Other books that might interest you

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  Mind Without Matter - Are Our...

  Miss Smilla, Holly von Bonin

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  Are you curious about the nature of your own thoughts? This audiobook invites you to rethink the very nature of reality, exploring captivating concepts that bridge science, philosophy, and spirituality. As you listen, you'll be drawn into a world where traditional boundaries dissolve, offering profound insights into how we perceive our existence. Don't miss out on this eye-opening experience!

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  Navigating Life with Parkinson's...

  MD Phd Sotirios Parashos, PT...

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  Navigating Life with Parkinson's Disease is a guide for anyone affected by Parkinson's, providing useful information to those with Parkinson's and their caregivers, family, and friends. This extensively revised second edition contains up-to-date information on recent research and the latest adaptive equipment available to those living with Parkinson's disease. Discussing available treatments and providing practical advice, this book emphasizes lifestyle adjustments that provide a better quality of life for patients and their loved ones. 
   
   
   
  The material is organized so that chapters can be listened to sequentially or individually. Q&A sections, thoughts from people living with Parkinson's, and Ask the Experts sections address often-overlooked topics in physician-directed disease management, such as how to talk to family and friends about one's life with Parkinson's. 
   
   
   
  Promoting a patient-centered approach, Navigating Life with Parkinson's Disease empowers patients and their families to manage their health care.

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  Cloud-Native Architectures -...

  James Ferry

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  Unlock the full potential of cloud computing with "Cloud-Native Architectures: Building Scalable, Resilient, and Agile Systems." This comprehensive guide dives deep into the principles and practices that enable organizations to design, deploy, and manage applications optimized for the cloud. Whether you're an experienced architect, a seasoned developer, or a tech enthusiast eager to learn, this book provides the insights and tools needed to build robust cloud-native systems. 
  Explore the core concepts of cloud-native architecture, including microservices, serverless computing, and containerization. Learn how to design systems that can scale effortlessly, recover from failures swiftly, and adapt to changing requirements with ease. The book covers essential topics such as continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), and monitoring and observability, ensuring you can maintain high performance and reliability in your applications. 
  "Cloud-Native Architectures" is packed with real-world examples and case studies from leading organizations that have successfully transitioned to cloud-native models. Discover how industry giants leverage cloud-native technologies to drive innovation, improve operational efficiency, and deliver superior user experiences. Each chapter includes practical exercises and hands-on projects to reinforce your learning and help you apply cloud-native principles in your own work. 
  Authored by experts in the field, this book provides a balanced mix of theoretical knowledge and practical guidance. From foundational concepts to advanced techniques, you'll gain a holistic understanding of what it takes to build and maintain cloud-native systems. Embrace the future of software development with "Cloud-Native Architectures: Building Scalable, Resilient, and Agile Systems," and transform the way you create and manage applications in the cloud. 
   

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  Big Data for Beginners - An...

  Brian Murray

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  Big Data has become a ubiquitous term in the world of technology and business, but many people are still unsure about what it means and how it can be used effectively. In "Big Data for Beginners: An Introduction to the Data Analysis, Visualization, Integration, Interoperability, Governance and Ethics," readers will get a comprehensive overview of the key concepts and principles behind Big Data, as well as practical guidance on how to make the most of it. 
  The book begins by defining what Big Data is and why it matters, before moving on to explain the different types of data and how they can be analyzed and visualized. Readers will learn about the various tools and technologies used in data analysis, as well as best practices for integrating and sharing data across different systems and platforms. 
  In addition to the technical aspects of Big Data, the book also covers key issues related to governance and ethics. Readers will gain a deeper understanding of data privacy and security, as well as the importance of transparency and accountability in data-driven decision making. 
  Throughout the book, real-world examples and case studies are used to illustrate key concepts and demonstrate how Big Data is being used in a variety of industries and applications. Whether you're a business professional looking to leverage Big Data to gain a competitive edge, or a student or researcher interested in learning more about this rapidly-evolving field, "Big Data for Beginners" is the perfect starting point. 
   

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  Model Evaluation - Evaluating...

  Brian Murray

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  In the world of data warehousing, the accuracy and performance of models are crucial for effective data analysis and decision-making. "Model Evaluation" is a comprehensive book that provides a detailed overview of the evaluation process for data warehouse models. From understanding the basics of data warehousing to evaluating the performance of different types of models, this book covers the key concepts, techniques, and best practices for evaluating the accuracy and performance of data warehouse models. 
  The book begins with an introduction to data warehousing and its importance in modern organizations. It then delves into the various types of data warehouse models, including relational, dimensional, and multi-dimensional models, and their unique features and use cases. The book explores the challenges and considerations in evaluating the performance and accuracy of these different types of models, including data quality, data completeness, data consistency, and data timeliness. 
  "Model Evaluation" provides a comprehensive overview of the different evaluation techniques and methodologies used in data warehousing, such as benchmarking, performance metrics, data profiling, and data validation. It covers the best practices for evaluating the accuracy of data warehouse models, including data validation and verification techniques, data profiling and cleansing methods, and statistical analysis. 
  The book also discusses the importance of metadata in the evaluation process and how it can provide context and understanding of the data in the data warehouse. It covers topics such as data definitions, data models, data sources, and data transformations, and how they can impact the accuracy and performance of the data warehouse models.

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  Data Modeling and Design...

  SAM CAMPBELL

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  Unlock the power of data with "Data Modeling and Design Essentials: A Beginner's Guide." In an era where information is king, understanding how to structure and organize data is not just a skill but a necessity. This comprehensive book is tailored for beginners, guiding you through the intricate world of data modeling and design with clarity and practicality. 
  Embark on a journey of discovery as you delve into the foundations of data, exploring the importance of organized information and its impact on decision-making, innovation, and the digital landscape. This book serves as a compass, navigating you through the essential concepts, techniques, and best practices of data modeling, ensuring that you build a solid foundation for your future endeavors. 
  Empower yourself with the knowledge and skills needed to navigate the dynamic world of data modeling and design. Start your journey today! 
   

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