Outros livros que poderiam interessá-lo

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  Beekeeping Beginners...

  Brian Mahoney

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  END MONEY WORRIES! 
  Beekeeping Beginners Entrepreneur Honey Bee Audio Book 
  How To Start, Get Government Grants, Market & Write a Business Plan for Your Small Business 
  Discover... 
  * A complete overview of everything need to start your Beekeeping business 
  * What supplies you'll need and where to get them 
  * A step by step action guide to starting your business 
  *Selecting your business structure 
  * How to write a professional Business plan 
  * How to get Colossal Cash Crowdfunding 
  * Get Government Grants a step by step guide 
  *How to get a SBA Loan of up to 5 Million Dollars with a average loan amount of over $300,000!!! 
  * Zero Cost & low cost Marketing that could reach Millions! 
  * How to protect your Beekeeping business  
  "An investment in knowledge always pays the best interest." 
  Benjamin Franklin 
  Just think, for less than the cost of 1 movie ticket you can get the knowledge you want to start an amazing adventure! 
  So take advantage of this amazing offer today! Don't wait... You'll wait your life away...

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  Systems Analysis & Design for...

  Daniel Green

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  Dive into the dynamic and essential world of systems analysis and design with this comprehensive guide tailored for beginners. "Systems Analysis & Design for Beginners: A Journey into the World of IT Solutions" demystifies the complex processes, methodologies, and practices that underpin the creation and maintenance of information systems. Whether you're aspiring to become a systems analyst or simply intrigued by the development of IT solutions, this book is your ideal starting point. 
  Across its detailed chapters, the book unfolds the fundamentals of information systems, introducing readers to various types of systems and their components. It elucidates the Systems Development Life Cycle (SDLC), offering insights into different models and their applications in real-world scenarios. From project planning and management to requirements gathering, analysis, and the intricacies of designing solutions, the guide covers the essential phases and challenges encountered in the development process. 
  Implementation, testing, and maintenance are dissected to provide a thorough understanding of what happens post-design, ensuring readers are equipped to handle the realities of deploying and improving systems. Additionally, the book delves into emerging trends such as cloud computing, AI, and mobile applications, preparing readers for the future landscape of systems analysis and design. 
  "Systems Analysis & Design for Beginners" is more than just a textbook; it's a roadmap for navigating the challenges and opportunities in the field of IT solutions. By the end of this book, readers will not only grasp the theoretical aspects of systems analysis and design but also gain insights into practical applications, emerging trends, and the skills needed to carve out a successful career in this dynamic field. Welcome to your first step towards mastering the art and science of systems analysis and design. 
    
   

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  97 Things Every Data Engineer...

  Tobias Macey

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  Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. 
   
   
   
  Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Topics include: 
   
   
   
  ● The Importance of Data Lineage—Julien Le Dem 
   
   
   
  ● Data Security for Data Engineers—Katharine Jarmul 
   
   
   
  ● The Two Types of Data Engineering and Data Engineers—Jesse Anderson 
   
   
   
  ● Six Dimensions for Picking an Analytical Data Warehouse—Gleb Mezhanskiy 
   
   
   
  ● The End of ETL as We Know It—Paul Singman

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  Economic Business and Artificial...

  Steve Dafoe

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  Recently, I learned about General Artificial Intelligence and the implications it will have in our lives. The array of opinions crosses the full spectrum from the wonderful ways it will improve our lives to the fear it could unleash a ‘Self-Controlled Superintelligence’ that may not align itself with human social and ethical constructs. This subject is fast moving rocket and it is important that everyone understands some key terms when it comes to Artificial Intelligence. Whether you know it or not, AI touches your lives today and in future, will increase exponentially as it exerts this massive influence in our lives. 
  In addition, being a student of Economics and Business, I always seek to refresh my knowledge of key terms in these areas. Economics, Business and Politics overlap a great deal in academia and in real-world applications. Artificial Intelligence will add for the better bringing the fields of Business, Politics and Economics together for the betterment of society. 
  Contained within is a small list of common terms in the areas of Economics, Business and Artificial Intelligence. Political terms are not included here but you will read some definitions of Economics that do have an overlap of political inferences. 
  I hope these terms and definitions provide some insight into the world of economics, business, and artificial intelligence. They all affect your lives more than you realize. 

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  The 19 Laws of AI Prompting...

  Nikolay Gul

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  This audiobook is narrated by an AI Voice.   
  In the age of AI, prompts aren’t just instructions — they’re engines of reasoning. 
  The 19 Laws of AI Prompting Intelligence by Nikolay Gul is the practical framework for mastering human–AI collaboration through prompt engineering, strategic thinking, and cognitive design. In under two hours, this audiobook equips you with resilient prompting patterns that actually work. 
  You’ll learn how to: 
  • Design modular prompts you can reuse, scale, and transfer. 
  • Simulate expert roles with persona layering for smarter decisions. 
  • Debug AI failures with a clear prompt‑fix protocol. 
  • Prime memory & context so sessions stay aligned. 
  • Flip perspectives & break echo chambers to expose blind spots. 
  • Stress‑test prompts with adversarial and ethical frames. 
  • Format prompts for transfer across models and teams. 
  • Evolve your prompts recursively into stronger versions. 
  • Think across models (GPT, Claude, Gemini) with future‑proof techniques. 
  Written by Nikolay Gul, author of Easy Book Self‑Publishing and AI‑Driven Cybersecurity and High‑Tech Marketing, this audiobook is your concise, field‑tested guide to prompting that actually improves how you think. 
  Runtime: ~1 hour 49 minutes 
  Publisher: Future-Proof Marketing Press 
  Narration: ElevenLabs (Digital Voice)

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  Serverless Data Engineering -...

  Chuck Sherman

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  In the fast-paced world of data engineering, staying agile, scalable, and cost-efficient is paramount. "Serverless Data Engineering" is your essential guide to revolutionizing the way you handle data pipelines and analytics. Dive into the cutting-edge technology of serverless computing and discover how it can supercharge your data engineering projects. 
  This book begins by unraveling the fundamentals of serverless architectures, shedding light on the core components and services offered by leading cloud providers. You'll explore the stark differences between serverless and traditional data engineering approaches, setting the stage for a paradigm shift in your work. 
  From there, you'll embark on a hands-on journey through the various stages of data engineering, from data ingestion to transformation, storage, orchestration, and beyond. Learn how to architect robust data pipelines using serverless functions, and discover the power of serverless data storage solutions like data warehouses and NoSQL databases. 
  "Serverless Data Engineering" doesn't stop at the technical aspects. It delves into the critical realms of data quality, governance, monitoring, and error handling to ensure your data remains pristine and your pipelines resilient. Harness the true potential of scalability and cost optimization, and gain insights into emerging trends like edge computing and machine learning integration. 
  "Serverless Data Engineering" is your indispensable companion on the journey to mastering serverless technology and transforming your data engineering practices. Start building smarter, leaner, and more efficient data pipelines today. 
   

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