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Research Group - Data analytics: Big Data

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Contact Information

  • Javier Manuel Aguiar Pérez
  • Campus Miguel Delibes, Paseo Belén, 15
    Valladolid, Valladolid (47011) - 2D096
  • Send email
  • 983425594
  • 983423667

Basic Information

  • UniversityUniversidad de Valladolid
  • Center
  • DepartmentSignal Theory and Communications and Telematics Engineering
  • Investigation GroupData Engineering Unit


Big data refers to the set of procedures related to the management of great amounts of information, including macro-data collection, storage, search, sharing, analysis and visualization, which cannot be processed by traditional computer applications.

Artificial intelligence, natural language processing and automatic learning are at the forefront among these techniques. The latter two learn from data, so the more information is storaged, the more machines learn.

There are many tools to manage big data, such as Hadoop, NoSQL, Cassandra, Business intelligence, Automatic learning and MapReduce, among others. These tools deal with any of the three existing types of big data (structured, unstructured and semi-structured data).

As data is collected and storaged using different storage technologies, different data analysis techniques are necessary: association, data mining, clustering or text analytics.

These management techniques and the analysis of great amounts of generated data are effective to develop innovations in business management, provision of public services, design and implementation of development measures, eCommerce or marketing intelligence.

Other information

Number of researchers:


Technological Line(s):

- Internet of the future and infrastructure improvement
- Engineering and Architecture

Development status:

In research and development phase

Intellectual Property Rights:

Susceptible Propiedad Intelectual

Differentiation in the market:


Applicability of technology:


Companies and markets:

The set of technologies related to big data can be used in a variety of fields and areas concerned with data analysis and management. The tendency to manipulate great amounts of data lies in the need, in many cases, to include such information in statistical reports and predictive models used in different subjects, such as business and advertising analytics, data on infectious diseases, population espionage and monitoring, or the fight against organized crime.


The Big Data reseach line is quite cross-cutting, so it is intended to develop ad hoc applications to process huge volumes of data in a quick and accurate way, and to convert them in a powerful tool for business development.

The data sources that can be managed are many and of different natures:
  • Generated by people: emails, WhatsApp messages, Facebook states, Twitter, usage traces in an ERP system, including entries in a database or adding information in a spreadsheet.
  • Transaction data: invoicing, calls or transactions between accounts create information that, once processed, can become relevant data.
  • Electronic and web marketing: Web 2.0 has broken the paradigm webmaster-content-reader and the users themselves have become content creators through their interaction with the site.
  • Machine to machine (M2M): several meters and sensors that transform physical or chemical magnitudes into data.
  • Biometrics: data generated by biometric readers from security, defense and intelligence services.

Additional Information:

Extensive experience in Spanish and European projects.


3304 - Computer technology



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