Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data

Written By Paul Zikopoulos
Understanding Big Data  Analytics for Enterprise Class Hadoop and Streaming Data
  • Publsiher : McGraw Hill Professional
  • Release : 22 October 2011
  • ISBN : 0071790543
  • Pages : 176 pages
  • Rating : 5/5 from 1 reviews
GET THIS BOOKUnderstanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data


Download or read book entitled Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data by author: Paul Zikopoulos which was release on 22 October 2011 and published by McGraw Hill Professional with total page 176 pages . This book available in PDF, EPUB and Kindle Format. Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data

Understanding Big Data  Analytics for Enterprise Class Hadoop and Streaming Data
  • Author : Paul Zikopoulos,Chris Eaton
  • Publisher : McGraw Hill Professional
  • Release Date : 2011-10-22
  • Total pages : 176
  • ISBN : 0071790543
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Summary : Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The ...

Internet of Things and Big Data Analytics Toward Next Generation Intelligence

Internet of Things and Big Data Analytics Toward Next Generation Intelligence
  • Author : Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
  • Publisher : Springer
  • Release Date : 2017-08-14
  • Total pages : 549
  • ISBN : 0071790543
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Summary : This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data ...

Effective Big Data Management and Opportunities for Implementation

Effective Big Data Management and Opportunities for Implementation
  • Author : Singh, Manoj Kumar,G., Dileep Kumar
  • Publisher : IGI Global
  • Release Date : 2016-06-20
  • Total pages : 324
  • ISBN : 0071790543
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Summary : “Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and ...

Managing Big Data Integration in the Public Sector

Managing Big Data Integration in the Public Sector
  • Author : Aggarwal, Anil
  • Publisher : IGI Global
  • Release Date : 2015-11-12
  • Total pages : 338
  • ISBN : 0071790543
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Summary : The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a better understanding of how to collect and manage such large data sets, it becomes increasingly difficult to successfully ...

Data Mining

Data Mining
  • Author : Mehmed Kantardzic
  • Publisher : John Wiley & Sons
  • Release Date : 2019-11-12
  • Total pages : 672
  • ISBN : 0071790543
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Summary : Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such ...

Harness the Power of Big Data The IBM Big Data Platform

Harness the Power of Big Data The IBM Big Data Platform
  • Author : Paul Zikopoulos,Dirk deRoos,Krishnan Parasuraman,Thomas Deutsch,James Giles,David Corrigan
  • Publisher : McGraw Hill Professional
  • Release Date : 2012-11-08
  • Total pages : 280
  • ISBN : 0071790543
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Summary : Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether ...

Apache Spark 2 x Machine Learning Cookbook

Apache Spark 2 x Machine Learning Cookbook
  • Author : Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-09-22
  • Total pages : 666
  • ISBN : 0071790543
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Summary : Simplify machine learning model implementations with Spark About This Book Solve the day-to-day problems of data science with Spark This unique cookbook consists of exciting and intuitive numerical recipes Optimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your data Who This Book Is For This book is for ...

Mastering Machine Learning with Spark 2 x

Mastering Machine Learning with Spark 2 x
  • Author : Alex Tellez,Max Pumperla,Michal Malohlava
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-08-31
  • Total pages : 340
  • ISBN : 0071790543
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Summary : Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial About This Book Process and analyze big data in a distributed and scalable way Write sophisticated Spark pipelines that incorporate elaborate extraction Build and use regression models to predict flight delays ...

Recent Advances in Information Systems and Technologies

Recent Advances in Information Systems and Technologies
  • Author : Álvaro Rocha,Ana Maria Correia,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo
  • Publisher : Springer
  • Release Date : 2017-03-28
  • Total pages : 1054
  • ISBN : 0071790543
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Summary : This book presents a selection of papers from the 2017 World Conference on Information Systems and Technologies (WorldCIST'17), held between the 11st and 13th of April 2017 at Porto Santo Island, Madeira, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, ...