Weitere Bücher, die Sie mögen werden

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  Nineteen Reservoirs - On Their...

  Luc Sante

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  Without the nineteen upstate reservoirs that supply its water, New York City as we know it would not exist today. 
   
   
   
  From 1907 to 1967, a network of reservoirs and aqueducts was built across more than one million acres in upstate New York, including Greene, Delaware, Sullivan, and Ulster Counties. This feat of engineering served to meet New York City's ever-increasing need for water, sustaining its inhabitants and cementing it as a center of industry. West of the Hudson, it meant that twenty-six villages, with their farms, forest lands, orchards, and quarries, were bought for a fraction of their value, demolished, and submerged, profoundly altering ecosystems in ways we will never fully appreciate. 
   
   
   
  This paradox of victory and loss is at the heart of Nineteen Reservoirs, Lucy Sante's meticulous account of how New York City secured its seemingly limitless fresh water supply, and why it cannot be taken for granted. In inimitable form, Sante plumbs the historical record to surface forgotten archives and images, bringing lost places back to life on the page. Her immaculately calibrated sensitivity honors both perspectives on New York City's reservoir system and helps us understand the full import of its creation.

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  Trafficking Data - How China is...

  Aynne Kokas

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  From TikTok and Fortnite to Grindr and Facebook, Aynne Kokas delivers an urgent look into the technology firms that gather our data, and how the Chinese government is capitalizing on this data flow for political gain. 
   
   
   
  In Trafficking Data, Aynne Kokas looks at how technology firms in the two largest economies in the world, the United States and China, have exploited government policy (and the lack thereof) to gather information on citizens, putting US national security at risk. Kokas argues that US government leadership failures, Silicon Valley's disruption fetish, and Wall Street's addiction to growth have fueled China's technological goldrush. In turn, American complacency yields an unprecedented opportunity for Chinese firms to gather data in the United States and quietly send it back to China, and by extension, to the Chinese government. Drawing on years of fieldwork in the US and China and a large trove of corporate and policy documents, Trafficking Data explains how China is fast becoming the global leader in internet governance and policy, and thus of the data that defines our public and private lives.

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  Glacial - The Inside Story of...

  Chelsea Henderson

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  From mavericks to party standard-bearers, United States Senators, members of the House of Representatives, and presidential candidates have campaigned for four decades espousing their intentions to address the impacts of climate change. 
   
   
   
  Glacial: The Inside Story of Climate Politics is the first Inside-the-Beltway account to lay bare the machinations of what went wrong in Washington—how and why our leaders failed to act on climate change as mounting scientific evidence underscored the urgency to do so. Glacial tells a story of behind-the-scenes infighting and power struggles that blocked or derailed federal legislative progress on climate change, even in times of bipartisanship and with polls showing most Americans favored action. 
   
   
   
  The good news today is that public opinion is at its highest level of support for climate action, from corporate boardrooms embracing sustainability for business reasons to movements led by passionate younger generations who can't afford to stand mute because it is they who will inherit the worst environmental catastrophes. If the missed opportunities in Washington are instructive, the path to doing so is clear. Our elected officials must use their offices not solely for the power and prestige it bestows upon them personally, but for the public good—and they must do so while there is still time.

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  CompTIA A+ & Security+...

  Josh Russell

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  This ultimate combo includes: 
  ✅ Complete Coverage of CompTIA A+ Exams 220-1101 & 220-1102 ✅ Full Masterclass for CompTIA Security+ SY0-701 ✅ Pro-Level Practice Tests with Detailed Explanations ✅ Hands-On Concepts, Real-World Scenarios & Career Tips 
  Written by certified tech experts and instructional designers, this guide makes complex IT concepts fun, approachable, and crystal clear. You'll go from “What’s an IP address?” to “Hire me now” without the overwhelm. 
  🧠 What's Inside:All-in-One Learning System: Tailored for busy learners with streamlined content that focuses on what actually shows up on the exams.Up-to-Date with 2025 Exam Objectives: No outdated fluff—just what you need, nothing you don’t.Memory Boosters & Exam Hacks: Learn faster with clever analogies, tech humor, and bite-sized breakdowns.Career-Ready Skills: Includes practical security skills, troubleshooting tactics, and resume-ready vocabulary to land your dream role. 
  💼 Perfect For:Career changers jumping into techStudents preparing for job-ready certificationsIT support, helpdesk, or cybersecurity hopefulsAnyone tired of boring, bloated textbooks 
  📈 Start Smart, Study Smarter, Win Big 
  Don’t just pass—own your certifications and stand out in the tech crowd. With this 2-in-1 masterclass, you’re not just prepping for exams... you’re launching your future. 
  Get your copy now and let your IT journey begin.

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  Big Data Analytics and Data...

  Chuck Sherman

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  As the amount of data generated and collected continues to grow exponentially, the field of Big Data Analytics and Data Science has become increasingly important in various industries. This book provides a comprehensive overview of the current and emerging trends in the field, with a focus on the future of Big Data Analytics and Data Science. 
  Starting with an introduction to the basics of Big Data Analytics and Data Science, the book then delves into the latest technologies and tools being used to manage, analyze, and interpret massive amounts of data. It also explores the ethical and privacy concerns that arise from the use of Big Data Analytics and Data Science. 
  The book then examines the applications of Big Data Analytics and Data Science in various industries, including healthcare, finance, and e-commerce, among others. The readers will get a deep understanding of how these industries are utilizing Big Data Analytics and Data Science to make better decisions, optimize operations, and improve customer experiences. 
  Finally, the book discusses the emerging trends in Big Data Analytics and Data Science, including the rise of artificial intelligence and machine learning, the increasing use of edge computing, and the potential of quantum computing in handling Big Data. It also explores the challenges and opportunities that these trends present and how they are shaping the future of Big Data Analytics and Data Science. 
  This book is a valuable resource for professionals, researchers, and students who want to stay up-to-date with the latest trends and technologies in Big Data Analytics and Data Science. It provides insights into the emerging technologies and trends that will shape the future of the field, and how they will impact industries and society as a whole. 
   

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  Data Generation - Unlocking the...

  Sam Miley

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  In the age of artificial intelligence, machine learning, and data-driven innovation, the quality and quantity of data have become critical to success. Yet real-world data is often incomplete, biased, sensitive, or scarce. Data Generation explores how synthetic, real, and simulated data can be strategically created and used to overcome these limitations—fueling smarter systems, scalable solutions, and more ethical outcomes. 
  This comprehensive guide dives into the methods, tools, and frameworks behind modern data generation, from generating high-quality synthetic datasets for machine learning to building simulation environments that mirror complex real-world systems. You’ll discover how to augment datasets, preserve privacy, test edge cases, and accelerate innovation in industries ranging from autonomous vehicles and healthcare to finance and cybersecurity. 
  Inside this book, you’ll learn: 
  •	The principles and trade-offs of real, synthetic, and simulated data 
  •	How to generate synthetic data using AI models such as GANs and variational autoencoders 
  •	Techniques for building digital twins and simulation platforms for training and testing 
  •	Strategies for data augmentation, bias reduction, and privacy protection 
  •	Real-world applications and case studies across sectors 
  •	Future directions in data generation for responsible AI and scalable system design 
  This book equips you with the tools and insights to unlock new possibilities with generated data—without compromising quality, ethics, or performance.

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