Big Data in Cloud Computing: Features and Issues (Article)
Author: Pedro Caldeira Neves,Bradley Schmerl,Jorge Bernardino
*Wait a few seconds for the document to load, the time may vary depending on your internet connection. If you prefer, you can download the file by clicking on the link below.
Information
Description: Big Data in Cloud Computing: Features and Issues (Article) por Pedro Caldeira Neves,Bradley Schmerl,Jorge Bernardino. It offers an overview of the integration of big data and cloud computing, outlining benefits and current challenges. This paper is valuable for understanding the interplay and issues surrounding these technologies.
Pages: 8
Megabytes: 0.39 MB
This may interest you
Digital Notes on Big Data Analytics
Extension: PDF | 120 pages
Digital Notes on Big Data Analytics por Malla Reddy College of Engineering and Technology es un material de estudio conciso sobre los fundamentos y las herramientas de Big Data. Explora tecnologías como Hadoop, Hive, Pig y MongoDB, proporcionando una base sólida para principiantes.
Big Data: Challenges, Opportunities, and Realities
Extension: PDF | 30 pages
Big Data: Challenges, Opportunities, and Realities por Abhay Kumar Bhadani and Dhanya Jothimani outlines the core concepts of Big Data, its characteristics, and the value it offers to diverse sectors. It is a comprehensive guide for understanding the evolving landscape of data management and analytics.
Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives
Extension: PDF | 20 pages
Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives por Zhi Hua Zhou, Nitesh V Chawla,Yaochu Jin: This paper offers a valuable discussion on the emerging opportunities and challenges in Big Data from a data analytics perspective. It is a thought-provoking resource for understanding the landscape of Big Data and its potential impact.
Big Data: Challenges and Opportunities
Extension: PDF | 26 pages
Big Data: Challenges and Opportunities por Roberto V Zicari explores the multifaceted challenges of Big Data, covering business, technology, and social good perspectives. This paper highlights the need for innovative approaches in analytics and data management, making it a valuable resource for understanding Big Data's potential.
Fundamentals of Big Data Analytics
Extension: PDF | 78 pages
Fundamentals of Big Data Analytics by Rudolf Mathar introduces key concepts for analyzing large datasets, covering essential dimensionality reduction and machine learning techniques. This PDF provides a strong theoretical foundation, making it a valuable resource for those seeking a deeper understanding of big data analytics.
