Data management Course

This course explores data management and data collection.

1 hour, 8 minutes

Course description

In this course, we will discuss the importance of organizing how to collect, store and process the data you will eventually use for detections. We will cover the various stages of data collection, as well as methods and tools for collecting data. There will be an example of how to utilize various shippers, such as Beats agents.

Syllabus

Data science and cybersecurity

Video - 00:13:00
An overview of M.L. and how it can be used within the domain of cybersecurity.
Data mover example

Video - 00:20:00
We will overview the YML file of an Elastic Beats agent. Students will learn how to configure it to ship data.
Data collection methods

Video - 00:09:00
An overview of ETL and how to create a pipeline to ingest the data you need to build detections.
Data management overview

Video - 00:25:00
The importance of creating a process for collecting data.

Meet the author

Mark Viglione

Mark Viglione is a graduate of Penn State University. He has experience working at a Fortune 500 company as a cybersecurity engineer. Mark is the founder of Enigma Networkz, a SaaS cybersecurity data analytics company helping small to midsized organizations protect their environment from cyber threats. He is a member of Ben Franklin Technology Partner's client portfolio program and has been a speaker at Penn State Berks LaunchBox events. He has also authored various cybersecurity related coursework and labs.

Mark holds multiple cybersecurity certificates: SSCP (Systems Security Certified Practitioner), SANS GCIA (Certified Intrusion Analyst) and CompTIA CySA+ (Cybersecurity Analyst).

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Associated NICE Work Roles

All Infosec training maps directly to the NICE Workforce Framework for Cybersecurity to guide you from beginner to expert across 52 Work Roles.

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