Big Data - Glossary - Pinto, Marcus Vinicius
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Welcome to the fascinating world of Big Data! This book has been carefully crafted to serve as a complete and comprehensive guide for all those who wish to delve into the universe of large-scale data and its applications in today's technological landscape. From businesses to academics, IT professionals to the curious, this glossary is designed to provide a clear and accessible understanding of the terms, concepts, and technologies that permeate the Big Data environment. >In this book, you'll find detailed definitions, practical examples, and clear explanations of a wide range of terms related…mehr

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Welcome to the fascinating world of Big Data! This book has been carefully crafted to serve as a complete and comprehensive guide for all those who wish to delve into the universe of large-scale data and its applications in today's technological landscape. From businesses to academics, IT professionals to the curious, this glossary is designed to provide a clear and accessible understanding of the terms, concepts, and technologies that permeate the Big Data environment. >In this book, you'll find detailed definitions, practical examples, and clear explanations of a wide range of terms related to Big Data, from fundamental concepts to advanced data analysis techniques. Whether you're a beginner looking to understand the basics of Big Data, or a seasoned professional looking to enhance your knowledge of the latest technologies and trends, this glossary will be your indispensable companion. >May this glossary be a reliable compass on your journey through Big Data, providing you with the essential knowledge and tools you need to confidently navigate this ocean of information. Happy reading and may every page of this book lead you to new discoveries and inspiring insights into the dynamic and challenging world of Big Data. I recommend this book to students and professionals of Information Science, Information Technology, Computing and other professionals who aspire to perform functions in the field of information technology. Who this book is for: >In addition, it can be used by professionals in information technology, data management, data architecture, attribute engineering, business analysts and systems analysts involved in data analysis projects. About the Author: >He is the proponent of several methodologies, among which the data modeling and data warehouse standards, data model validation and management methodology, and data mart development methodology stand out. A current focus of action is the open government data landscape.
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