BIG DATA - GLOSSARY: 7 - Softcover

Inhaltsangabe

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.
With the explosion in the amount of data generated daily, Big Data has become a valuable and powerful resource, capable of driving innovations, insights, and strategic decision-making in various areas.

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.
I hope this book will be a source of inspiration and learning, unlocking the transformative potential of Big Data and piquing your curiosity to further explore the vast horizons of this fascinating universe.

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:
This book can be used as a textbook or as a complement to disciplines that intersect with Big Data, Data Science, data processing and Internet information analysis.

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:
Marcus Pinto – Prof. Marcão, as he is known by everyone – has a master's degree in Information Technology and has been working in the information architecture and attribute engineering segment since the mid-1980s.

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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