Databasedesign og databaseteori

The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh. Building an Event-Driven Data Mesh provides: Practical tips for iteratively building your own event-driven data mesh, including hurdles you'll experience, possible solutions, and how to obtain real value as soon as possible Solutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architectures A clear understanding of how events relate to systems and other events in the same stream and across streams A realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data products Best practices for handling events at scale, privacy, and regulatory compliance Advice on asynchronous communication and handling eventual consistency

Without a moment's pause, we share our most intimate thoughts with trillion-dollar tech companies. Their algorithms categorize us and jump to conclusions about who we are. They even shape our everyday thoughts and actions - from who we date to how we vote. But this is just the latest front in an age-old struggle.Part history and part manifesto, Freedom to Think charts the history and importance of our most basic human right: freedom of thought. From Galileo to Nudge Theory to Alexa, human rights lawyer Susie Alegre explores how the powerful have always sought to get inside our heads, influence how we think and shape what we buy. Providing a bold new framework to understand how our agency is being gradually undermined, Freedom to Think is a ground-breaking and vital charter for taking back our humanity and safeguarding our reason.

Researchers from the Homeland Security Operational Analysis Center have developed a methodology for understanding and prioritizing cybersecurity risk in election infrastructure to assist state and local election officials.

This open access book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Trinity College Dublin, DARIAH-EU and the European Commission.

This issues contents includes: Editor's Letter>Modeling NFT Investor Behavior Using Belief Dissensus>Modelling & Simulation of a Rivet Shaving Process for the Protection of the Aerospace Industry Against Cyber-threats Martin Praddaude, Nicolas Hogrel, Matthieu Gay, Ulrike Baumann, and Adrien Bécue Complex Simulation Workflows in Containerized High-Performance Environment>Augmented Reality Implementation for Comfortable Adaptation of Disabled Personnel to the Production Workplace>Designing an Emergency Information System for an Emergency Information System for Catastrophic Natural Situations>A Return to "A Complexity Context to Classroom Interactions and Climate Impact on Achievement"Joseph Cochran and Liz Johnson

This Book Includes: Machine Learning: A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for BeginnersMachine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine LearningMachine Learning: A Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine LearningMachine Learning: A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and TechniquesBuy the Paperback version of this book, and get the Kindle eBOOK version for FREEGraphics in this book are printed in black and white.Machines are created to make work easier for us, but so many have seen machines as a major barrier due to their supposed technicality of machines.Are you a novice trying to understand the basics of machine?Do you have prior knowledge and you wish to acquire further understanding about tensorFlow, scikit- learn, algorithms, decision trees, random forest, deep learning or neural networks?Are you even a pro and you wish to add to your knowledge?This book is all you need. This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all encompassing with accurate and concise principles of machine learning. This quintessential book comprises modules that cut across various level of knowledge in machine learning. It is an exquisite material that grants you practical knowledge in machines. It weighs more than mere words, it is gold in manuscript.You might not know how much you know or how much you need to know until you avail yourself with essential materials. This book is not one of all you need to understand machine learning; it is all you need to uncover the full scope of learning machines.Technicality is very relative when you have the right knowledge. Stay ahead; make a choice that will last. Would You Like To Know More?Scroll to the top of the page and select the buy now button.

This anthology sheds new light on cosmopolitanism and culture in the contemporary world. Drawing on postcolonial, ethnic, and critical race studies as well as recent literary and critical theory, it demonstrates that new cosmopolitan thinking can embrace an awareness of ethnic and local differences. It disputes the utopianism of colorblind universalism and argues for the persistence of "race" and racialized thinking in lived experience. The essays collected in this volume valorize minoritarian perspectives and urge readers to rethink cosmopolitanism from the perspective of the underprivileged and marginalized and highlight the role of culture in mobilizing social empathy and solidarity with the world's precariat. The contributors, who come from over a dozen different countries and from diverse socio-cultural backgrounds, constitute a vibrant cosmopolitan community in itself.

Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activationlinking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations.Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them.You'll learn:How Google Cloud integrates with GA4The potential use cases that GA4 integrations can enableSkills and resources needed to create GA4 integrationsHow much GA4 data capture is necessary to enable use casesThe process of designing dataflows from strategy though data storage, modeling, and activation

Learn how and when to use the right data structures in any situation, strengthening your computational thinking, problem-solving, and programming skills in the process.This accessible and entertaining book provides an in-depth introduction to computational thinking through the lens of data structures — a critical component in any programming endeavor. You’ll learn how to work with more than 15 key data structures, from stacks, queues, and caches to bloom filters, skip lists, and graphs. You’ll also master linked lists by virtually standing in line at a cafe, hash tables by cataloging the history of the summer Olympics, and Quadtrees by neatly organizing your kitchen cabinets, all while becoming familiar with basic computer science concepts, like recursion and running time analysis.

The software package Rhinoceros 3D, or "Rhino," is popular for industrial, product, and graphic design and architecture. Grasshopper is a visual scripting platform for Rhino. Through a series of examples and tutorials, readers will learn how to build complex objects by combining simple components.

In Silico Chemistry and Biology: Current and Future Prospects provides a compact overview on recent advances in this highly dynamic branch of chemistry. Various methods of protein modelling and computer-assisted drug design are presented, including fragment- and ligand-based approaches. Many successful practical applications of these techniques are demonstrated. The authors also look to the future and describe the main challenges of the field.