Introduction about BigData and MongoDB

1. Big Data & MongoDB
Reporter: Hung Teacher: Khoan

2. 01 What is Big Data?
Advantages and Disadvantages03
04 What is MongoDB?
Comparing MongoDB with MySQL05
CONTENTS
Characteristics Of Big Data02
Advantages and Disadvantages06

3. What is Big Data?
01

4. 01 What is Big Data?

5. Big Data
Big Data is also data
but with a huge size.
Big Data is a term used
to describe a collection
of data that is huge in
size and yet growing
exponentially with
time.
01 What is Big Data?

6. 01 Why Big Data Keeps Getting Bigger?

7. Characteristics Of Big Data
02

8. 02 Characteristics Of Big Data

9. VolumeVolume refers to the quantity of data generated
and stored by a Big Data system.
The data that is generated is completely heterogeneous in
the sense that it could be in various formats like video, text,
database, numeric, sensor data and so on
The rate at which new data is being generated all thanks to our
dependence on the internet, sensors, machine-to-machine
data is also important to parse Big Data in a timely manner.
Knowing whether the data that is available is coming from a
credible source is of utmost importance before deciphering and
implementing Big Data for business needs.
Variety
Velocity
Veracity
9
02 Characteristics Of Big Data

10. Advantages and Disadvantages
03

11.  Increased productivity
 Reduce costs
 Increased revenue
 Improved customer service
11
03 Advantages of Big Data

12.  Cybersecurity risks
 Hardware needs
 Costs
12
03 Disadvantages of Big Data

13. What is MongoDB?
04

14. 14
04 What is Mongo?

15. It’s an open source NoSQL database,
developed for high performance, high
availability, and easy scalability. Collection
and document are the two primarily used
terms/concepts in MongoDB.
These are a NoSQL database. It uses BSON
format for document storage and
communication with its client. BSON is a
binary form of JSON.
15
04 What is Mongo?

16. 16
04 What is Mongo?

17. MongoDB Database Collections Document
Can contain one or more
collections
Can contain differnt types
of document(object)
Key value pair list of
array or nested document
04 Concepts in MongoDB

18. Comparing MongoDB with MySQL
05

19. 19
05 Comparing MongoDB with MySQL

20. 20
05 Comparing MongoDB with MySQL

21. 21
05 Comparing MongoDB with MySQL
MySQL MongoDB
INSERT

22. 22
05 Comparing MongoDB with MySQL
MySQL MongoDB

23. 23
05 Comparing MongoDB with MySQL
MySQL MongoDB
UPDATE

24. 24
05 Comparing MongoDB with MySQL
MySQL MongoDB
DELETE

25. Advantages and Disadvantages
06

26. Advantages
1 2
5
4
Easy on Use
This easy to install and setup
No Complex Joins
MongoDB is based on BSON format – key-
value pair, hence no complex joins here.
Agility
It’s exceptionally easy to add or change
fields in MongoDB.
Many Supported Platform
MongoDB supports wide varieties of
platforms: Windows, Ubuntu, Debian,
Solaris, macOS.
06 Advantages of MongoDB
Due to its nature of using the internal
memory for the storage, it provides
fast access to the data.
Faster Access to Data
3

27. Disadvantages
1
2Joins not Supported
MongoDB doesn’t support joins
like a relational database.
High Memory Usage
Due to no functionality of joins,
there is data redundancy. This
results in increasing unnecessary
usage of memory.
Limited Data Size
You can have document size, not more
than 16MB.
06 Disadvantages of MongoDB
3

28. Thank you
for listening
Reporter: Hung Nguyen
Time : 30 minutes