When Data and Compute Converge: Jason Hoffman at GigaOm Structure
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The document discusses the convergence of data, compute, and network technologies, highlighting their roles in the evolution of the storage industry and the increasing volume of generated data. It emphasizes the importance of various data sources, including human and machine-generated data, and predicts significant shifts in industry dynamics over the next 30 years. The focus is on understanding how these fundamentals will reshape the technology landscape and create new opportunities.
When Data and Compute Converge: Jason Hoffman at GigaOm Structure
- 1. The structure of IT all Jason A. Hoffman 1
- 2. 2
- 3. 3 System Software Company. OS. Runtime. Middleware.
- 4. Keep all the data 4 10,000,000 genomes is 20EB
- 5. In 2012 (according to IDC) 5 Storage industry shipped 16EB
- 6. In everything. In 2012. 6 All storage devices was 1600EB
- 7. 7 A single idea can consume an entire industry
- 8. I’ll even call a server a device. 8 1% in “enterprise” storage, 99% devices
- 9. Is the highest resolution data available. 9 Data from Nature
- 10. Photos. Videos. Text. Sound. 10 Data from Humans
- 11. Google + FB + Enterprise File and Mail 11 Data from Humans
- 12. Servers, Phones, Wearables, Sensors, Cars 12 Data from Machines
- 13. Our application abstraction going forward. 13 World of Devices. Network is the Backplane.
- 15. Is the Big Driver. 15 Machine Data. Machine and Human Learning.
- 16. 16 Driving What?
- 17. Industry Trends are when fundamentals converge 17 Another Convergence Event
- 18. The Three Fundamentals. 18 Data. Compute. Network.
- 19. Slogan for the PC and Internet cycle 19 The Network is the Computer
- 20. The PC meets the Internet 20 Compute and Network Convergence
- 21. The Networked Storage Era 21 Data and Network Convergence
- 22. The Next 30 years 22 Compute and Data Convergence
- 24. Will be up for grabs 24 Every profit pool that exists now