🔧 Data Engineering

Data architecture fundamentals: the staging, core, and semantic layers, why architecture is not tools, and how batch and streaming data land.

Analytics engineering fundamentals: the role between data engineering and analysis, ELT, the transformation layer, testing, and the semantic layer.

Build a working knowledge graph in one pure-Python file. Store facts as triples, then query and traverse them, with no database and no libraries.

A knowledge graph stores data as entities and relationships, not rows. Learn what it is, how it works, and when it's useful.

Why graph databases exist, when to use them, and how they differ from relational databases. Learn nodes, edges, and relationship-first querying.

Learn core data engineering concepts, workflows, and applications. Understand how to transform raw data into reliable, accessible information.

Databases power your apps, store your photos, and process your payments, but do you understand their core concepts? If you work with data, you need to master database fundamentals.

Learn Amazon EMR basics for big data processing in the cloud. Discover the primary use cases, core concepts, and resources to get started.

Learn Amazon S3 basics for scalable object storage in the cloud. Discover the primary use cases, core concepts, and resources to get started with this essential AWS service.

Learn how to scrape data from web pages using browser developer tools, XPath, and JavaScript. Includes step-by-step instructions, code examples, and best practices for web scraping.