Big Data course with Apache Spark
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Syllabus
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Summary
In the current digital era, the amount of data generated every day is exponentially higher, covering from commercial transaction records to social networks interactions. This phenomenon has resulted in what is known as Big Data, a concept that transcends the simple accumulation of data to become a fundamental strategic resource for companies and organizations from all sectors. This Big Data course with Apache Spark offers a unique opportunity to dive into the world of large -scale data analysis. From the basic concepts of Big Data to advanced real -time processing techniques and Machine Learning, you will get a complete understanding of how to make the most of this invaluable resource thanks to the Apache Spark tool.
Goals
Professional opportunities
To prepare you
This Big Data course with Apache Spark prepares you to handle and analyze large volumes of data in complex business environments. You will learn to apply advanced data mining techniques, Machine Learning and real -time processing using Apache Spark. In addition, you will develop skills to optimize consultations and efficiently manage resources in cloud computing environments.
Who is it addressed to?
This Big Data course with Apache Spark is designed for professionals and students of computer science, data sciences, software engineering and related disciplines that wish to acquire advanced skills in Big Data and Apache Spark. It is also suitable for managers and executives to boost strategic decision making in their organizations.
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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Degree issued by Educa Open, specialized center in training in various technological areas
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