Short Course on Big Data Engineering at the Kwame Nkrumah University of Science and Technology (KNUST)
The Big Data Engineer career path prepares professionals to use the Big Data platform and methodologies 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.
This career path includes the following learning modules, open badges, and job roles:
Learning Modules
Module I – Big Data Overview
• Data Overview, Industry Applications, Case Studies
• Understanding Big Data
Module II – Prerequisites
There are no prerequisites for this course Module III – Big Data Engineer
• HortonWorks Data Platform
• Big Data architecture
• Storing and processing data with Hadoop
• Creating data using HDFS
• Data distribution and storage with MapReduce
• Access HBase/Hadoop data with Hive
• ZooKeeper, Slider, Knox
• Loading data with Sqoop
• Big SQL
• IBM Watson Studio IBM Open Badges
• Big Data Engineer : Explorer | Mastery Award Associated Job Roles
• Business Intelligence Analyst
• Artificial Intelligence Analyst
Be a part of the program and make an impact around your world.
Interested participants should apply via the link below latest by Friday, 24 January 2022 for limited seats.
Date: February 10-14, 2024
Venue: KNUST
Attached Document
Download for further information!
Contact us via: rwesckproject@gmail.com
Selected candidates will be contacted
For more information contact us on: xacademy@ae.ibm.com
Visit the online portal at: www.ibm.biz/ibmskillsacademy