Join 📚 Kevin's Highlights
A batch of the best highlights from what Kevin's read, .
There are many great books and courses on
Data Structures and Algorithms
but the one I would recommend is a book named
*[The Algorithm Design Manual](https://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202)* by Steven Skiena.
You can also check out his course [here](https://www3.cs.stonybrook.edu/~skiena/373/videos/).
Key Computer Science Concepts Every Software Engineer Should Know – And How to Learn Them
Tamerlan Gudabayev
The data engineering lifecycle
shifts the conversation
away from technology and
toward the data itself and the end goals that it must serve.
The stages of the data engineering lifecycle are as follows:
• Generation • Storage • Ingestion • Transformation • Serving
Fundamentals of Data Engineering
Reis, Joe;Housley, Matt;
Here's my own [[Project Kickoff]] checklist:
1. Capture my current thinking on the project.
2. Review folders (or tags) that might contain relevant notes.
3. Search for related terms across all folders.
4. Move (or tag) relevant notes to the project folder.
5. Create an outline of collected notes and plan the project.
Building a Second Brain
Tiago Forte
...catch up on these, and many more highlights
Readwise