Description of big data

1. Tomas Viancha Moya

2. WHAT IS BIG DATA?
Data sets or
combination
of data sets
Size
(volume)
Complexity
(variability)
Growth
rata
(speed)
You can’t
capture,
manager, process
or analyze with…
Visualization
packages
Conventional
statistics
databases
Relational
databases

3. How to identify a
big data?
Most analysts and
professionals currently
refer to data sets ranging
from 30-50 Terabytes to
several Petabytes

4. IMPORTANCE OF BIG
DATA
IT IS A
POINT OF
REFERENCE
TRENDS
SERARCH
ENGINE
EFFICIENT
USE OF
DATA

5. THE MOST SUCCESSFUL COMPPANIES WITH BIG
DATA GER VALUE IN THE FOLLOWING WAYS:
COSTS
REDUCTION
EFFICIENCY
IN DECISION
MAKING
NEW
PRODUCTS
AND
SERVICES

6. QUALITY
CHALLENGES
Volume
Variety
Speed
Veracity
Value

7. MANY SOURCES
AND TYPES OF
DATA
• Unstructured data types:
documents, videos,
audios, etc.
• Semi-structured data
types: software,
spreadsheets, reports.
• Types of structured data

8. DATA VOLUME AND COLATULITY
It is difficult to collect,
clean, integrate and
obtain high ada
quickly
The data changes quickly
and that makes them have
a very short validity, to
solve it we need a very
high processing power.

9. WITHOUT QUALITY
STANDARDS
The data quality of BIG
DATA is key, not only to
obtain competitive
advatanges but also prevent
us from incurring serious
strategic and operational
errors besed on erroneous
data wiyh consequences
that can become very
seriouse.

10. THANKS