Join 📚 Kevin's Highlights
A batch of the best highlights from what Kevin's read, .
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;
Starting Hand Standards
A reasonable set of opening requirements at most tables would be as follows:
**Early position**: Ten high or better badugis; Smooth 7 high tris or better
**Hijack**: Jack high or better badugis, Smooth 8 high tris or better
**Cut-off**: All badugis, 8 high tris or better, A2 and A3
**Button**: All badugis, 9 high tris or better, A2, A3, 23, A4
Badugi Rules and Basic Strategy
countingouts.com
...catch up on these, and many more highlights
Readwise