Episode 10 — 1.2 Select Data Sources: Databases, APIs, Web Scraping, Files, and Logs
This episode builds decision-making skill around sourcing, a recurring theme in Data+ DA0-002 when prompts ask where data should come from and what tradeoffs follow. You will compare databases as governed sources for structured records, APIs as controlled access points that often provide fresher data, files as portable extracts that introduce versioning risk, and logs as timestamped behavioral trails that can explain what happened. You will also address web scraping as a method that can be technically feasible but operationally fragile, and you will focus on the questions that matter: reliability, completeness, latency, access controls, and how well the source aligns with the business question. The core outcome is being able to justify a source choice based on constraints, not preference.
You will apply a sourcing framework using short scenarios such as investigating a drop in conversions, reconciling revenue totals, or diagnosing a service incident using logs. You will practice validating a source before analysis by confirming field definitions, checking time windows, and watching for partial returns caused by outages or rate limits. You will also cover documentation and lineage basics that keep results defensible, such as recording where the data came from, when it was pulled, and what transformations were applied. The troubleshooting portion emphasizes detecting mismatches early, like inconsistent identifiers across systems or incompatible granularity between sources. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
