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Big Data Networked Storage Solution For Hadoop
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Book Synopsis Big Data Networked Storage Solution for Hadoop by : Prem Jain
Download or read book Big Data Networked Storage Solution for Hadoop written by Prem Jain and published by IBM Redbooks. This book was released on 2013-07-12 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM provides a reference architecture, based on Apache Hadoop, to help businesses gain control over their data, meet tight service level agreements (SLAs) around their data applications, and turn data-driven insight into effective action. Big Data Networked Storage Solution for Hadoop delivers the capabilities for ingesting, storing, and managing large data sets with high reliability. IBM InfoSphere® Big InsightsTM provides an innovative analytics platform that processes and analyzes all types of data to turn large complex data into insight. IBM InfoSphere BigInsights brings the power of Hadoop to the enterprise. With built-in analytics, extensive integration capabilities, and the reliability, security and support that you require, IBM can help put your big data to work for you. This IBM Redpaper publication provides basic guidelines and best practices for how to size and configure Big Data Networked Storage Solution for Hadoop.
Book Synopsis Big Data Networked Storage Solution for Hadoop by : Prem Jain
Download or read book Big Data Networked Storage Solution for Hadoop written by Prem Jain and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Big Data and Computational Intelligence in Networking by : Yulei Wu
Download or read book Big Data and Computational Intelligence in Networking written by Yulei Wu and published by CRC Press. This book was released on 2017-12-14 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.
Book Synopsis Big Data Application Architecture Q&A by : Nitin Sawant
Download or read book Big Data Application Architecture Q&A written by Nitin Sawant and published by Apress. This book was released on 2014-01-24 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.
Download or read book Network Storage written by James O'Reilly and published by Morgan Kaufmann. This book was released on 2016-10-14 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network Storage: Tools and Technologies for Storing Your Company’s Data explains the changes occurring in storage, what they mean, and how to negotiate the minefields of conflicting technologies that litter the storage arena, all in an effort to help IT managers create a solid foundation for coming decades. The book begins with an overview of the current state of storage and its evolution from the network perspective, looking closely at the different protocols and connection schemes and how they differentiate in use case and operational behavior. The book explores the software changes that are motivating this evolution, ranging from data management, to in-stream processing and storage in virtual systems, and changes in the decades-old OS stack. It explores Software-Defined Storage as a way to construct storage networks, the impact of Big Data, high-performance computing, and the cloud on storage networking. As networks and data integrity are intertwined, the book looks at how data is split up and moved to the various appliances holding that dataset and its impact. Because data security is often neglected, users will find a comprehensive discussion on security issues that offers remedies that can be applied. The book concludes with a look at technologies on the horizon that will impact storage and its networks, such as NVDIMMs, The Hybrid Memory Cube, VSANs, and NAND Killers. Puts all the new developments in storage networking in a clear perspective for near-term and long-term planning Offers a complete overview of storage networking, serving as a go-to resource for creating a coherent implementation plan Provides the details needed to understand the area, and clears a path through the confusion and hype that surrounds such a radical revolution of the industry
Book Synopsis Handbook of Research on Cloud Infrastructures for Big Data Analytics by : Raj, Pethuru
Download or read book Handbook of Research on Cloud Infrastructures for Big Data Analytics written by Raj, Pethuru and published by IGI Global. This book was released on 2014-03-31 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1466665408 Total Pages :2300 pages Book Rating :4.4/5 (666 download)
Book Synopsis Cloud Technology: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Cloud Technology: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2014-10-31 with total page 2300 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the Web grows and expands into ever more remote parts of the world, the availability of resources over the Internet increases exponentially. Making use of this widely prevalent tool, organizations and individuals can share and store knowledge like never before. Cloud Technology: Concepts, Methodologies, Tools, and Applications investigates the latest research in the ubiquitous Web, exploring the use of applications and software that make use of the Internets anytime, anywhere availability. By bringing together research and ideas from across the globe, this publication will be of use to computer engineers, software developers, and end users in business, education, medicine, and more.
Book Synopsis High-Performance Persistent Storage System for BigData Analysis by : Piyush Saxena
Download or read book High-Performance Persistent Storage System for BigData Analysis written by Piyush Saxena and published by GRIN Verlag. This book was released on 2014-08-19 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2014 in the subject Computer Science - Applied, grade: 82.00, , course: M.Tech CS&E, language: English, abstract: Hadoop and Map reduce today are facing huge amounts of data and are moving towards ubiquitous for big data storage and processing. This has made it an essential feature to evaluate and characterize the Hadoop file system and its deployment through extensive benchmarking. We have other benchmarking tools widely available with us today that are capable of analyzing the performance of the Hadoop system but they are made to either run in a single node system or are created for assessing the storage device that is attached and its basic characteristics as top speed and other hardware related details or manufacturer’s details. For this, the tool used is HiBench that is an essential part of Hadoop and is comprehensive benchmark suit that consist of a complete deposit of Hadoop applications having micro bench marks & real time applications for the purpose of benchmarking the performance of Hadoop on the available type of storage device (i.e. HDD and SSD) and machine configuration. This is helpful to optimize the performance and improve the support towards the limitations of Hadoop system. In this research work we will analyze and characterize the performance of external sorting algorithm in Hadoop (MapReduce) with SSD and HDD that are connected with various Interconnect technologies like 10GigE, IPoIB and RDBAIB. In addition, we will also demonstrate that the traditional servers and old Cloud systems can be upgraded by software and hardware up gradations to perform at par with the modern technologies to handle these loads, without spending ruthlessly on up gradations or complete changes in the system with the use of Modern storage devices and interconnect networking systems. This in turn reduces the power consumption drastically and allows smoother running of large scale servers with low latency and high throughput allowing use of the utmost power of the processors for the big data flowing in the network.
Book Synopsis Big Data Analytics for Sensor-Network Collected Intelligence by : Hui-Huang Hsu
Download or read book Big Data Analytics for Sensor-Network Collected Intelligence written by Hui-Huang Hsu and published by Morgan Kaufmann. This book was released on 2017-02-02 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Contains contributions from noted scholars in computer science and electrical engineering from around the globe Provides a broad overview of recent developments in sensor collected intelligence Edited by a team comprised of leading thinkers in big data analytics
Book Synopsis Networking for Big Data by : Shui Yu
Download or read book Networking for Big Data written by Shui Yu and published by CRC Press. This book was released on 2015-07-28 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data,
Download or read book Big Data written by Rajkumar Buyya and published by Morgan Kaufmann. This book was released on 2016-06-07 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. Covers computational platforms supporting Big Data applications Addresses key principles underlying Big Data computing Examines key developments supporting next generation Big Data platforms Explores the challenges in Big Data computing and ways to overcome them Contains expert contributors from both academia and industry
Book Synopsis Handbook of Research on Big Data Storage and Visualization Techniques by : Segall, Richard S.
Download or read book Handbook of Research on Big Data Storage and Visualization Techniques written by Segall, Richard S. and published by IGI Global. This book was released on 2018-01-05 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
Book Synopsis Moving Hadoop to the Cloud by : Bill Havanki
Download or read book Moving Hadoop to the Cloud written by Bill Havanki and published by "O'Reilly Media, Inc.". This book was released on 2017-07-14 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there’s a lot more to deploying Hadoop to the public cloud than simply renting machines. This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You’ll learn how to architect clusters that work with cloud-provider features—not just to avoid pitfalls, but also to take full advantage of these services. You’ll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them. Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks Examine the common concepts of cloud providers, including compute capabilities, networking and security, and storage Build a functional Hadoop cluster on cloud infrastructure, and learn what the major providers require Explore use cases for high availability, relational data with Hive, and complex analytics with Spark Get patterns and practices for running cloud clusters, from designing for price and security to dealing with maintenance
Author :Shoban Babu Sriramoju Publisher :Horizon Books ( A Division of Ignited Minds Edutech P Ltd) ISBN 13 :9386369575 Total Pages :197 pages Book Rating :4.3/5 (863 download)
Book Synopsis INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS by : Shoban Babu Sriramoju
Download or read book INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS written by Shoban Babu Sriramoju and published by Horizon Books ( A Division of Ignited Minds Edutech P Ltd). This book was released on 2017-12-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is certainly one of the biggest buzz phrases in IT today. Combined with virtualization and cloud computing, big data is a technological capability that will force data centers to significantly transform and evolve within the next five years. Similar to virtualization, big data infrastructure is unique and can create an architectural upheaval in the way systems, storage, and software infrastructure are connected and managed. Unlike previous business analytics solutions, the real-time capability of new big data solutions can provide mission critical business intelligence that can change the shape and speed of enterprise decision making forever. Hence, the way in which IT infrastructure is connected and distributed warrants a fresh and critical analysis.
Book Synopsis Signal Processing and Networking for Big Data Applications by : Zhu Han
Download or read book Signal Processing and Networking for Big Data Applications written by Zhu Han and published by Cambridge University Press. This book was released on 2017-04-27 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.
Book Synopsis Networking, Intelligent Systems and Security by : Mohamed Ben Ahmed
Download or read book Networking, Intelligent Systems and Security written by Mohamed Ben Ahmed and published by Springer Nature. This book was released on 2021-10-01 with total page 885 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers best selected research papers presented at the International Conference on Networking, Intelligent Systems and Security, held in Kenitra, Morocco, during 01–02 April 2021. The book highlights latest research and findings in the field of ICT, and it provides new solutions, efficient tools, and techniques that draw on modern technologies to increase urban services. In addition, it provides a critical overview of the status quo, shares new propositions, and outlines future perspectives in networks, smart systems, security, information technologies, and computer science.
Book Synopsis Big Data to Improve Strategic Network Planning in Airlines by : Maximilian Schosser
Download or read book Big Data to Improve Strategic Network Planning in Airlines written by Maximilian Schosser and published by Springer Nature. This book was released on 2019-09-05 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments.
