What is Big Data?
Definition, How it works and Uses cases of Big Data.

Unlock the Potential of Innovation through Cutting-edge technology solutions.
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Definition, How it works and Uses cases of Big Data.

Unlock the Potential of Innovation through Cutting-edge technology solutions.
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El big data es un conjunto de datos masivos que se caracteriza por su volumen, variedad y complejidad. En este apartado hablaremos de temas relacionados como herramientas y técnicas para Big Data.
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Big Data is about Data that contains a greater variety, colossal volume, and growing exponentially in time. This data can be structured or unstructured data.
Big Data is hard to manage due to the types of data, the velocity of growth, and the volume of time.

For companies, Big Data gives the power to discover insights that open up new opportunities and business models.
The process of discovering those insights needs a great team of data analytics and software developers that take the challenge to create high-performance algorithms for Big Data.
Big Data management requires data centers with the capacity to store a high volume of data and cyber security best practices for availability and confidentiality.
Big data requires analytics strategies due to the amount of data so this needs great power in the computational process.
More than 500 terabytes of data are generated every day.
Generates between 500-700 Millions tweets a day.
Processes more than 20 petabytes of data every day
Generates about 1 petabyte of collision data per second.
Today big data is seen as the new oil but it all depends on how companies used a large amount of data, so managing data and analysis require great computational power, high availability, and storage but also needs great algorithms to finally discover insights that will be valuable for business.
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