Upper University Course in Devops and Cloud Computing applied to Big Data (University degree + 12 ECTS credits)






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Temario
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Summary
The growth of information volumes managed by organizations creates the need to adapt the company's infrastructure to the demands involved in an optimal analysis and processing of the data. Creating a cloud architecture according to the needs of a Big Data project will allow business cost reduction. This upper course in Devops and Cloud Computing applied to Big Data allows you to assimilate the necessary objectives and techniques for the study and development of a cloud architecture in Big Data environments. While studying in a personal environment with a wide group of specialist tutors. Training you to adopt the best solution without losing sight of the scalability and the security of the information that this implementation entails.
Goals
Professional exits
To prepare you
With this upper course in Devops and Cloud Computing applied to Big Data you will be able to adapt the business needs according to the size of the volume of information generated. Through the study of Big Data projects, you will design and develop the optimal cloud computing solution in both Linux and Windows environments, establishing a cost reduction and scalability strategy in the organization.
Who is it addressed
The upper course in Devops and Cloud Computing applied to Big Data is focused for professionals from technological areas and knowledge in Big Data, who want to guide their career did the optimization of development and implementation of cloud infrastructure in Big Data environments, allowing him to adapt the needs of organizations at each moment.
Official character
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.

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Certificación


University Superior Course degree in Devops and Cloud Computing applied to Big Data with 300 hours and 12 ECTS credits by the Catholic University of Murcia

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