Data Analysis in the Cloud

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  • Publisher : Elsevier
  • Release : 15 September 2015
  • ISBN : 9780128029145
  • Page : 150 pages
  • Rating : 4.5/5 from 103 voters

Data Analysis in the Cloud Book PDF summary

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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Data Analysis in the Cloud

Data Analysis in the Cloud
  • Author : Domenico Talia,Paolo Trunfio,Fabrizio Marozzo
  • Publisher : Elsevier
  • Release Date : 2015-09-15
  • ISBN : 9780128029145
DOWNLOAD 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

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 Date : 2017-03-17
  • ISBN : 9781119247296
DOWNLOAD 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,

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 Date : 2021-07-14
  • ISBN : 9781119785859
DOWNLOAD 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

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 Date : 2018-12-11
  • ISBN : 9783030033590
DOWNLOAD 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

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 Date : 2020-07-30
  • ISBN : 8770221820
DOWNLOAD 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

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 Date : 2014-03-31
  • ISBN : 9781466658653
DOWNLOAD 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 Date : 2021-03-29
  • ISBN : 9781119740773
DOWNLOAD BOOKBig Data Analytics for Internet of Things

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,

Data Science on the Google Cloud Platform

Data Science on the Google Cloud Platform
  • Author : Valliappa Lakshmanan
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2017-12-12
  • ISBN : 9781491974513
DOWNLOAD 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

Big-Data Analytics and Cloud Computing

Big-Data Analytics and Cloud Computing
  • Author : Marcello Trovati,Richard Hill,Ashiq Anjum,Shao Ying Zhu,Lu Liu
  • Publisher : Springer
  • Release Date : 2016-01-12
  • ISBN : 9783319253138
DOWNLOAD BOOKBig-Data Analytics and Cloud Computing

This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural

Cloud Scale Analytics with Azure Data Services

Cloud Scale Analytics with Azure Data Services
  • Author : Patrik Borosch
  • Publisher : Packt Publishing Ltd
  • Release Date : 2021-07-23
  • ISBN : 9781800562141
DOWNLOAD BOOKCloud Scale Analytics with Azure Data Services

A practical guide to implementing a scalable and fast state-of-the-art analytical data estate Key FeaturesStore and analyze data with enterprise-grade security and auditingPerform batch, streaming, and interactive analytics to optimize your big data solutions with easeDevelop and run parallel data processing programs using real-world enterprise scenariosBook Description Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed,

Pragmatic AI

Pragmatic AI
  • Author : Noah Gift
  • Publisher : Addison-Wesley Professional
  • Release Date : 2018-07-12
  • ISBN : 9780134863917
DOWNLOAD 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

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 Date : 2020-09-11
  • ISBN : 9781799827665
DOWNLOAD 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 Date : 2020-04-02
  • ISBN : 9781491975169
DOWNLOAD 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

Data Analytics with Google Cloud Platform

Data Analytics with Google Cloud Platform
  • Author : Murari Ramuka
  • Publisher : BPB Publications
  • Release Date : 2019-12-16
  • ISBN : 9789389423648
DOWNLOAD BOOKData Analytics with Google Cloud Platform

Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services Key Featuresa- Learn the basic concept of Cloud Computing along with different Cloud service provides with their supported Models (IaaS/PaaS/SaaS)a- Learn the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup in the Google Cloud Platforma- Learn how and when to use Cloud DataFlow, Cloud DataProc and Cloud DataPrep a- Build real-time data pipeline to support real-time analytics using Pub/

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 Date : 2021-09-24
  • ISBN : 1668436620
DOWNLOAD 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,