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Neuroscience Data in the Cloud: Opportunities and Challenges

. Yet, the cloud model has also produced new challenges related to data storage, organization, and protection. Merely switching the technical;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has;

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Data-Centric Business and Applications

Building on the authors' previous work, this book addresses key processes and procedures used in informationdata processing and management;

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Practical Cloud Security A Guide for Secure Design and Deployment

With their rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities;

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Cloud Computing and Beyond

challenges and opportunities and how can these be addressed? What are the career opportunities in cloud computing? This book unravels the mystery;

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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such;

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Cloud Computing Strategies

opportunities and challenges that loom in the cloud. It explains exactly what cloud computing is, what it has to offer, and calls attention to the;

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Proceedings of 6th International Conference on Big Data and Cloud Computing Chal

The book presents papers from the 6th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2019), held at the;

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Proceedings of 6th International Conference on Big Data and Cloud Computing Chal

The book presents papers from the 6th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2019), held at the;

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Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software;

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Authentication Technologies for Cloud Computing, IoT and Big Data

methods verify that messages come from trusted sources and guarantee the smooth flow of information and data. In this edited reference, the;

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Big Data and Cloud Computing for Development

drive social, economic, and environmental transformation, readers gain a nuanced understanding of the opportunities and challenges these;

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Big Data and Cloud Computing for Development

drive social, economic, and environmental transformation, readers gain a nuanced understanding of the opportunities and challenges these;

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Building the Snowflake Data Cloud

Implement the Snowflake Data Cloud using best practices and reap the benefits of scalability and low-cost from the industry-leading, cloud;

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Edge Computing: A Primer

The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing;

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Neuroscience Trials of the Future

Transforming Clinical Trials with Technology 5 The Regulatory Landscape: International Opportunities and Challenges 6 Ethical Considerations 7;

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Impacts and Challenges of Cloud Business Intelligence

investment. Cloud computing offers a significant edge of traditional computing with big data being continuously transferred to the cloud. For;

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Security and Privacy for Big Data, Cloud Computing and Applications

As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and;

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Cloud Computing

obvious technical aspects of using Cloud but goes beyond, exploring the cultural/social and regulatory/legal challenges that are quickly coming to;

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Cloud Computing with e-Science Applications

cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science. The book;

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Cloud Computing with E-Science Applications

cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science. The book;

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Blockchain Security in Cloud Computing

security while boosting accuracy and integrity in cloud data. The specific highlight of this book is focused on the application of integrated;

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Business Transformations in the Era of Digitalization

trends, business opportunities, and challenges in the digitalization of businesses. Highlighting a range of topics including business-IT;

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Data Integrity in Cloud Computing Systems

, the fact that data owners no longer physically possess their sensitive data raises new challenges to the tasks of data condentiality and;

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Detection and Mitigation of Insider Attacks in a Cloud Infrastructure

wrong audience. Companies look to store their data in a separate location, distancing the availability of the information and reducing the risk;

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Data Science and Data Analytics

from unstructured or complex or large amounts of data (available or stored virtually in the cloud). Data Science and Data Analytics;

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Cloud Computing

and parallel and distributed systems, presents critical components of the cloud ecosystem as cloud service providers, cloud access, cloud data;

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