Diploma in Big Data

Big dates to the process of collection of large heterogeneous quantities of data for analysis (sometimes in real time). This data set is so large and complex that the traditional processing means are ineffective. Hence, new forms and computer applications must be developed capable of managing and processing all this amount of data. The Big Data is born to respond to these challenges and, above all, so that with the analysis of the data more customers are attracted, avoid losing them and improving our operational processes.

The global objective of the diploma is that the student develops a new technological profile, acquiring skills for the management and development of software projects necessary in this changing world. This global objective is achieved through the following partial objectives: - Understand the intelligent systems capable of responding to current demand. - Know and design the architecture behind Big Data.

The global objective of the diploma is that the student develops a new technological profile, acquiring skills for the management and development of software projects necessary in this changing world. This global objective is achieved through the following partial objectives: - Understand the intelligent systems capable of responding to current demand. - Know and design the architecture behind Big Data.

Big dates to the process of collection of large heterogeneous quantities of data for analysis (sometimes in real time). This data set is so large and complex that the traditional processing means are ineffective. Hence, new forms and computer applications must be developed capable of managing and processing all this amount of data. The Big Data is born to respond to these challenges and, above all, so that with the analysis of the data more customers are attracted, avoid losing them and improving our operational processes.

Big dates to the process of collection of large heterogeneous quantities of data for analysis (sometimes in real time). This data set is so large and complex that the traditional processing means are ineffective. Hence, new forms and computer applications must be developed capable of managing and processing all this amount of data. The Big Data is born to respond to these challenges and, above all, so that with the analysis of the data more customers are attracted, avoid losing them and improving our operational processes.

This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.