Data Analysis in the Cloud

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis. Introduces data analysis techniques and cloud computing concepts Describes cloud-based models and systems for Big Data analytics Provides examples of the state-of-the-art in cloud data analysis Explains how to develop large-scale data mining applications on clouds Outlines the main research trends in the area of scalable Big Data analysis

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  • Author : Domenico Talia
  • Publisher : Elsevier
  • Pages : 150 pages
  • ISBN : 0128029145
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Analysis in the Cloud

Data Analysis in the Cloud

Data Analysis in the Cloud
  • Author : Domenico Talia,Paolo Trunfio,Fabrizio Marozzo
  • Publisher : Elsevier
  • Release : 15 September 2015
GET THIS BOOKData Analysis in the Cloud

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research

Machine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT
  • Author : Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri
  • Publisher : John Wiley & Sons
  • Release : 14 July 2021
GET THIS BOOKMachine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Handbook of Research on Cloud Infrastructures for Big Data Analytics
  • Author : Raj, Pethuru
  • Publisher : IGI Global
  • Release : 31 March 2014
GET THIS BOOKHandbook of Research on Cloud Infrastructures for Big Data Analytics

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and

Big Data Analytics for Internet of Things

Big Data Analytics for Internet of Things
  • Author : Tausifa Jan Saleem,Mohammad Ahsan Chishti
  • Publisher : John Wiley & Sons
  • Release : 23 March 2021
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BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms,

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Author : Kai Hwang,Min Chen
  • Publisher : John Wiley & Sons
  • Release : 17 March 2017
GET THIS BOOKBig-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing,

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks
  • Author : Rao, Ram Shringar,Singh, Nanhay,Kaiwartya, Omprakash,Das, Sanjoy
  • Publisher : IGI Global
  • Release : 11 September 2020
GET THIS BOOKCloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

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

Genomics in the Cloud

Genomics in the Cloud
  • Author : Geraldine A. Van der Auwera,Brian D. O'Connor
  • Publisher : O'Reilly Media
  • Release : 02 April 2020
GET THIS BOOKGenomics in the Cloud

Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using

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

Applications of Machine Learning in Big-Data Analytics and Cloud Computing
  • Author : Subhendu Kumar Pani,Somanath Tripathy,George Jandieri,Sumit Kundu,Talal Ashraf Butt
  • Publisher : River Publishers Information S
  • Release : 30 July 2020
GET THIS BOOKApplications 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 increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities

Big Data Analysis for Green Computing

Big Data Analysis for Green Computing
  • Author : Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
  • Publisher : CRC Press
  • Release : 26 November 2021
GET THIS BOOKBig Data Analysis for Green Computing

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics. Big Data Analysis for Green Computing: Concepts and Applications presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It

Data Science on the Google Cloud Platform

Data Science on the Google Cloud Platform
  • Author : Valliappa Lakshmanan
  • Publisher : "O'Reilly Media, Inc."
  • Release : 12 December 2017
GET THIS BOOKData Science on the Google Cloud Platform

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing

Cloud Computing for Geospatial Big Data Analytics

Cloud Computing for Geospatial Big Data Analytics
  • Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
  • Publisher : Springer
  • Release : 11 December 2018
GET THIS BOOKCloud Computing for Geospatial Big Data Analytics

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role

Pragmatic AI

Pragmatic AI
  • Author : Noah Gift
  • Publisher : Addison-Wesley Professional
  • Release : 12 July 2018
GET THIS BOOKPragmatic AI

Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples

Research Anthology on Big Data Analytics, Architectures, and Applications

Research Anthology on Big Data Analytics, Architectures, and Applications
  • Author : Information Resources Management Association
  • Publisher : Engineering Science Reference
  • Release : 24 September 2021
GET THIS BOOKResearch Anthology on Big Data Analytics, Architectures, and Applications

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics,

Big Data

Big Data
  • Author : Fei Hu
  • Publisher : CRC Press
  • Release : 27 April 2016
GET THIS BOOKBig Data

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics
  • Author : Taser, Pelin Yildirim
  • Publisher : IGI Global
  • Release : 05 November 2021
GET THIS BOOKEmerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks