This document discusses big data, defining it as large and complex data sets that cannot be processed with traditional methods. It outlines the three main characteristics of big data: volume, referring to the large quantity of data; velocity, the speed at which new data is generated and processed; and variety, the different types of structured and unstructured data. Examples are given of the vast amounts of data generated by companies like Walmart, Facebook, and Boeing. The advantages of big data are also mentioned, such as cost reductions and new products/services from insights in the data. Finally, some common software tools for big data are listed.

1. Big Data
By: Ahmed Mokhtar Ali

2.  Introduction.
 What is Big Data?
 Three Characteristics of Big
Data.
 Why big data .
 Advantage & Disadvantage.
 Softwares.

3. INTRODUCTION
 Big data burst upon the scene in the first
decade of the 21st century.
 The first organizations to embrace it were
online and startup firms. Firms like Google,
eBay, LinkedIn, and Facebook were built
around big data from the beginning.
 Like many new information technologies, big
data can bring about dramatic cost reductions,
substantial improvements in the time required
to perform a computing task, or new product
and service offerings.

4. What is the BIG DATA?
Big data is a broad term for data sets so
large or complex that traditional data
processing applications are inadequate.
Challenges include analysis, capture,
search, sharing, storage, transfer,
visualization, querying and information
privacy.

5. What is the BIG DATA?
o Walmart handles more than 1 million
customer transactions every hour.
o Facebook handles 40 billion photos from its
user base.

7. 1st Character of Big Data
Volume

8. 1st Character of Big Data
Volume
 The quantity of generated and stored data.
 A typical PC might have had 10 gigabytes of
storage in 2000.
 Today, Facebook ingests 500 terabytes of
new data every day.
 Boeing 737 will generate 240 terabytes of
flight data during a single flight across the
US.

10. 2nd Character of Big Data
Velocity

11. 2nd Character of Big Data
Velocity
 In this context, the speed at which the data is
generated and processed to meet the
demands and challenges that lie in the path of
growth and development.
 machine to machine processes exchange
data between billions of devices.
 on-line gaming systems support millions of
concurrent users, each producing multiple
inputs per second.

12. 3rd Character of Big Data
Variety

13. 3rd Character of Big Data
Variety
 The type and nature of the data. This helps
people who analyze it to effectively use the
resulting insight.
 Big Data isn't just numbers, dates, and
strings. Big Data is also geospatial data, 3D
data, audio and video, and unstructured text,
including log files and social media.
 Big Data analysis includes different types of
data.

14.  Growth of Big Data is needed
 Increase of storage capacities.
 Increase of processing power.
 Availability of data(different data types).
 Every day we create 2.5 quintillion bytes of data;
90% of the data in the world today has been created
in the last two years alone.
Why Big Data?

15.  FB generates 10TB daily
 Twitter generates 7TB of data daily.
 IBM claims 90% of today’s stored data was generated
in just the last two years.
Why Big Data?

19. Softwares.

20. www.Slideshare.com
www.wikipedia.com
References.

21. Thanks