Categorias: Todos - volume - visualization - variety - veracity

por Dannn _ 9 meses atrás

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7 V'S OF BIG DATA

In the realm of big data, several critical aspects must be considered to effectively manage and utilize vast quantities of information. Visualization involves the use of tables and graphs to interpret and analyze data efficiently.

7 V'S OF BIG DATA

7 V'S OF BIG DATA

VOLUME

It refers to the size of the data that need to be processed and analyzed.


MASSIVE INFORMATION

Example: All credit card transaction on a day

LARGE TO PROCESS

VARIABILITY

It refers to the change, inconsistency or fluctuation in data over time.

FLUCTUATION
DIVERSITY OF DATA
TEMPORARY VARIABILITY
CONSTANT CHANGE

VALUE

It refers to the way in which data and its processing can provide value to organizations.

Objetives
UTILITY
BUSSINES IMPACT
STRATEGIC DECISIONS
IDENTIFY OPPORTUNITIES

VISUALIZATION

It refers to the possibility of using tables and graphs to analyze large amounts of data.

Items
Diagrams
Dashboards
Tables
Graphs

VARIETY

It refers to the different types of data that exist.

Types
SEMI STRUCTURED

It is data that does not have a specific structure, but has some degree of organization.

Example : a e-mail

UNSTRUCTURED

It is data that does not have a predetermined format.

Example : media files

STRUCTURED

It is data organized in a predefined format.

Example : filled information tables

VERACITY

It refers to the quality of the data that is being analyzed.

RELIABILITY
CONSISTENCY
PRECISION

VELOCITY

It refers to the speed at which data is processed and becomes accessible.

Characteristics
FAST PROCESSING
REAL TIME ANALYSIS