Cloud Based Big Data Analytics (17 results)

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Softcover. Condition: New. Dust Jacket Condition: no dj. First. Data governance has become a critical component of cloud-based big data analytics, ensuring data quality, security, and compliance. Data Governance Frameworks for Cloud-Based Big Data Analytics offers a comprehensive guide to building data governance frameworks for cloud-based big data analytics. This book explores the key principles, challenges, and best practices for data governance, discussing the importance of data quality, security, and compliance in cloud-based big data analytics. By mastering the art of data governance, readers can ensure the quality, security, and compliance of their data in cloud environments. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Big Data Analytics with Cloud-Based Platforms Explained is a groundbreaking exploration of the challenges facing big data analytics in the cloud. This book examines the latest developments in cloud-based big data analytics, highlighting their potential to optimize data processing and improve insights. By providing a thorough analysis of the technical and business implications of big data analytics, this book offers a unique perspective on the future of cloud computing and its role in driving innovation and progress. With its focus on the latest advancements in cloud-based big data analytics, this book is an essential resource for anyone seeking to understand the complex interactions between big data and cloud infrastructure. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The increasing adoption of cloud-based big data analytics has created new challenges for data governance, as organizations struggle to manage complex data landscapes and ensure data quality and integrity. This book presents a range of data governance frameworks that enable organizations to establish effective data management practices in cloud-based big data analytics environments. It explores the key components of data governance, including data cataloging, data quality, and data lineage, and provides guidance on implementing these frameworks in real-world scenarios. By understanding the importance of data governance, organizations can ensure the accuracy and reliability of their analytics outputs. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc n.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book covers a range of new concepts in emerging VANETs including the integration with cloud computing and big data analytics, emerging wireless networking concepts, and computing models'.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc n.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.