SQL vs NoSQL Databases: How to Choose
SQL vs NoSQL explained by data shape and access pattern, with concrete examples for relational, document, key-value, wide-column and graph databases.
Everything we have written about sql.
SQL vs NoSQL explained by data shape and access pattern, with concrete examples for relational, document, key-value, wide-column and graph databases.
What dbt does, how models, tests and docs work, a simple model example you can follow, what changed with dbt v2 and the Fivetran merger, and how to start.
Learn SELECT, WHERE, GROUP BY and JOIN using one realistic coffee shop sales table, with every query's real output shown so you can follow along.
A practical roadmap to become a data engineer: which skills to learn in order, the cloud certifications worth knowing, portfolio projects that prove you can build pipelines and common paths in.
An 8-step process for cleaning messy data, with the exact Excel functions and SQL queries to fix duplicates, missing values, stray spaces, bad dates and inconsistent categories.
What structured, unstructured and semi-structured data are, with real business examples, a side-by-side comparison table and how AI is turning unused documents and recordings into usable data.
The core skills, portfolio projects and entry routes for becoming a data analyst, including how to move into analytics from marketing, finance, operations and other fields.