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CFI1071 — Introduction to Big Data Analytics and Security

3 credits · 3 hours

CFI 1071 - Introduction to Big Data Analytics and Security CFI 1071 - Introduction to Big Data Analytics and Security Hours/Week: Lecture 2 Lab 2 Internship hours per week 0 Course Description: This course introduces the fundamental concepts in the field of Big Data. The focus of the course is on an overview of the field and related security topics to develop the skills needed to participate effectively in Big Data and other analytics projects as a practitioner. Course activities provide students with opportunities to search, navigate, tag, build alerts, and create simple reports and dashboards with Splunk. The course begins with an introduction to Big Data, which includes grounding in basic analytic methods and Big Data analytics technology and tools, and builds to an exploration of the data analytics lifecycle to address business challenges that leverage Big Data. Course materials include both “open-source technology” and “commercial technology” tools. This course is for those new to the Big Data field and the security threat landscape. No prior programming experience or statistics background is required. MnTC Goals None explain how to structure data analysis and get values out of Big Data. describe the landscape of Big Data Analytics by exploring several examples of real-world problems. explain the impact of Big Data on data collection, data analysis, data reporting, data monitoring, and data storage. apply appropriate Splunk’s analytic techniques and tools to analyze Big

Prerequisites: ENGL0950, RDNG0940, RDNG0950, ENGL0090, ESOL0051, ESOL0052

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