Week 12 -No SQL

1. Kham Pha
Mental Log 09/11/2013

2. Table of contents
●
Overview of Big Data and NoSQL
●
Introduction to NoSQL
●
Features
●
NoSQL Databases
●
Example
●
Advantages & Disadvantages of NoSQL
●
NoSQL's applications
●
Summary

3. Why Big Data?
Web 2.0
The Internet of Things
Social Network

4. Why NoSQL?

5. So what is NoSQL?
●
“SELECT fun, profit FROM real_world
WHERE relational = False”.
●
Introduced in 1998.
●
Eric Evans, 2009.

6. Features
●
Schema-free
●
Easy scale
●
Simple API
●
Eventual Consistancy

7. NoSQL Databases
●
●
Over 150 NoSQL databases.
Key-Value Stores: Dynamo, Riak, Redis,
Cache, Project Voldemort,..
●
Document Stores: MongoDB, Couchbase,...
●
Column Stores: HBase, Accumulo,...
●
Graph Database: Neo4J, Allegro, Virtuoso,..

8. NoSQL Databases

9. Distributed System & CAP theorem
●
Consistency
●
Available
●
Partition tolerance

10. What does NoSQL look like?
●
●
2007
●
HUMONGOUS
●
Mong
oDB
is
Document Stores
Open source, free
●
Support for many
languages
the m
ost po
pular
in
NoSQ
L
world
!

11. Example
●
An AV store needs to store the list of customer
and order's details.
SQL
NoSQL

12. Example
Want to expand?
Make it here

13. SQL vs NoSQL
●
INSERT INTO USERS VALUES(3,5)
●
db.users.insert({a:3,b:5})
●
SELECT * FROM users
●
db.users.find()
●
SELECT * FROM users WHERE age=33
●
db.users.find({age:33})
SELECT DISTINCT last_name FROM
users
●
db.users.distince('lastname')
●
db.users.find({name:/Joe/})
●
●
●
●
SELECT * FROM users WHERE name
LIKE “%Joe%”
●
UPDATE users SET a=1 WHERE b=’q’
SELECT order_id FROM orders o,
order_line_items li WHERE
li.order_id=o.order_id AND li.sku=12345
●
db.users.update({b:’q'}, {$set:
{a:1}}, false, true)
db.orders.find({“items.sku”:1234
5},{_id:1})

14. Advantage over SQL
●
Elastic scaling
●
Big data
●
Less management
●
Economics
●
Flexible data models
●
High Performance

15. Performance

16. Performance
●
Lenovo T61.
●
Windows 7 - 64 bit.
●
SQL Server 2008 Standard
●
●
64 bit.
MongoDB 1.4.1.

17. SQL
NoSQL
Performance

18. Disadvantage of NoSQL
●
There are no “Transaction”
●
Using too much system resources
●
Potential Risk.
●
Expertise.

19. When NoSQL?
●
●
●
Cannot write SQL
Extraordinary Large Applications (search
engines, social network,…)
Tiny Applications.

20. Are people out there using it?
●
Yes
●
Facebook with Cassandra
●
Google with BigTable
●
Amazon with SimpleDB
●
Season Store, Profile Store, Mobile App,...

21. Summary
●
We have learned a lot!
●
What are BigData and NoSQL.
●
What does NoSQL look like.
●
Advantages, Disadvantages.
●
Some syntaxs of NoSQL.
●
Applications of NoSQL.

22. Thanks for your attention!