Author: Jose S
What are large language models (LLMs), and what are they good for at work?
Large language models draft text by predicting tokens at scale. Plain definitions, analytics use cases, grounding with retrieval, and a review habit so polished answers do not become…
What is Git? A straightforward introduction for analytics work
Git tracks versions so teams stop emailing final_final.sql. Repos, commits, branches, remotes, and a minimal daily loop for analysts and analytics engineers.
- 4 min read
What is data literacy and why it matters
Data literacy is finding, reading, questioning, and using data to decide, including knowing when the data is weak. A practical ladder for readers, builders, and leaders who live…
How to choose where to store your data: a database, a warehouse, or a lake
App DB, warehouse, lake, mart, spreadsheet: each stores data for a different job. A plain map of the stack, tradeoffs, and a decision table so you stop buying…
- 5 min read
Which programming language to learn for data analytics: start with SQL
Which language should analysts learn? Start with SQL, add Python or R for heavier work, and treat BI calculation languages as real production logic. A practical map without…
