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Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Buch | Softcover
350 Seiten
2021
Business Science Reference (Verlag)
978-1-7998-3112-9 (ISBN)
CHF 419,95 inkl. MwSt
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Highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors.
In today's market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.
Erscheinungsdatum
Sprache englisch
Maße 216 x 279 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Mathematik / Informatik Informatik Theorie / Studium
ISBN-10 1-7998-3112-4 / 1799831124
ISBN-13 978-1-7998-3112-9 / 9781799831129
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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