Carlos Costa – författare

Big Data is a concept of major relevance in today’s world, sometimes highlighted as a key asset for productivity growth, innovation, and customer relationship, whose popularity has increased considerably during the last years. Areas like smart cities, manufacturing, retail, finance, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data, leveraging unprecedented data-driven workflows and considerably improved decision-making processes.

The concept of a Big Data Warehouse (BDW) is emerging as either an augmentation or a replacement of the traditional Data Warehouse (DW), a concept that has a long history as one of the most valuable enterprise data assets. Nevertheless, research in Big Data Warehousing is still in its infancy, lacking an integrated and validated approach for designing and implementing both the logical layer (data models, data flows, and interoperability between components) and the physical layer (technological infrastructure) of these complex systems.

This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems.

Big Data is a concept of major relevance in today’s world, sometimes highlighted as a key asset for productivity growth, innovation, and customer relationship, whose popularity has increased considerably during the last years. Areas like smart cities, manufacturing, retail, finance, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data, leveraging unprecedented data-driven workflows and considerably improved decision-making processes.

The concept of a Big Data Warehouse (BDW) is emerging as either an augmentation or a replacement of the traditional Data Warehouse (DW), a concept that has a long history as one of the most valuable enterprise data assets. Nevertheless, research in Big Data Warehousing is still in its infancy, lacking an integrated and validated approach for designing and implementing both the logical layer (data models, data flows, and interoperability between components) and the physical layer (technological infrastructure) of these complex systems.

This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems.

This book is the first volume of the proceedings of the 11th International Conference of the International Association of Cultural and Digital Tourism (IACuDiT). Focusing on “Innovation and Creativity in Tourism, Business and Social Sciences,” the conference was held from September 3 to 5, 2024, in Naxos, Greece. The book showcases the latest research on tourism business, technology, and the social sciences and presents a critical academic discourse on ICT adoption in the social sciences, regional development; sustainability and tourism experience; smart and sustainable practices; innovations in museum interpretation and collections management; emerging and disruptive technologies; gaming, gamification and augmented reality, and other topical aspects in business and the social sciences.

The book discusses these digital transformation processes from various standpoints, including its effect on the social sciences combined with specific forms of tourism. The impact of digitalization encourages the emergence of new digital products and services based on the principle of flexibility. The book focuses on the knowledge economy and the “smart destinations” concepts and highlights new modes of tourism management and development, while further chapters address emerging technologies, such as the Internet of Things, AI, big data, and robotics in a range of tourism practices.

This book is the second volume of the proceedings of the 11th International Conference of the International Association of Cultural and Digital Tourism (IACuDiT). Focusing on “Innovation and Creativity in Tourism, Business and Social Sciences,” the conference was held from September 3 to 5, 2024, in Naxos, Greece. The book showcases the latest research on tourism business, technology, and the social sciences and presents a critical academic discourse on ICT adoption in the social sciences, regional development; sustainability and tourism experience; smart and sustainable practices; innovations in museum interpretation and collections management; emerging and disruptive technologies; gaming, gamification and augmented reality, and other topical aspects in business and the social sciences.

The book discusses these digital transformation processes from various standpoints, including its effect on the social sciences combined with specific forms of tourism. The impact of digitalization encourages the emergence of new digital products and services based on the principle of flexibility. The book focuses on the knowledge economy and the “smart destinations” concepts and highlights new modes of tourism management and development, while further chapters address emerging technologies, such as the Internet of Things, AI, big data, and robotics in a range of tourism practices.