Specialization in Big Data
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Syllabus
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Summary
Big Data has become a fundamental pillar that drives strategic decision making and the development of innovations in various industries. This specialization in Big Data addresses the complexity of managing large volumes of data, from its obtaining to its processing and analysis. Big Data architecture, with its fundamental components such as Hadoop, Pig, Hive, and Spark, becomes the basis for exploiting the ability to process data at mass scale. You will know the Batch and streaming processing, from Spark Streaming to technologies such as Kafka and Press, allowing to explore and apply solutions in real time. In addition, you will see the main Nosql systems, such as HBASE, Cassandra or Mongodb to manage unstructured data.
Goals
Professional opportunities
To prepare you
The specialization in Big Data prepares you to lead Big Data projects from Concepción to implementation, with a special approach to Big Data architecture. The deep understanding of fundamental tools such as Hadoop, Pig, Hive, and Spark Core, along with real -time data processing using Spark Streaming, Kafka and Pulsar, will train you to face challenges in large -scale data processing.
Who is it addressed to?
This specialization in Big Data is aimed at IT professionals, data analysts, data scientists and marketing experts who seek a deep understanding of Big Data, how its architecture and its application in behavioral sciences, artificial intelligence and digital marketing are configured.
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Certification
Diploma of Accreditation of the Big Data Specialization Course with curricular value issued by Universidad Da Vinci European Business School
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