What is Nosql

1. NoSQL & MongoDBNoSQL & MongoDB
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2. Overview
What is RDBMS
ACID and CAP
What is NoSQL
Types of NoSql DB
Introduction of MongoDB
Demo
Conclusion
Questions

3. Well Organised Collections of data.Well Organised Collections of data.
What is Database?What is Database?

4. An interface between user and database.An interface between user and database.
It is a collection of programs that enables you toIt is a collection of programs that enables you to
store, modify and extract information fromstore, modify and extract information from
databases.databases.
What is DBMS?What is DBMS?

5. Determines logical structure of dataDetermines logical structure of data
What is Database Model?What is Database Model?

6. Hierarchical ModelHierarchical Model
Network ModelNetwork Model
Relational ModelRelational Model
ER ModelER Model
Document ModelDocument Model
Object ModelObject Model
Various Data ModelsVarious Data Models

7. RDBMSRDBMS
(Relational DataBase Management System)(Relational DataBase Management System)
RDBMS is a database management systemdatabase management system based on
relational model defined by E.F.Codd.
Data is stored in the form of rows and columns in a
table and relations among tables are also stored in the
form of the table.

8. SQL
SQL is a most popular query language on RDBMS.

9. Features of RDBMS
1. ACID is a set of properties that guarantees that DB
transactions are processed reliably.
Atomicity: Either all or none.
Consistency: Data is always accurate.
Isolation: No interfere with other.
Durability: Commit is persistent.
2. Very rich set of query and functionality.

10. RDBMS is solving every
problem

11. RDBMS is best

12. Data Tsunami

13. Started increasing the capacity of
RDBMS Severs for scalability.

14. RDBMS is not working

15. Solutions they tried

16. Problems in RDBMS

RDBMS uses centalized storage not distributed.

ACID doesn't provide scalability for distributed
system.

It is only for structured data.

17. Solutions
Need Distributed System and Distributed DB.

18. Started developing their own DB
that fulfils their requirements.

19. CAP Thorem
Consistency: Data is same across cluster.
Availability: All nodes are ready for read and write
operations always.
Partition Tolerance: Cluster is working perfectly
even if there is a partition in nodes.

21. Partition tolerance is must for
scalability and choose any one
between Consistency &
Availability

22. NoSQL
A generic term for all DB that do not
follow Relational model.

23. Design Goals of NoSQL DB
Designedforbetterscalabilityandperformancebygivingupsomethingliketransaction.
Notalldatacanfitinrowandcolumnformat.
NotdesignedtoreplaceSQL.

25. Sql vs Nosql

26. What we are giving up
 Join
 Group By
 Order By
 ACID transactions

27. NoSQL DB Types
Key-Value
Column Store
Document Store
Graph Based

32. Column
(HBASE)
Column
(HBASE)
Graph
(Neo4J)
Graph
(Neo4J)
Key-value
(Memecache)
Key-value
(Memecache)
Document
(MongoDB)
Document
(MongoDB)
RDBMS
(MySql)
RDBMS
(MySql)

34. MongoDB
(from "humongous")

35. Contains both Equally

36. MongoDB Document

41. terminology

42. MongoDB
Application
(In more
than 12
Languages)
MongoDB
Driver
MongoDB Drivers

43. Real Life Use Case

44. Aadhar Card
India’s Unique Identification
project, aka Aadhar, is the
world’s biggest biometrics
database. Aadhar is in the
process of capturing
demographic and biometric data
of over 1.2 billion residents.
Aadhar has used MongoDB as
one of its database to store this
huge amount of data.

45. ebay is an American multinational internet
consumer-to-consumer corporation,
headquartered in San Jose.
eBay has a number of projects running on
MongoDB for search suggestions, metadata
storage, cloud management and merchandizing
categorization.

46. Conclusion
RDBMS is a tool for solving ACID problem.
1. When data validity is super important.
2. When you want rich query like join.
NoSQL is good for data availability and scalabilityscalability.
1. when its important to have fast data than right data.
2. When you need to scale on the change of requirement.
NoSQL is not a replacement of SQL and vice versa.
Use them in combination for best result.
Pick the right Tool for Job.

47. References
http://www.mongodb.org/
http://en.wikipedia.org/wiki/NoSQL
http://en.wikipedia.org/wiki/Relational_database_managem