BIG DATA

Big Data four key properties ― the four V’s (Volume, Velocity, Variety & Veracity). Big Data
makes use of both data analysis and analytics techniques and frequently builds upon
the data in enterprise data warehouses (as used in BI).
As such, it can be considered the
next step’ in the evolution of Business Intelligence.

Big Data, however, requires a different approach than Business Intelligence for
several reasons.

Big Data is characterized by the variety of its data sources and includes unstructured or
semi-structured data.
Big Data solutions need, for example, to be able to process images
of audio files.

Big Data four key properties ― the four V’s
(Volume, Velocity, Variety & Veracity). Big Data
makes use of both data analysis and
analytics techniques and frequently builds
upon the data in enterprise data warehouses
(as used in BI).
As such, it can be considered
the next step’ in the evolution
of Business Intelligence.

Big Data, however, requires a different approach
than Business Intelligence for several reasons.

Big Data is characterized by the variety of its
data sources and includes unstructured or
semi-structured data.
Big Data solutions
need, for example, to be able to process
images of audio files.

The data that is analyzed in Big Data environments is
larger than most traditional BI solutions
can
cope with, and therefore requires distinct and
distributed storage and processing solutions like
Hadoop or Spark technologies.

THE DIFFERENCE BETWEEEN BIG DATA AND BUSINESS
INTELLIGENCE CAN BE DEPICTED BY THE FIGURE BELOW:

big data (1)

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Sintec Consulting + Appliance Technologies: desafiamos los límites del retail

En conjunto impulsamos Mercante como una respuesta para los retos que enfrenta el comercio minorista. Uno de los principales retos del comercio minorista es la planeación de la compra, distribución y evaluación de desempeño de los productos no-resurtibles o de temporada.

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