Presentasi Robin Shihab di Bancakan 2.0 3rd Meetup, Jogjakarta, 30 April 2010

2. NoSQL
Muqorrobien MF
robin@nosql.asia

4. What is NoSQL?

5. What is NoSQL?
Key-value pair, non-relational, and
schema-less data storage engine.

6. Why use NoSQL

7. Why use NoSQL
Easy to scale.

8. Why use NoSQL
Easy to scale.
Lightweight.

9. Why use NoSQL
Easy to scale.
Lightweight.
Robust with high-performance data storage
engine.

10. Why use NoSQL
Easy to scale.
Lightweight.
Robust with high-performance data storage
engine.
Anti SQL Injection.

11. Why use NoSQL
Easy to scale.
Lightweight.
Robust with high-performance data storage
engine.
Anti SQL Injection.
Scalability by design.

12. 3 NoSQL Myths

14. 1. Hard to understand

15. 1. Hard to understand
SQL Mindset

16. 1. Hard to understand
SQL Mindset

17. 2. Hard to handle relation

18. 2. Hard to handle relation

19. 2. Hard to handle relation

20. 2. Hard to handle relation
One to one relation.

21. 2. Hard to handle relation
One to one relation.
One to many relation.

22. 2. Hard to handle relation
One to one relation.
One to many relation.
Many to many relation.

23. 3. NoSQL = NoTransaction

24. 3. NoSQL = NoTransaction
NoSQL = NoTransaction

25. 3. NoSQL = NoTransaction
NoSQL = NoTransaction

26. 3. NoSQL = NoTransaction

27. 3. NoSQL = NoTransaction
GT.M

28. 3. NoSQL = NoTransaction
GT.M

29. 3. NoSQL = NoTransaction
GT.M
Is a NoSQL Database that provide
extreme transaction.

30. 3. NoSQL = NoTransaction
GT.M
World’s largest core banking system!

31. 3. NoSQL = NoTransaction
http://fis-gtm.com

32. Most Marketplace
problems

33. Most Marketplace
problems
Polymorphism Items

34. Most Marketplace
problems
Search engine performance

37. What is MongoDB?

38. What is MongoDB?
Is a scalable, high-performance, open source,
document-oriented persistent storage engine,
where bridges the gap between key-value stores
and traditional RDBMS systems.

39. Why MongoDB?

40. Why MongoDB?
Robust as key-value database
Fast as Memcached
but rich and deep functionality as RDBMS.

41. Scalability & Performance Why MongoDB?
Depth of Functionality

42. Scalability & Performance Why MongoDB?
Memcached
Depth of Functionality

43. Scalability & Performance Why MongoDB?
Memcached
RDBMS
Depth of Functionality

44. Scalability & Performance Why MongoDB?
Memcached
Key-value
stores
RDBMS
Depth of Functionality

45. Scalability & Performance Why MongoDB?
Memcached
Key-value MongoDB
stores
RDBMS
Depth of Functionality

46. Why MongoDB?

47. Why MongoDB?
Easy to maintain and scale

48. Why MongoDB?

49. Why MongoDB?
Support map-reduce functionality

50. Why MongoDB?

51. Why MongoDB?
MAP()

52. Why MongoDB?
MAP() REDUCE()

53. Why MongoDB?
result = reduce(map(distributed_data))

54. Why MongoDB?

55. Why MongoDB?
Faster development progress

56. Why MongoDB?
http://github.com/mongodb/

57. Implementation

58. Object Relational Mapping (ORM)

59. Object Relational Mapping (ORM)

60. Object Relational Mapping (ORM)
Python:

61. Object Relational Mapping (ORM)
Python:
FMA (Full Mongo Alchemist)
http://github.com/anvie/fullmongoalchemist

62. Object Relational Mapping (ORM)
Python:
FMA (Full Mongo Alchemist)
http://github.com/anvie/fullmongoalchemist
Mongo Engine
http://mongoengine.org

63. FINISH

64. Reference:
•http://www.mongodb.org
•http://www.github.com
•http://www.ansav.com
•http://www.nosql.asia