Analysis of Big Data.

1. BIG DATA
Diego Buesaquillo
Economics

2. ¿WHAT IS BIG DATA?
According to Mckinsey Global
Institute (2011), Big Data is a data set
beyond of typical tools capabilities of
software of data base to capture,
manage and analyse.

3. TYPE OF DATA
Structured data: Have order as
spreedsheets and files. Some examples
are birthdate, numbers of ID, Passport or
credit card.
Semi-structured data: Does’nt have and
order but tags, and it is easier to separate
them.
Unstructured data: Does’nt have any
order because are pictures, videos, data
text and audio.

4. CHARACTERISTICS OF BIG DATA
• Volume
• Speed
• Variety
• Veracity
• Value
3 “V” of Big Data
• Volume: -Terabytes
-Records
-Transactions
• Variety: -Structured
-Unestructured
-Semiestructured
• Speed: -Real time
-Flows

5. BIG DATA SIZE
• ¿What is the most important part of Big
Data, “Big” or “Data”?
• Last two years, in the world the data
size grew over 70%.
• The only important of Big Data is how
the people use him.

6. BIG DATA SIZE
• Data are from simple things like
wheater, transport, social networks,
files, messages, videos and something
like that.

7. ¿WHERE DOES THE BIG DATA COME
FROM?
• Web and social networks
• Machine to machine (M2M)
• Large transaction data
• Biometric
• According to Sunill Soares (2012), the
Big Data architecture is following:

8. Cloud
Big Data lifecycle
Analytic, security of Big
Data
Data warehouse
Quality Big Data – Discovery of big data
Big Data integration
Data base
Streaming analytics
Big Data source

9. BIG DATA IN THE
COUNTRIES
Southamerica: Perú
European Union: Spain and
United Kingdom
United states