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  • Sách/Book

  • SEO 2023: Learn search engine optimization with smart internet marketing strategies

    • Authors: Clarke, Adam (2022)

  • In this SEO book you will find: 1. SEO explained in simple language, beginner to advanced. 2. The inner workings of Google’s algorithm and how it calculates the search results. 3. How to find “money” keywords that will send customers to your site. 4. Sneaky tricks to get local businesses ranking high with local SEO. 5. How to get featured in the mainstream news, for free. 6. Three sources to get expert SEO and Internet marketing advice worth thousands of dollars for free. 7. A simple step-by-step checklist and video tutorials, exclusive for readers.
  • Sách/Book

  • Essentials of economics

    • Authors: Sloman, John (2022)

  • Welcome to this introduction to economics. Whether you are planning to study economics beyond this level, or whether this will be your only exposure to this fascinating subject, we hope that you will find the text enjoyable and that it will give you some insight into the economy in which you live and the economic forces that shape all our lives"
  • Sách/Book

  • Integral Logistics Management: Operations and Supply Chain Management Within and Across Companies

    • Authors: Schönsleben, Paul (2022)

  • Integral Logistics Management —Operations and Supply Chain Management Within and Across Companies. As for the previous edition, issues in strategy and design of supply chains have once again gained importance. Accordingly, I have combined the basic principles of the Integral Logistics Management with its strategies in the entrepreneurial context and its strategic design options in a separate part of the new edition.
  • Sách/Book

  • Innovation Soup: A Recipe for Organizational Success

    • Authors: Puligadda, Sanjay (2022)

  • This book is for anyone wanting to kick start innovation in their organization. It is ground-breaking in two ways: It is based on data, combining empirical research, literature reviews, business cases, and interviews. It tells a story of two friends in diametrically opposite business predicaments due to COVID. Their story is complex and layered, making for engaging reading.
  • Sách/Book

  • Sustainability, big data, and corporate social responsibility : evidence from the tourism industry

    • Authors: Abdelli, Mohammed El Amine (2022)

  • This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector
  • Sách/Book

  • Fundamentals of web development

    • Authors: Randy Connolly Calgary (2022)

  • "This textbook is intended to cover the broad range of topics required for modern web development and is suitable for intermediate to upper-level computing students. A significant percentage of the material in this book has also been used by the authors to teach web development principles to first-year computing students and to non-computing students as well"
  • Sách/Book

  • Starting out with Python

    • Authors: Tony Gaddis (2022)

  • PythonIn Starting Out with Python, 5th Edition, Tony Gaddis’ accessible coverage introduces students to the basics of programming in a high-level language. Python, an easy-to-learn and increasingly popular object-oriented language, allows readers to become comfortable with the fundamentals of programming without the troublesome syntax that can be challenging for novices.
  • Sách/Book

  • Data quality fundamentals : a practitioner's guide to building trustworthy data pipelines

    • Authors: Barr Moses (2022)

  • "Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck, from the data observability company Monte Carlo, explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipeline...