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Call for Applications for Short Term Course on Big Data Engineering

The Big Data Engineer career path prepares professionals to use the Big Data platform and methodologies in order to collect and analyse large amounts of data from different sources. This will require skills in Big Data architecture, such as Apache Hadoop, Ambari, Spark, BigSQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

This course will provide you with the basic tools to manage big amount of data. The course is open to faculty members within the University as well as PhD students.

Interested participants should apply via the link below latest by Friday, 24 January 2020 for limited seats.

(Apply Now!)

Date: February 10-14, 2020

Venue: KNUST

Download for further information!

Contact us via: rwesckproject@gmail.com

Selected candidates will be contacted