Episode 27 of the podcast covers important attributes and characteristics of selectors critical to investigating digital crime including data engineering considerations that facilitate quicker and more accurate analytical assessments. 

• (00:40) Question 1: In the world of digital crime, what do you define as a selector? 
• (08:02) Question 2: What are the importance of these selectors from an analytical perspective? What are the properties and values of various kinds of selectors? 
• (11:38) Question 3: How do you grade the value of a selector and what are some investigative use cases.
• (18:56) Question 4: From a data engineering perspective, how should we think about aggregating data that allows analysts to query for selectors of interest?
• (29:31) Question 5: What business problems do you solve through these definitions and how are selectors evaluated in the process?