The Future of Data
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Presentation given to mixed designer/developer crowd at Refresh the Triangle - describing trends in client-side and alternative databases/storage
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The Future of Data
- 1. Ben Sco eld - @bsco eld Refresh the Triangle, Sept ’09
- 3. Type Price Location Mellow Mushroom Pizza $$ ATHD Chubby’s Tacos Tacos $ Ninth St Dos Perros Mexican $$ Downtown Revolution Fancy $$$$ Downtown Person Restaurant Ben Scofield Mellow Mushroom Ben Scofield Dos Perros David Eisinger Dos Perros Office Preference Ben Scofield Viget Labs Tacos David Eisinger Viget Labs Pizza Jess Martin Relevance Mexican
- 4. Type Price Location Mellow Mushroom Pizza $$ ATHD Chubby’s Tacos Tacos $ Ninth St Dos Perros Mexican $$ Downtown Revolution Fancy $$$$ Downtown Person Restaurant Ben Scofield =restaurants!A1 Mellow Mushroom Ben Scofield Dos Perros David Eisinger Dos Perros Office Preference Ben Scofield Viget Labs Tacos David Eisinger Viget Labs Pizza Jess Martin Relevance Mexican
- 6. the internet
- 15. localStorage.setItem('visitor', 'Ben'); var visitor = localStorage.getItem('visitor'); localStorage.removeItem('visitor');
- 26. imprint publisher title name genre issue volume nested set? storyline variant trade
- 28. traditional hyper-relational non-relational key-value relational complex simple stores databases x x x x document graph databases databases
- 29. key-value stores
- 30. Type Price Location Mellow Mushroom Pizza $$ ATHD Chubby’s Tacos Tacos $ Ninth St Dos Perros Mexican $$ Downtown Revolution Fancy $$$$ Downtown
- 33. graph databases
- 34. Type Price Location Mellow Mushroom Pizza $$ ATHD Chubby’s Tacos Tacos $ Ninth St Dos Perros Mexican $$ Downtown Revolution Fancy $$$$ Downtown Person Restaurant Ben Scofield Mellow Mushroom Ben Scofield Dos Perros David Eisinger Dos Perros Office Preference Ben Scofield Viget Labs Tacos David Eisinger Viget Labs Pizza Jess Martin Relevance Mexican
- 40. Type Price Location Mellow Mushroom Pizza $$ ATHD Chubby’s Tacos Tacos $ Ninth St Dos Perros Mexican $$ Downtown Revolution Fancy $$$$ Downtown
- 42. { ‘name’:‘Mellow Mushroom’ ‘type’:‘Pizza’ ‘price’:’$$’ ‘location’:‘ATHD’ }
- 43. { ‘title’:‘I Love Cheese’ ‘content’:‘Cheese is...’ ‘posted’:’24 Sept 2009’ ‘comments’:[{ ‘author’:‘Joe Schmoe’ ‘posted’:’24 Sept 2009’ ‘content’:‘First!’ }, {...}] }
- 49. { ‘title’:‘I Love Cheese’ ‘content’:‘Cheese is...’ ‘posted’:’24 Sept 2009’ ‘comments’:[{ ‘author’:‘Joe Schmoe’ ‘posted’:’24 Sept 2009’ ‘content’:‘First!’ }, {...}] }
- 50. Tag Tag Post General Life 1ec8264 Work Food 1ec8264 Fitness Writing bae294a Life Food Writing { ‘title’:‘I Love Cheese’ Family ‘content’:‘Cheese is...’ ‘posted’:’24 Sept 2009’ ‘comments’:[{ ‘author’:‘Joe Schmoe’ ‘posted’:’24 Sept 2009’ ‘content’:‘First!’ }, {...}] }
- 51. HTTP application application
- 52. HTTP application
- 53. application
- 54. application
- 55. Thank You ben sco eld - @bsco eld - http://www.viget.com/extend - http://www.speakerrate.com/bsco eld
Editor's Notes
- supported in FF2+, IE8, Safari, ?
- cookies for persistence since 1994 key-value stores with expiration/metadata
- cookies limited to 4k; FF DB is 5MB; IE DB is 10MB yeah, we’ll need to standardize
- dom session storage is PER-WINDOW, not just per session local storage persists across sessions
- Fluid/Prism - Site-specific browsers apps that people use, could be locally backed-up, etc.
- entire applications in JS - no need for server-side storage
- easy migration to appcelerator/phonegap
- scalability - replacing one DB with lots of smaller ones CONTINGENT PROBLEM, could be fixed
- scalability - replacing one DB with lots of smaller ones CONTINGENT PROBLEM, could be fixed
- domain modeling is a more basic issue
- lots of options - check out the scroll bar!
- least complicated domains - no relationships
- the spreadsheet metaphor breaks down for key-values
- best for flat, non-relational domains - caching, for instance can also fire up new stores for a one-level relation (users on hurl)
- most complicated domains - lots of relationships
- best for hyper-relational domains, where the relationships carry lots of data in rails, that’d be HMTs with data on the T
- between key-value and relational - one or a few simple relationships no many-to-many
- couch and mongo use JSON (or BSON) as the serialization format
- embedded documents
- best for domains where there aren’t any/many many-many relationships simulated in key-value stores with DB-per-user
- use the database that fits the domain
- spiritual sibling to polyglot programming polygotting between apps (mongo here, mysql there) is step 1; polyglotting within an app is step 2
- back to the blog example
- tags don’t fit in the document model
- baby steps: polyglotting applications and/or web services
- step two: connect to couch via HTTP directly (couch application)
- step three: polyglot away!
- step three: polyglot away!