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Big Data Opportunities, Challenges and Solutions for Industry Verticals
Big Data Opportunities, Challenges and Solutions for Industry Verticals
Big Data Opportunities, Challenges and Solutions for Industry Verticals
Big Data Opportunities, Challenges and Solutions for Industry Verticals
Big Data Opportunities, Challenges and Solutions for Industry Verticals
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Big Data Opportunities, Challenges and Solutions for Industry Verticals

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Big Data Opportunities, Challenges and Solutions for Industry Verticals @ http://www.researchmoz.us/big-data-opportunities-challenges-and-solutions-for-industry-verticals-report.html

Big Data Opportunities, Challenges and Solutions for Industry Verticals @ http://www.researchmoz.us/big-data-opportunities-challenges-and-solutions-for-industry-verticals-report.html

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  • 1. Big Data Opportunities, Challenges and Solutions for Industry Verticals Big data is more than just one of the biggest buzz words in years. It represents a huge business opportunity to leverage arguably the most valuable enterprise asset: data about customers, operations, markets, competitors, and more. Organizations across nearly every industry find that they not only require to manage growing large data volumes in their real-time systems, but also to analyze that information so they can quickly make more optimal decisions to help them compete more effectively in the marketplace. Companies across a wide range of industry verticals and market segments are beginning to leverage Big Data and analytics to produce insights from hidden information floating in a sea of raw data that is otherwise too costly to process and discover. Report Benefits: Learn about Big Data solutions and strategies for enterprise Understand the challenges and benefits for enterprise Big Data Identify the market opportunities for Big Data in industry verticals Learn about Big Data and analytics vendor solutions and strategies Target Audience: Big Data companies Governmental organizations Telecommunications companies Analytics and data reporting companies Data storage and processing companies Research and development organizations Cloud infrastructure and service providers All industry verticals and market segments Companies in Report: Action Aetna Amazon Amazon Web Services Apache apigee Bloomberg BloomReach Capgemini Computer Science Corp Craigslist Data Mining Research Dataguise Datameer Ebizq EMC Facebook Forbes Forrester General Electric Globe Telecom Google HP IBM IDC Instagram Intel Ironside LinkedIn Mashery McKinsey Global Microsoft Oracle Orkut PadMapper Pinterest Programmable Web RainStor Riak SAS SpotFire Tata Consultancy Services Twitter Walmart Watalon Wikipedia Yahoo table Of Contents: 1 Executive Summary 6 2 What Is Big Data 6 2.1 Breaking Down Big Data 7 2.1.1 Internal Data 8 2.1.2 Structured External Data 8 2.1.3 Unstructured External Data 8 2.2 The Important 'v's Of Big Data 9 2.3 The Big Deal About Big Data 11 2.3.1 Exponential Growth Of Big Data 11 2.3.2 What The Numbers Mean 12 2.3.3 The Chance For Companies To Thrive 12 2.4 How Big Is Big Data? 12 2.5 What Data Is Meaningful? 14 Big Data Opportunities, Challenges and Solutions for Industry Verticals
  • 2. 2.5.1 Operations Management Data 14 2.5.2 Sales And Marketing Data 15 2.5.3 Accounting And Finance Data 15 2.6 Improved Technologies To Manage Data 15 2.6.1 Analytic Relational Systems 15 2.6.2 Non-relational Systems 15 3 Big Problems To Solve 16 3.1 Better Investment Decision And Operational Changes 16 3.2 Real Time Customization 17 3.3 Improved Performance And Risk Management 17 3.4 New Business Model 18 4 Uses For Big Data 18 5 Challenges In Big Data Analysis 20 5.1 Heterogeneity And Incompleteness 21 5.2 Scale 22 5.3 Timeliness 22 5.4 Privacy 23 5.5 Human Collaboration 23 6 Big Data Vs. Api Strategies 24 6.1 Structured And Unstructured Solutions: Apis 24 7 Big Data Ecosystem 26 7.1 Big Data Landscape 28 8 Big Data Architecture 28 8.1 Traditional Information Architecture Capabilities 29 8.2 Adding Big Data Capabilities 29 9 Big Data Sources: What And How Much? 31 9.1 Where The Data Is Getting Generated? 33 Big Data Opportunities, Challenges and Solutions for Industry Verticals
  • 3. 10 Big Data Generation And Analytics 36 10.1 Predictive Analytics 37 10.2 Data Scientists 38 10.3 Big Data Technologies And Techniques 39 10.3.1 Hadoop 39 10.3.1.1 Problems Solved By Hadoop 40 10.3.1.2 Hadoop Architecture 40 10.3.1.3 Cost Benefits Of Hadoop 40 10.3.2 Hadoop And Spark 41 10.3.3 Hadoop And Data Security 41 10.3.3.1 Hadoop's Architecture Presents Unique Security Issues 41 10.3.3.2 Deploy A Purpose-built Security Solution For Hadoop And Big Data 42 10.3.3 Mapreduce 42 10.3.3.1 Features 43 10.3.3.2 When To Use Mapreduce 43 10.3.3.3 When Not To Use Mapreduce 43 10.3.3.4 How It Works 44 10.4 Data Mining 44 10.5 Crm Systems 44 10.6 Social Media 45 10.6.1 Ways To Tap Social Media 46 10.6.1.1 Google Trends 46 10.6.1.2 Apis And Mashups 46 10.6.1.3 Communicate Intelligence With Data Visualization Tools 46 11 Data Management 46 11.1 Acquire Big Data 46 11.2 Organize Big Data 47 11.3 Analyze Big Data 47 11.4 Interpretation 48 12 Big Data Standardization 48 12.1 Alliance For Telecommunication Industry Solutions 50 12.1.1 Business Challenges For Csps 50 12.1.2 Promise Of Big Data For Telecom 51 12.1.3 Catch Problem Spots Before They Affect Service. 51 12.1.4 Put Big Data To Use Immediately 51 12.1.5 Give Internal And External Teams The Tools They Need 51 13 Major Service Providers 51 Big Data Opportunities, Challenges and Solutions for Industry Verticals
  • 4. 13.1 Ibm 52 13.2 Datameer 54 13.3 Amazon Web Services 56 13.4 Hp- Big Data 58 13.5 Spotfire 60 13.6 Intel 62 13.7 Emc 64 14 Big Data In Industry Verticals 67 14.1 Finance And Accounting 67 14.2 Retail And Crm 69 14.3 Government And Defense 71 14.5 Healthcare 72 14.6 Supply Chain Management 73 14.7 Telecommunication 74 15 Summary And Conclusion 75 16. Appendix 92 16.1 Deeper Dive Into Big Data In Retail 92 16.1.1 Retail Merchant Challenges 92 16.1.2 Big Data In Retail 94 16.1.3 Big Data In Retail Business Case 99 16.1.4 Retailers Business Models, Companies, And Solutions 105 16.1.5 Supply Chain Solutions 111 16.2 Deeper Dive Into Big Data In Healthcare 113 16.2.1 Big Issues With Healthcare 113 16.2.2 Healthcare Stakeholders 114 16.2.3 Opportunities And Challenges 116 16.3 Big Data Industry Verticals Vs. Functional Areas 119 16.3.1 Industry Verticals 119 16.3.2 Functional Areas 119 16.3.3 Big Data Functional Area Forecast 2013 - 2019 120 ResearchMoz(http://www.researchmoz.us/) is the one stop online destination to find and buy market research reports & Industry Analysis. We fulfill all your research needs spanning across industry verticals with our huge collection of market research reports. We provide our services to all sizes of organizations and across all industry verticals and markets. Our Research Coordinators have in-depth knowledge of reports as well as publishers and will assist you in making an informed decision by giving you unbiased and deep insights on which reports will satisfy your needs at the best price. Big Data Opportunities, Challenges and Solutions for Industry Verticals
  • 5. Contact: M/s Sheela, 90 State Street, Suite 700, Albany NY - 12207 United States Tel: +1-518-618-1030 USA - Canada Toll Free 866-997-4948 Email: sales@researchmoz.us Website: http://www.researchmoz.us/ Big Data Opportunities, Challenges and Solutions for Industry Verticals

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