Cloudera Workshop: Real Time Data Ingestion and Analysis through Kafka and Spark Streaming.
Ramon de la Rosa, Big Data and Cloud Specialist at PUE
In order to bring the educational community a solution for the official training of students in Big Data technologies, Cloudera designs and presents its Cloudera Academic Program (CAP) initiative, providing curricular materials, technological solutions, exercises and other benefits to train your students in the technologies of the present and the future.
In the initial part of this talk, after an introduction about the benefits of the CAP and the way in which educational institutions can subscribe, we will discuss how to implement in the classroom the courses and technical solutions proposed by Cloudera for the training of students in Big Data and Apache Hadoop: virtual machines, slides, exercises, laboratories, etc.
The second part of the session will be dedicated to the workshop "Real Time Data Ingestion and Analysis through Kafka and Spark Streaming" in which the following areas will be explained:
The present activity is part of the Cloudera Academic Program (CAP) initiative. It has been designed from the tools, software and teaching resources that Cloudera makes available to educational institutions that wish to train, in an official and recognized way, their students in Big Data Apache Hadoop technologies.
Organizations of all types are experiencing the Big Data revolution, increasing the need to incorporate professionals with skills that generate value in the analysis and exploitation of all types of data.
As a leader in the Big Data Open Source market, Cloudera focuses on helping the development of the next generation of data professionals.
The Cloudera Academic Program (CAP) brings academic institutions training in Hadoop, providing benefits to students, teachers and centres in the acquisition of qualified and recognized knowledge in Big Data.
PUE is the partner of Cloudera for the exclusive management of its Cloudera Academic Program initiative in Spain.
For more information:
Program Cloudera Academic