Upper University Course in data analysis with Splunk (university degree + 8 ECTS credits)

Splunk is a data analysis platform that allows organizations to collect, indexing, searching and analyzing large amounts of data generated by computer systems, mobile devices, sensors and other connected devices. At present, correct administration of the great data sources is imperative. For this, a tool is needed that allows to propose and manage the data, so that they are interpretable and generate an advantage situation. With our course in data analysis with Splunk we will guide you on the way to the study of a world leading platform in monitoring and observability services. We will delve into how Splunk analyzes in real time, offering a wide range of tools and applications for data analysis.

- Know the Big Data bases and its implications with Splunk. - Learn to collect and add data from different sources, such as computer systems, mobile devices and sensors. - Develop skills in the search, analysis and display of data through the Splunk platform. - Dominate Splunk's integration skills with other third -party tools and technologies. - Obtain an understanding of the best practices and advanced techniques for data analysis with Splunk.

Some of the professional output profiles faced by this course in data analysis with Splunk are all those who must handle a large amount of data and need constant update, such as system administrators and networks, information security professionals, data analysts, administrators or experts in finance attentive to any change.

Our course in data analysis with Splunk prepares you to develop skills in the management of the Splunk platform, which is a key tool in real -time data analysis. Through the course, you will learn to collect, index, search and analyze large amounts of data generated by different sources, and to use the platform capabilities to visualize and better understand the information.

Our course in data analysis with Splunk is aimed at anyone who wishes to acquire skills in the management and analysis of large volumes of real -time data, such as professionals in information technology, data and business analysis, as well as students and any person interested in learning about real -time data analysis.

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.