledge from vast datasets. ¿¿¿¿ Embrace Machine Learning: Unleash the potential of artificial intelligence as you delve into algorithms, predictive modeling, and the endless possibilities of AI. ¿¿¿¿ Harness Big Data: Learn to navigate the sea of information with ease, turning big data into a powerful asset for your business or projects. ¿¿¿¿ Practical Applications: Real-world examples and hands-on exercises ensure you not only understand the concepts but can apply them effectively. ¿¿¿¿ Uncover Insights: Dive deep into data mining techniques to unearth hidden patterns and trends that drive smart decision-making. ¿¿¿¿ Join the Data Revolution: Position yourself as a sought-after data scientist with the knowledge and expertise needed in today's competitive job market. Whether you're a beginner looking to enter the world of data science or a seasoned professional seeking to expand your skillset, this comprehensive guide is your roadmap to success. Packed with easy-to-follow explanations, captivating examples, and expert tips, "Data Science Concepts and Practice" is your essential companion on the path to becoming a data science wizard. Don't miss out on this opportunity to transform your career and elevate your understanding of data science. Join the ranks of data pioneers who are shaping the future today. Your journey to data enlightenment starts here!

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This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you'll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. What You Will LearnProgram in Kotlin using a high-performance numerical libraryLearn the mathematics necessary for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionsBuild solvers for industrial optimization problemsPerform data analysis using basic and advanced statisticsWho This Book Is ForProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.

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This open access book, based on static indicators and dynamic big data from local electric vehicles, is China's first new-energy vehicle(NEV) research report. It delves into the main annual technological progress of NEVs, the vehicle operating characteristics, and anticipates the NEV industry trend the real-time big data collected by China's National Monitoring and Management Platform.The content will familiarize readers with the operation characteristics and practical application of China's NEVs industry and popularize the concept of automobile electrification. Besides, this book will also make an objective evaluation of the current situation and technological improvement of China's NEV industry, presenting sensible suggestions for the development of NEVs industry.This book serves as an important reference for the decision-making of government departments and strategic decisions of automotive companies. It is also suitable for researchers, college staff, technical staff of automobile and spare parts enterprises.

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Privacy protection in big data analytics refers to the process of safeguarding the privacy and confidentiality of sensitive information in large datasets, while still allowing for the extraction of valuable insights and patterns from the data. Big data analytics involves the use of advanced algorithms and technologies to analyze vast amounts of data, often containing personal or sensitive information, to gain insights and make informed decisions.However, as more and more data is collected and analyzed, there is an increasing risk of privacy breaches and data misuse. To address this challenge, privacy protection techniques such as data anonymization, encryption, and access controls are used to ensure that sensitive information is protected from unauthorized access or disclosure.Data anonymization involves the removal or modification of personally identifiable information (PII) from the dataset, while still retaining its usefulness for analysis. Encryption involves encoding the data in a way that can only be deciphered with a key, ensuring that only authorized users can access it. Access controls restrict access to the data to only those who need it for legitimate purposes.Privacy protection in big data analytics is crucial for maintaining trust between data owners and users, protecting individual privacy rights, and complying with regulatory requirements

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Overcome the challenges, appreciate the varieties, and apply the process of data integration. Learn all about data integration and become a data integration hero instead of following the masses and running in the opposite direction at the mere mention of the word "integration". Understand why organizations avoid data integration and often wind up with spider web environments containing siloed applications instead of an enterprise database which excites analysts and data scientists. Distinguish the different types of integration: database, attribute, key, index, encoding, measurement, format, definition, KPI, calculations, summarization, selection criteria, data exclusion, lineage, and timing. Apply identification, equivocation, and physical conversion levels of integration for both structured and textual data. Leverage deidentification, proximity analysis, alternate spelling, stop word resolution, homographic resolution, stemming, taxonomical resolution, inline contextualization, classification, and acronym resolution. Learn how to combine structured and textual data in the context of three levels of interaction. Follow the steps of scope, model, and map in integrating structured data. Follow the steps of scope, connect taxonomies, ingest raw text, and determine analytical processes in integrating textual data. Apply integration best practices, including identifying integration roles, developing a reusable data integration process, and documenting the integration benefits. Compare taxonomies with data models. Know how data integration helps data science. To reinforce all of the concepts within the book, we include a detailed case study on data integration.

This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.

This report identifies and examines six key technologies that are transforming fundamental financial market infrastructure and will serve as a springboard for the technological advancement of financial market infrastructure in the region.This report ascertains the most current status of technology adoption by Cross-Border Settlement Infrastructure Forum member organizations. They include central securities depositories and central banks in the Association of Southeast Asian Nations (ASEAN) plus the People's Republic of China, Japan, and the Republic of Korea (collectively known as ASEAN+3) region.

Chapter 1. How covid changed our daily geographies.- Chapter 2. Geography of the pandemic.- Chapter 3. Defining first- and second-order impacts through maps.- Chapter 4. Quantitative geographical approaches in COVID-19 research: A review on first- and second-order impacts.- Chapter 5. COVID-19's impact on geospatial data: ethics and values.- Chapter 6. The City and the Pandemic - the Cities' COVID Mitigation Mapping (C2M2) Program .- Chapter 7. Improving access to health services in Mongolia via open data during and beyond the COVID-19 pandemic.- Chapter 8. The inequities in the U.S. during the COVID-19 pandemic.- Chapter 9. The Latine community and COVID-19: nuances, experiences, and data.- Chapter 10. An overview of the impact of COVID-19 in Nepal's international tourism industry.- Chapter 11. Data and dashboards for measuring the social impact of COVID-19 in African cities.- Chapter 12. COVID-19 and domestic violence complaints in Quito, Ecuador: temporal and spatial patterns anddrivers.- Chapter 13. Mapping COVID-19: Should it be based on the incidence rate? A case study in China.- Chapter 14. Regional patterns of the pandemic: a view from Aotearoa New Zealand.- Chapter 15. Aboriginal and Torres Strait Islander peoples & the COVID-19 pandemic: a spatial and place-based analysis.- Chapter 16. Impacts of COVID-19 pandemic lockdown on the livelihoods of male commercial Boda-Boda motorists in Uganda.- Chapter 17. Geospatial techniques for mapping the spatial trajectories of COVID-19.- Chapter 18. Digital geographies and digital surveillance technologies: power and space in the Italian society under control for public health.- Chapter 19. Resilience amid uncertainty: COVID-19 pandemic, the urban informal sector, and livelihoods in sub-Saharan Africa.- Chapter 20. Freshwater Resources and COVID-19.- Chapter 21. Preventing pandemics: earth observations for One Health.- Chapter 22. Enabling Accelerated Research in Times of Need: The National Science Foundation's Response to COVID-19 in 2020.- Chapter 23. Conclusion - The consequences of COVID-19 - What's next?.

Are you curious about the buzz surrounding blockchain technology but don't know where to start? This book is the perfect introduction for anyone looking to understand the basics of blockchain and its impact on the world of finance and technology. This comprehensive guide covers everything from the history of blockchain and its evolution, to the core concepts and real-world applications of the technology. With clear explanations and easy-to-understand examples, you'll quickly gain a deep understanding of this innovative and disruptive technology. Whether you're a student, a business professional, or simply someone interested in staying ahead of the technological curve, this book provides the foundation you need to grasp the basics of blockchain. ¿¿With its clear and accessible style, it's the perfect resource for anyone looking to learn about this rapidly growing field. Don't wait any longer to learn about the future of finance and technology. Get your copy of "Blockchain for Beginners" today and take the first step towards understanding this revolutionary technology!