DAT 302
Data Programming I

Total Units :: 3.0

Course Outlines

This course examines developing solutions for extracting and analyzing big data sets using various technologies. Students will learn Scala and Java, which are the fundamental part of Spark, Kafka and HBase. Focus will be on Apache Spark and its different aspects. Students will explore real-time analytics tools such as Kafka and HBase. NoSQL will be covered in this course. A laptop computer with Minimum 8 GB RAM dedicated on your 64 bit OS (16 GB RAM is strongly recommended for DAT 302), Core i5 CPU, 500 GB storage is required.

No Classes Currently Open for Registration

Please check back when registration opens for the next term. Spring term registration opens mid-March and Fall/Winter term registration opens mid-July. Please refer to the Schedule tab for your program to review the planned academic year schedule.

Continuing Education

DAT 302
Data Programming I

No Classes Currently Open for Registration

More Information

DAT 302Data Programming I

No Classes Currently Open for Registration

More Information

DAT 302
Data Programming I