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  • - put examples on this,e.g. disconnected, etc - mention ‘to the N’ capacity

Transcript

  • 1.
    • Mike Miller
    • Cofounder, Chief Scientist
    Integrated Data Management, Search, and Analytics
  • 2. Our background
    • Goal: understand universe at most fundamental of levels
    • 27 km, 100B+ sensors, 100+ PB/sec raw
    • Architected, commissioned global data infrastructure
    Large Hadron Collider
  • 3. The problem
    • 150+ Data Centers
    • 30+ countries
    • 150k+ cores
    http://www.tgdaily.com/hardware-features/39620-lhc-distributed-supercomputer-launches-as-worlds-largest-computing-grid Text Things break. Distribution/access must be transparent. Data is king!
  • 4. What’s needed
    • Scalable : volume, rate, concurrency
    • Distributed : within and between data centers. Offline devices.
    • Flexible : data format evolves. structured and unstructured
    • Integrated : remove artificial boundaries between storage, analyses, and search
    Applies to businesses from the smallest to largest of scales dbcore storage Analytics Search Other API DSL Visualization
  • 5. How: send Compute to the data
    • Distributed Analytics
    • parallel algorithms
    • dynamically provisioned resources
    • in-DB map reduce
    • multi-variate analysis
    • machine learning
    • text and metadata search
    • artificial intellegence
    ‘ Node’
    • Networked Computing Element
    • commodity servers
    • mobile devices
    • switches
    • heterogeneous hardware and OS
    write record Horizontally Scalable DB filtered replication
    • Secondary
    • Deployment
    • disaster recovery
    • geographic distributed access
    • filtered data
    disconnected devices read results Edge Database Cluster results at the edge
  • 6. History and team
    • 5+ years as a team (MIT/Cloudant)
    • Broad expertise in sensor data, multivariate analyses, distributed systems, global data management
    • Record of success in great challenges
    • Bring new vision to the problem space
    • Series A Dec. 2008
  • 7. go-to-market
    • Hosted self-signup service : Amazon EC2. Target rapidly growing data-driven companies. Consumption based pricing model.
    • Dedicated Hosting : Cloud providers and/or private data center.
    • Enterprise package : software, services, support at the largest of scales.
  • 8. From development to revenue Real-Time Search and Data Aggregation Advertising and Clickstream Analytics Web Applications & Games Cloud Configuration System Integration 400+ beta users. 1B+ documents. ~500M transactions / day
  • 9. Going forward
    • Core technology largely established.
    • Runway through 2010
    • Aggressively scale current offering for small-medium businesses
    • Leverage key strengths to expand into enterprise markets. Energy, clean tech and smart grid are excellent fits
    • Our ask: help finding the right problem set in the enterprise
  • 10.
    • Changing the way you manage, share, and analyze data
    Integrated Data Management, Search, and Analytics