ANNOUNCEMENT:
updated November 18, 2024 9:07:09 AM GMT-05:00
***Course under revision and will return soon***
This course provides Airmen with both an overview of the Big Data analysis landscape and a working knowledge of the tools that are most useful in doing data analysis. It goes into the core components of Hadoop, namely its file structure and MapReduce querying language. Then it explores the low-level HBase database system, primarily the CRUD capability. The course then explores in detail several query languages that sit on top of MapReduce and/or HBase; namely, Apache Phoenix, Hive, and Pig. The other major player in Big Data is Apache Spark, which is both independent of Hadoop and can be used in concert with it. The course explores in some depth the use of Python and SQL within Spark.
Grade Restrictions: None
Special Requirements: This is a self-paced course in the Canvas Learning Management System. Instructor(s) are available for questions and to grade assignments. Expect to spend between 4-5 hours per week.
Course Registration Information
Course Length: 19 hours
Event Type: Training (Functional, Technical)Primary Audience:
CL Points: 19
Prerequisites: WKDES 330 or existing prerequisite knowledge
