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  Data Engineering Guide for...

  Alan Murray

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  In today’s data-driven world, the role of data engineering has become indispensable to organizations across industries. Data Engineering: Building the Backbone of Modern Data Infrastructure is a comprehensive guide that explores the critical concepts, tools, and techniques that data engineers use to design and manage efficient, scalable, and reliable data systems. 
  From foundational principles to advanced architectures, this book takes readers through every stage of the data engineering process. Learn how to build robust data pipelines, manage large-scale data storage solutions, implement data governance, and optimize performance for both batch and real-time data processing. Dive into modern cloud technologies, distributed systems, and the rise of data mesh and serverless data infrastructure. 
  Readers will also explore real-world case studies across industries such as e-commerce, finance, healthcare, and more, illustrating how leading companies implement cutting-edge data engineering practices. Additionally, the book looks ahead at emerging trends like AI-powered automation, MLOps, and edge computing, preparing readers for the future of data engineering. 
  This book is a must-read for mastering the skills that shape the world of data. 
   

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  Python for Data Analysis - 2 in...

  Brian Paul

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   In this book, we take you on a journey through the essential tools and techniques that Python offers for data analysis. Beginning with the fundamentals of Python programming, you'll swiftly progress to mastering the NumPy and Pandas libraries, building a solid foundation for manipulating and cleaning data. Dive into the world of Exploratory Data Analysis (EDA), learning how to visualize and interpret data patterns, and apply statistical techniques to draw meaningful conclusions.  
  As you advance, the book seamlessly transitions into the realm of machine learning, introducing Scikit-Learn for both supervised and unsupervised learning. Real-world projects and case studies bring the concepts to life, demonstrating how Python's versatility can be applied to predict trends, analyze financial data, and glean insights from social media platforms. But this book goes beyond the basics. You'll explore advanced data manipulation techniques with Pandas, delve into big data with Apache Spark, and gain expertise in web scraping and API integration for collecting diverse data sources. 
  Ethical considerations are not overlooked, emphasizing responsible data handling and addressing privacy and security concerns. Best practices, tips for writing efficient code, and discussions on emerging trends ensure you stay ahead in the ever-evolving field of data analysis. "Python for Data Analysis" is not just a book; it's your companion on the journey to becoming a proficient data analyst. With a blend of theory, hands-on exercises, and real-world applications, this guide empowers you to transform raw data into actionable insights. Get ready to unlock the true potential of your data with Python as your tool of choice.  

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  Best Practices in Database...

  Lydia Johnson

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  Effective database management is a key part of any organization's success in today's data-driven world. In "Best Practices in Database Management – Structuring the Digital Realm: A Comprehensive Guide to Database Management," the author goes into great detail about the basics, methods, and new trends in database management that are needed in today's world. 
  This book starts with basic ideas like data modeling, normalization, and schema design and then goes on to teach you everything you need to know to be a database manager. More advanced topics are then talked about, like query optimization, performance tuning, and how to use cloud-based and NoSQL solutions. For each chapter, theoretical insights are combined with real-world examples to make sure that readers gain both knowledge and skills that can be used. 
  One of the most important ideas in this book is how to keep a healthy balance between technological progress and moral responsibility. This document talks about different methods that can be used to make sure that data is safe, that rules are followed, and that trust is built by using strong data management practices. Because it focuses on scalability and adaptability, the book gives readers the information and skills they need to deal with the problems that come up with big data, distributed systems, and real-time analytics.

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  Year of No Garbage

  Eve O. Schaub

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  In this book, Eve O. Schaub, humorist and stunt memoirist extraordinaire, tackles her most difficult challenge to date: garbage. Convincing her husband and two daughters to go along with her, Schaub attempts the seemingly impossible: living in the modern world without creating any trash at all—for an entire year and, as it turns out, during a pandemic. In the process, Schaub learns some startling things: that modern recycling is broken and single stream recycling is a lie, that flushable wipes aren’t flushable and compostables aren’t compostable, and that plastic drives climate change, fosters racism, and is poisoning the environment and our bodies at alarming rates, as microplastics are being found everywhere, from the top of Mount Everest to the placenta of unborn babies. If you’ve ever thought twice about that plastic straw in your drink, you’re gonna wanna read this book.

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  Invisible Illness - A History...

  Emily Mendenhall

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  A moving cultural history of disability—and a powerful call to action to change how our medical system and society supports those with complex chronic conditions 
    
  From lupus to Lyme, invisible illness is often dismissed by everyone but the sufferers. Why does the medical establishment continually insist that, when symptoms are hard to explain, they are probably just in your head? 
    
  Inspired by her work with long COVID patients, medical anthropologist Emily Mendenhall traces the story of complex chronic conditions to show why both research and practice fail so many. Mendenhall points out disconnects between the reality of chronic disease—which typically involves multiple intersecting problems resulting in unique, individualized illness—and the assumptions of medical providers, who behave as though chronic diseases have uniform effects for everyone. And while invisible illnesses have historically been associated with white middle-class women, being believed that you are sick is even more difficult for patients whose social identities and lived experiences may not align with dominant medical thought. Weaving together cultural history with intimate interviews, Invisible Illness upholds the experiences of those living with complex illness to expose the failures of the American healthcare system—and how we can do better. 
    
  "This book challenges us to address discrimination in clinical care for people with complex chronic conditions like long Covid, questioning why some are believed while others aren't—a persistent disparity in US healthcare."—Oni Blackstock, primary care and HIV physician and founder of Health Justice

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  How to Cuss in Western - And...

  Michael P. Branch

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  Where nature writing meets humor—a raucous, hilarious look at life in the high desert of Nevada, from the author of Raising Wild and Rants from the Hill 
  Edward Abbey encouraged his readers to “be loyal to what you love, be true to the Earth, and fight your enemies with passion and laughter.” Here is Michael Branch’s response. Full of clear-eyed explorations of the natural world, witty cultural observations, and heart-warming family connections, How to Cuss in Western is a cranky and hilarious love letter of sorts to the western Great Basin Desert of Nevada.

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