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                <text>This open access book contains eight chapters that deal with database technologies, including the development history of databases, database fundamentals, introduction to SQL syntax, classification of SQL syntax, database security fundamentals, database development environment, database design fundamentals, and the application of Huawei’s cloud database product, GaussDB.&#13;
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This book can be used as a textbook for database courses in colleges and universities and is also suitable as a reference book for the HCIA-GaussDB V1.5 certification examination. The Huawei GaussDB (for MySQL) used in the book is a Huawei cloud-based, high-performance, highly applicable relational database that fully supports the syntax and functionality of the open-source database MySQL. All the experiments in this book can be run on this database platform.&#13;
&#13;
As the world’s leading provider of ICT (information and communication technology) infrastructure and smart terminals, Huawei’s products range from digital data communication, cybersecurity, wireless technology, data storage, cloud computing, and smart computing to artificial intelligence.</text>
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                <text>In the undergraduate study of computer science, a lecturer only teaches some things that are in the literature (most likely in an open access textbook). That knowledge may have been discovered before, several decades ago. A student is deemed to be good if they have perfectly finished assignments and have prepared well for their examinations. As an example, those students can easily get high grades for all fundamental courses (e.g., programming courses, linear algebra, probability and statistics, data structures, and design and analysis of algorithms) if they have worked extremely hard on the exercises that are provided in those open-access textbooks or in class.&#13;
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Therefore, the undergraduate students do not need to have creativity (e.g., establish new knowledge) for obtaining an undergraduate degree. &#13;
All they need to do is to consolidate their foundation. However, the most critical transition from undergraduate study to postgraduate study is to create new knowledge, which advances the state of the art in the computer science field. Moreover, postgraduate students need to write papers in a logical way (by telling a great story) so that other reviewers can accept them. In order to accomplish these two tasks, students need to change their mindsets for adapting to this new environment.&#13;
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 In this open access book, we discuss this main theme in detail to analyze the common mistakes that are easily made by new students and show the correct methodology for reading/writing papers. With this methodology, we believe that those students who are dedicated to computer science research can be very productive for publishing top-tier papers.</text>
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                <text>This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages.&#13;
&#13;
The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications.&#13;
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Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research.</text>
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                <text>This open access book aims to synthesize and integrate the research challenges in data science and data engineering. It offers a comprehensive survey of the entire data management stack, from scalable and explainable data analytics to traceable data workflows. By providing a consistent framework, it facilitates a thorough understanding of the data science lifecycle, from basic definitions to state-of-the-art concepts and techniques. &#13;
&#13;
The book is divided into four parts, each focusing on a different aspect of the data management and science lifecycle: governance, storage and processing, preparation, and analysis. Each part is organized to provide a coherent conceptual framework and is divided into multiple chapters, each focusing on a specific topic but together offering a comprehensive overview of the state of the art and the key challenges in the respective areas. While the parts and chapters follow a logical sequence, each chapter is designed to be self-contained and can be read independently. &#13;
Chapters include references for further reading and deeper exploration and often also provide concrete examples or use cases to make the material more accessible. &#13;
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&#13;
The book is designed to be a valuable resource for both researchers and practitioners seeking to leverage data engineering for data science applications. For both seasoned experts and budding professionals, it provides the tools and knowledge needed to stay at the forefront of data-driven advancements.</text>
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As the world’s leading provider of ICT (information and communication technology) infrastructure and smart terminals, Huawei’s products range from digital data communication, cybersecurity, wireless technology, data storage, cloud computing, and smart computing to artificial intelligence.</text>
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                <text>Huawei Technologies Co., Ltd.</text>
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            <name>Subject</name>
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                <text>Cloud Computing </text>
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                <text>Springer</text>
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                <text>2023</text>
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                <text>This work is licensed under a Creative Commons Attribution 4.0 International License</text>
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            <name>Language</name>
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                <text>English</text>
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            <name>Description</name>
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                <text>This open access book introduces cloud computing and related technologies from the concept, technology, and architecture of cloud computing, combined with typical application cases of cloud; provides students with a more complete knowledge framework in the field of cloud computing; and lays the foundation for future research, development, and further study in cloud computing, big data, and other related fields.&#13;
&#13;
As the world's leading provider of ICT (information and communication technology) infrastructure and intelligence terminals, Huawei's products are already available in a number of areas, including connectivity, security, wireless, storage, cloud computing, intelligent computing, and artificial intelligence.</text>
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