Data Analysis in the Cloud

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

Download or Read online Data Analysis in the Cloud full in PDF, ePub and kindle. this book written by Domenico Talia and published by Elsevier which was released on 15 September 2015 with total page 150 pages. We cannot guarantee that Data Analysis in the Cloud book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

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 BOOK 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

Techniques and Environments for Big Data Analysis

Techniques and Environments for Big Data Analysis
  • Author : B. S.P. Mishra,Satchidananda Dehuri,Euiwhan Kim,Gi-Name Wang
  • Publisher : Springer
  • Release : 05 February 2016
GET THIS BOOK Techniques and Environments for Big Data Analysis

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role

Advances in Big Data and Cloud Computing

Advances in Big Data and Cloud Computing
  • Author : Elijah Blessing Rajsingh,Jey Veerasamy,Amir H. Alavi,J. Dinesh Peter
  • Publisher : Springer
  • Release : 06 April 2018
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This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies, it provides novel ideas that further world-class research and development. This concise compilation

Communication Cloud and Big Data

Communication  Cloud and Big Data
  • Author : Hiren Kumar Deva Sarma,Prativa Rai,Samarjeet Borah
  • Publisher : ACCB Publishing
  • Release : 31 December 2014
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Analysis of big data is becoming a hot stuff for engineers, researchers and business enterprises now a days. It refers to the process of collecting, organizing and analyzing large sets of data to discover hidden patterns and other useful information. Not solely can massive information analytics assist to know the knowledge contained inside the information, however it will additionally facilitate to determine the information that is most significant to the business and future business choices. Cloud computing is the type

Big Data Analytics with Hadoop 3

Big Data Analytics with Hadoop 3
  • Author : Sridhar Alla
  • Publisher : Packt Publishing Ltd
  • Release : 31 May 2018
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Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink Exploit big data using Hadoop 3 with real-world examples Book Description Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build

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 BOOK Machine Learning Approach for Cloud Data Analytics in IoT

Im Zeitalter des Internet of Things (IoT) erzeugen Edge-Geräte in jedem Sekundenbruchteil gigantische Datenmengen. Dabei besteht das Hauptziel dieser Netzwerke darin, aus den gesammelten Daten sinnvolle Informationen abzuleiten. Gleichzeitig werden gewaltige Datenmengen in die Cloud übertragen, was extrem teuer und zeitaufwändig ist. Es ist somit notwendig, effiziente Mechanismen für die Verarbeitung dieser gewaltigen Datenmengen zu entwickeln, und dafür sind effiziente Datenverarbeitungstechniken erforderlich. Nachhaltige Paradigmen wie Cloud Computing und Fog Computing tragen zu einem geschickten Umgang mit

Internet of Things and Data Analytics Handbook

Internet of Things and Data Analytics Handbook
  • Author : Hwaiyu Geng
  • Publisher : John Wiley & Sons
  • Release : 10 January 2017
GET THIS BOOK Internet of Things and Data Analytics Handbook

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text

BigQuery for Data Warehousing

BigQuery for Data Warehousing
  • Author : Mark Mucchetti
  • Publisher : Apress
  • Release : 20 December 2020
GET THIS BOOK BigQuery for Data Warehousing

Create a data warehouse, complete with reporting and dashboards using Google’s BigQuery technology. This book takes you from the basic concepts of data warehousing through the design, build, load, and maintenance phases. You will build capabilities to capture data from the operational environment, and then mine and analyze that data for insight into making your business more successful. You will gain practical knowledge about how to use BigQuery to solve data challenges in your organization. BigQuery is a managed

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 BOOK Cloud 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

Computational Intelligence for Big Data Analysis

Computational Intelligence for Big Data Analysis
  • Author : D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal
  • Publisher : Springer
  • Release : 21 April 2015
GET THIS BOOK Computational Intelligence for Big Data Analysis

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each

Data Analytics with Google Cloud Platform

Data Analytics with Google Cloud Platform
  • Author : Murari Ramuka
  • Publisher : BPB Publications
  • Release : 16 December 2019
GET THIS BOOK Data Analytics with Google Cloud Platform

Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services DESCRIPTION Modern businesses are awash with data, making data-driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with enough knowledge of Cloud Computing in conjunction with Google Cloud Data platform to succeed in the role of a Cloud data expert. The current market is trending towards the latest cloud

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 : 27 July 2021
GET THIS BOOK Machine Learning Approach for Cloud Data Analytics in IoT

In this era of IoT, edge devices generate gigantic data during every fraction of a second. The main aim of these networks is to infer some meaningful information from the collected data. For the same, the huge data is transmitted to the cloud which is highly expensive and time-consuming. Hence, it needs to devise some efficient mechanism to handle this huge data, thus necessitating efficient data handling techniques. Sustainable computing paradigms like cloud and fog are expedient to capably handle