This document discusses big data and database management systems. It defines big data as very large and complex datasets that are difficult to manipulate using standard tools. Big data spans three dimensions: volume, referring to vast amounts of data generated every second; velocity, referring to the speed data is generated and moves; and variety, referring to different data types like text, images, and video. The document also outlines some applications of big data like smarter healthcare, benefits like determining issues in real time, and big players working with big data like Google, Facebook, and telecom companies.

1. BIG DATA
Hafiz Muhammad Amjad
Safi Ullah Nair
Iqra Parveen
Rimsha Parveen

2. What Is DBMS
• It stands for Database Management System.
• Contains all the information about the
enterprise.
• Collection of interrelated data.
• It is centralized database
management.
• Persistent storage management.
• Transaction management.

3. Loopholes In DBMS
• Difficult to handle huge data.
• Supports only structured form of
data.
• Always stores data in table format.
• High level query and data
manipulation language.
• Interaction with the other levels are difficult.

4. What Is BIG DATA
• As the name itself it is a huge data(T.B-P.B).
• Data sets are too large and complex.
• Very complex to manipulate or interrogate.
• Standard methods and tools are not enough.
• Big data spans three dimension.
• Volume, velocityandvariety.

5. Big Data Spans Three Dimensions

6. Volume…
• …refers to the vast amounts of data
generated every second. We are not
talking Terabytes but Zettabytes or
Brontobytes. If we take all the data
generated in the world between the
beginning of time and 2014, the same
amount of data will soon be
generated every minute. New big
data tools use distributed systems so
that we can store and analyse data
across databases that are dotted
around anywhere in the world.

7. Velocity…
• …refers to the speed at which new data
is generated and the speed at which data
moves around. Just think of social media
messages going viral in seconds.
Technology allows us now to analyse the
data while it is being generated
(sometimes referred to as in-memory
analytics), without ever putting it into
databases.

8. Variety…
• …refers to the different types of data we
can now use. In the past we only focused
on structured data that neatly fitted into
tables or relational databases, such as
financial data. In fact, 80% of the world’s
data is unstructured (text, images, video,
voice, etc.) With big data technology we
can now analyse and bring together data
of different types such as messages,
social media conversations, photos,
sensor data, video or voice recordings.

9. How It Is Creating?
• At every end of 59th second the following
data is generating.

10. Turning Big Data Into Value:
• The datafication of our world gives us
unprecedented amounts of data in
terms of Volume, Velocity and Variety.
The latest technology such as cloud
computing and distributed systems
together with the latest software and
analysis approaches allow us to leverage
all types of data to gain insights and add
value.

11. Why Big Data Should Matter?
• Determine root causes for failure.
• Determine Issues and defects in real
time.
• Potentially saving billions of dollars
annualy.
• Recalculate entire risk in a minute.
• Quickly identify the customer who
matters most.

12. Application For Big Data
• Smarter Health Care.
• Social Media
• Multi Channel Sales
• Telecom.
• Manufacturing.

13. Big Players In Big Data
• Google
• Facebook
• Telecom Sector