CPT 235 - Understanding Big Data with Apache Spark

3 Credit(s)

Introduction to Apache Spark and its use in analyzing big data with algorithms written in Python. Perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions. Also introduces R and Scala as alternate development languages.

Prereqs: CPT 135 & CPT 181
Course Type: Lecture
Tuition Tier: Tier I
Delivery Method:
In-Person, Remote
Course Learning Outcomes:
CLO 1) Students will analyze the challenges in Big Data and how Apache Spark can solve these problems.
CLO 2) Students will apply appropriate design considerations in solving problems.
CLO 3) Students will demonstrate their use of DataFrames in Big Data.
CLO 4) Students will source required data and select the appropriate algorithms.
CLO 5) Students will evaluate visualization techniques and unstructured data.
CLO 6) Students will create production quality applications.