EMA Analyst Slides: 2013 Big Data Research Results

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Big Data has moved beyond being just a buzzword. Organizations are operationalizing various Big Data technologies to answer critical business questions and power sophisticated workloads.

Building on the success of their 2012 “Big Data Comes of Age” research report, EMA VP of Research, Shawn Rogers, EMA Senior Analyst, John Myers, and 9sight Consulting Founder and Principal, Dr. Barry Devlin, will reveal their latest big data research findings during this informative Webinar.

Attendees will learn not just the what's of Big Data technologies but also the why’s of use cases, implementation strategies and technology choices, as well as discover:

>>Most popular use cases for big data based on nearly 600 projects reviewed in this research

>>Which Hadoop distributions are gaining traction

>>The technical and business-driven-challenges for Big Data

>>Most popular data sources for Big Data

>>How organizations are continuing the trend of implementing the EMA Hybrid Data Ecosystem (HDE) in association with their Big Data initiatives

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EMA Analyst Slides: 2013 Big Data Research Results

  1. 1. Operationalizing the Buzz: Big Data 2013 A Review of EMA / 9sight Research Shawn P. Rogers VP of Research EMA John Myers Senior Analyst EMA Dr. Barry Devlin Founder & Principal 9sight Consulting © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  2. 2. Today’s Presenters 2 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting Shawn Rogers, VP of Research, EMA Shawn has more than 19 years of hands-on IT experience, with a focus on Internet- enabled technology. In 2004 he co-founded the BeyeNETWORK and held the position of Executive VP and Editorial Director. Shawn guided the company's international growth strategy and helped the BeyeNETWORK grow to 18 Web sites around the world, making it the largest and most read community covering the business intelligence, data warehousing, performance management and data integration space. John Myers, Senior Analyst, EMA John has over 10 years of experience working in areas related to business analytics in professional services consulting and product development roles. Additionally, John helps organizations solve their business analytics problems, whether they relate to operational platforms – such as customer care or billing – or applied analytical applications – such as revenue assurance or fraud management. Dr. Barry Devlin, Founder & Principal, 9sight Consulting Barry has 30 years of experience in the IT industry, previously with IBM, as an architect, consultant, manager and software evangelist. He is a founder of the data warehousing industry and among the foremost authorities worldwide on business intelligence. He is a widely respected consultant, lecturer and author of “Data Warehouse--from Architecture to Implementation.”
  3. 3. Logistics for Today’s Webinar 3 • An archived version of the event recording will be available at www.enterprisemanagement.com • Log questions in the Q&A panel located on the lower right corner of your screen • Questions will be addressed during the Q&A session of the event Questions Event recording © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  4. 4. Research Sponsors 4 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  5. 5. Agenda • Research Highlights • Respondents • Projects • Big Data Requirements • Speed of Response • Load • Economics • Complex Workload • Structure • Hybrid Data Ecosystem • Question and Answer 5 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  6. 6. Research Methodology • Highly Qualified • Trends year over year • Global in Coverage • Balanced – Business and IT • Real World Project Insights • Almost 600 active Big Data projects • Sponsors, workloads and more 6 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  7. 7. 2013 Research Highlights 7 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  8. 8. Key messages • Clear move from market hype to real implementation • Maturing of solutions • More projects in production • Machine-generated data shows significant growth 8 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  9. 9. Two thirds of respondents have more than one Big Data project. 9 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  10. 10. In operation grows from 36% to 53% 10 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  11. 11. The REAL Big Data Logical Architecture • REAL = Realistic, Extensible, Actionable, Labile • Three interconnected pillars of information • Messages, events, measures and transactions from real world • Metadata = context-setting information • Adaptive information processing • Instantiation, assimilation and reification – ETL, ELT, Virtualization • See “Business unIntelligence – Insight and Innovation Beyond Analytics and Big Data” http://bit.ly/BunI-Technics EventsMeasures Messages Transactions Reification Utilization Instantiation Human- sourced (information) Machine- generated (data) Process- mediated (data) Context-setting (information) Assimilation Transactional (data) 11 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  12. 12. Machine-generated data jumps 14% 12 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  13. 13. Survey Respondents 13 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  14. 14. Respondent Perception of Corporate Innovation 14 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  15. 15. Innovators around the World Slide 15 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  16. 16. Big Data Projects 16 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  17. 17. Project Sponsors 17 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  18. 18. Business Users Take the Lead 18 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  19. 19. Drivers of Big Data 19 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  20. 20. 20 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  21. 21. Importance of Data in Business 21 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  22. 22. Technical Motivators 22 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  23. 23. 23 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  24. 24. Big Data Size for 2013 5.5-100TB 1.1TB-2PB 30% indicated 11-20% of overall data management was allotted to Big Data initiatives Most Common Response Majority Response 24 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  25. 25. Big Data Management Size for 2014 6-120TB 1.2TB-2.8PB Most Common Response Majority Response 31% of Respondents indicated 11-20% growth for 2014 25 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  26. 26. 26 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  27. 27. Big Data Budgets for 2013 $550k-$5m $10k-$20m Most Common Response Majority Response 40% of Respondents indicated 11-20% of overall IT Budgets were assigned to Big Data 27 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  28. 28. Who’s paying? $88k-$1.25m 49% of Respondents indicated non IT sources of Big Data Budget funding 28 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  29. 29. 29 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  30. 30. Big Data Platforms have Multiple Uses 30 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  31. 31. Increasing Workloads 31 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  32. 32. 32 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  33. 33. Expanding Beyond the Wall: Rome 33 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  34. 34. Expanding Beyond the Wall: When and Where to Apply Schemas 34 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  35. 35. Hybrid Data Ecosystem 35 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  36. 36. Hybrid Data Ecosystem 2012: Creating a New Nucleus 36 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  37. 37. Hybrid Data Ecosystem 2013: Distribution of Platforms One Platform, 28.2% Two Platforms, 32.1% Three Platforms, 27.8% Four Platforms, 4.3% Five Platforms, 3.5% Six Platforms, 1.5% Seven Platforms, 0.4% Eight Platforms, 2.3% Sample Size = 259 37 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  38. 38. Hybrid Data Ecosystem 2013: From Requirements to Consumers
  39. 39. Question and Answer 39 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
  40. 40. Question and Answer: Please Log Questions in the Q&A Panel Get the Big Data Operationalizing the Buzz Research Report at https://www.enterprisemanagement. com/research Available October 21, 2013! 40 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

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