Your SlideShare is downloading. ×
0
Cloudant
Cloudant
Cloudant
Cloudant
Cloudant
Cloudant
Cloudant
Cloudant
Cloudant
Cloudant
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Cloudant

447

Published on

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
447
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • - put examples on this,e.g. disconnected, etc - mention ‘to the N’ capacity
  • Transcript

    • 1. <ul><li>Mike Miller </li></ul><ul><li>Cofounder, Chief Scientist </li></ul>Integrated Data Management, Search, and Analytics
    • 2. Our background <ul><li>Goal: understand universe at most fundamental of levels </li></ul><ul><li>27 km, 100B+ sensors, 100+ PB/sec raw </li></ul><ul><li>Architected, commissioned global data infrastructure </li></ul>Large Hadron Collider
    • 3. The problem <ul><li>150+ Data Centers </li></ul><ul><li>30+ countries </li></ul><ul><li>150k+ cores </li></ul>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 <ul><li>Scalable : volume, rate, concurrency </li></ul><ul><li>Distributed : within and between data centers. Offline devices. </li></ul><ul><li>Flexible : data format evolves. structured and unstructured </li></ul><ul><li>Integrated : remove artificial boundaries between storage, analyses, and search </li></ul>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 <ul><li>Distributed Analytics </li></ul><ul><li>parallel algorithms </li></ul><ul><li>dynamically provisioned resources </li></ul><ul><li>in-DB map reduce </li></ul><ul><li>multi-variate analysis </li></ul><ul><li>machine learning </li></ul><ul><li>text and metadata search </li></ul><ul><li>artificial intellegence </li></ul>‘ Node’ <ul><li>Networked Computing Element </li></ul><ul><li>commodity servers </li></ul><ul><li>mobile devices </li></ul><ul><li>switches </li></ul><ul><li>heterogeneous hardware and OS </li></ul>write record Horizontally Scalable DB filtered replication <ul><li>Secondary </li></ul><ul><li>Deployment </li></ul><ul><li>disaster recovery </li></ul><ul><li>geographic distributed access </li></ul><ul><li>filtered data </li></ul>disconnected devices read results Edge Database Cluster results at the edge
    • 6. History and team <ul><li>5+ years as a team (MIT/Cloudant) </li></ul><ul><li>Broad expertise in sensor data, multivariate analyses, distributed systems, global data management </li></ul><ul><li>Record of success in great challenges </li></ul><ul><li>Bring new vision to the problem space </li></ul><ul><li>Series A Dec. 2008 </li></ul>
    • 7. go-to-market <ul><li>Hosted self-signup service : Amazon EC2. Target rapidly growing data-driven companies. Consumption based pricing model. </li></ul><ul><li>Dedicated Hosting : Cloud providers and/or private data center. </li></ul><ul><li>Enterprise package : software, services, support at the largest of scales. </li></ul>
    • 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 <ul><li>Core technology largely established. </li></ul><ul><li>Runway through 2010 </li></ul><ul><li>Aggressively scale current offering for small-medium businesses </li></ul><ul><li>Leverage key strengths to expand into enterprise markets. Energy, clean tech and smart grid are excellent fits </li></ul><ul><li>Our ask: help finding the right problem set in the enterprise </li></ul>
    • 10. <ul><li>Changing the way you manage, share, and analyze data </li></ul>Integrated Data Management, Search, and Analytics

    ×