RedMonk Analytics: Why, How and What
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RedMonk Analytics: Why, How and What

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RedMonk Analytics: Why, How and What Presentation Transcript

  • 1. RedMonk Analytics:Why, How and What
  • 2. WHY
  • 3. What IT Decision Makers Think is Being Used CIOWhat Developers Want to Use What is Actually Being Used DEVELOPERS
  • 4. HOW
  • 5. OUR DATA, FIRST
  • 6. THEN, OTHERS’
  • 7. THE THREE STAGES OF DATA ACCEPTANCE
  • 8. 1DENIAL
  • 9. “I’m sure that we don’thave any useful data to share.”
  • 10. 2ACCEPTANCE
  • 11. “Oh, right, data like whichbuilds people download?Yeah, we actually do have that.”
  • 12. 3WOW
  • 13. “Our own data can tell us WHAT?”
  • 14. WHAT
  • 15. RedMonk: The Rise of Chrome
  • 16. RedMonk: What Devs Ask Us (Past 30)1.  Mongodb vs MySQL2.  Facebook PHP HipHop Cassandra3.  Importance of Software4.  Cloud Certification5.  OpenShift6.  DynamoDB7.  Java is Dead8.  Is Java Dead9.  Facebook Cassandra10.  Monkigras
  • 17. RedMonk: What Devs Ask Us (Since 1.10)1.  Node.js2.  Nodejs3.  Open Source CMDB4.  MongoDB vs MySQL5.  OpenShift6.  SaaS Cloud Computing7.  CMDB Open Source8.  Facebook Cassandra9.  Hadoop Usage10.  Amazon RDS
  • 18. Black Duck: The Rise of GitHub
  • 19. Black Duck: The Rise of JavaScript
  • 20. AppFog: Deal Size vs Volume Normalized Total Deals Normalized Deal Size 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010Source: National Venture Capital Association and the UNH Center for Venture ResearchCredit: Chris Tacy
  • 21. LinkedIn: Community Growth
  • 22. GitHub: Most Popular Languages 1.  JavaScript2.  Ruby3.  Python4.  Shell5.  Java
  • 23. GitHub: Most Popular Language Trends
  • 24. DATA IS YOUR FRIEND