Big Data – 700 Questions

If you are like us, fascinated by the digital revolution that has been shaping the contemporary world, then the book "Big Data: 700 Questions" is your gateway to explore and understand the universe of Big Data in a comprehensive and up-to-date way. In this book, we have gathered more than 700 carefully crafted questions to provide you, dear reader, with a complete overview from the fundamental concepts of Big Data to its practical applications in different industries and areas of activity. Whether you're a student in search of knowledge, a professional constantly looking for improvement, or simply curious about the technologies shaping our future, this book is designed to meet your information and knowledge needs. As you dive into the pages of "Big Data: 700 Questions," you'll have the opportunity to explore the five Vs of Big Data, understand the impact of Big Data on information science, examine data and analytics technology trends, and investigate the challenges and opportunities that Big Data presents to modern society. Each chapter of this work is a piece of the Big Data puzzle, allowing you not only to understand the individual components but also to glimpse the big picture and the interconnections between them. From the practical applications of Big Data to large-scale data analysis, to digital security and information storage, this book is a true journey of discovery and learning. We recommend "Big Data: 700 Questions" both for students in training and for professionals in different fields, such as Information Science, Information Technology, and Computing, who seek to deepen their understanding and applications of Big Data. This book is an essential guide for those who want to master the complexities of this powerful analytical tool and understand how data is transforming the world we live in. Get ready to unravel the mysteries O BIG DATA. THE CONCEPT OF BIG DATA. 700 QUESTIONS. INFORMATION – THE RAW MATERIAL OF EVERYTHING. BIG DATA. BIG DATA APPLICATIONS. INFORMATION SCIENCE. DATA AND ANALYTICS TECHNOLOGY TRENDS. AUGMENTED ANALYTICS. CONTINUOUS INTELLIGENCE. DISTRIBUTED COMPUTING. LATENCY. TECHNOLOGY. DATA MINING. CLASSIFICATION TREES. LOGISTIC REGRESSION. CHALLENGES OF BIG DATA MANAGEMENT. PROFESSIONS IN THE CONTEXT OF BIG DATA. REQUIREMENTS FOR BIG DATA MANAGEMENT. BIG DATA AND RELATED DATA STRUCTURES. BIG DATA LAYERS. BIG DATA STORAGE. BUSINESS INTELLIGENCE E BIG DATA. CLOUD COMPUTING E BIG DATA. APPLICATION VIRTUALIZATION. SAAS, IAAS E EASTER. IMPLEMENTATION OF BIG DATA. CUSTODIANS OF BIG DATA. HIDDEN BIG DATA HACKS. BIG DATA FOR SMALL BUSINESSES. DIGITAL SECURITY. DATA WAREHOUSE. This book on Big Data aims to help technology professionals have fewer problems and unforeseen risks. 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.