b-man

6 ms·

61.
The Rise and Fall of Scala: A Love Letter to the Language That Broke My Heart(medium.com)
4 points by b-man 8mo ago|0 comments
62.
Artificial Intelligence and Magical Thinking(edwardfeser.blogspot.com)
2 points by b-man 8mo ago|0 comments
63.
How Head Works in Git(jvns.ca)
3 points by b-man 8mo ago|0 comments
64.
by b-man 8mo ago
Location: EST Remote: Yes Willing to relocate: Yes (US preferred) Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux Email: ebell
65.
by b-man 9mo ago
> This is the reason for the push-back against it. Do you have evidence for that? From memory, it was basically because it was associated with the java/.net bloat from the early 2000s. Then ruby on rails came.
66.
The Ubiquitous B-Tree [pdf](carlosproal.com)
3 points by b-man 9mo ago|0 comments
67.
by b-man 9mo ago
Location: EST Remote: Yes Willing to relocate: Yes (US preferred) Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux Email: ebell
68.
Guide to Machine Learning(ibm.com)
3 points by b-man 10mo ago|0 comments
69.
by b-man 10mo ago
I have written the entire backend of a fintech using nothing but postgresql, integration over http and webhook receival included (the last bit was with postgrest, but you get the point)
70.
MySQL for Developers(planetscale.com)
3 points by b-man 10mo ago|0 comments
71.
The Rise of SQL:the second programming language everyone needs to know(spectrum.ieee.org)
156 points by b-man 10mo ago|134 comments
72.
Postgres query plan visualization tools(pgmustard.com)
1 points by b-man 10mo ago|0 comments
73.
Origins of the TPC and the first 10 years(tpc.org)
5 points by b-man 10mo ago|0 comments
74.
Algorithms Interviews: Theory vs. Practice(danluu.com)
1 points by b-man 10mo ago|0 comments
75.
by b-man 10mo ago
Location: EST Remote: Yes Willing to relocate: Yes (US preferred) Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux Email: ebell
76.
by b-man 10mo ago
> Not to mention that perfectly normalizing a database always incurs join overhead that limits horizontal scalability. In fact, denormalization is required to achieve scale (with a trade-off). This is just not true, at least not in gener
77.
Just Use Postgres for Everything(amazingcto.com)
17 points by b-man 10mo ago|3 comments
78.
by b-man 10mo ago
fixed
79.
by b-man 10mo ago
Indeed. I was trying to make that point on my concluding paragraph.
80.
by b-man 10mo ago
> That may be. What's not specified there is the immense, immense cost of driving a dev org on those terms I'm happy that we agree on the solution, but disagree only if it is cost worthy. About the cost, I took that into consid
81.
by b-man 11mo ago
a fully normalized relation is one where the SQL (say) table in question represents one and only one predicate of your business rules. It is literally impossible for that to be done automatically. Someone needs to look at the resulting code
82.
by b-man 11mo ago
Normalization cannot be done by machines, because it depends on expressing the (and only the) predicate that corresponds to the business rule in question. It requires apprehending the essence of the situation, something a machine cannot do.
83.
Cloudflare outage should not have happened(ebellani.github.io)
161 points by b-man 11mo ago|260 comments
84.
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code(cacm.acm.org)
1 points by b-man 11mo ago|0 comments
85.
Historical Reflections: Artificial Intelligence Then and Now(mags.acm.org)
2 points by b-man 1y ago|0 comments
86.
The long slow death of UML(wolandscat.net)
4 points by b-man 1y ago|4 comments
87.
Dealing with GPT Results, Or, Pots, Kettles and Hallucinations(ebellani.github.io)
2 points by b-man 1y ago|0 comments
88.
In depth analysis of database workloads and benchmarks(database-doctor.com)
2 points by b-man 1y ago|0 comments
89.
AAS: The Metric for Monitoring DB Performance(kylehailey.com)
2 points by b-man 1y ago|0 comments
90.
Evolution and Artificial Intelligence Face the Same Basic Problem(mindmatters.ai)
1 points by b-man 1y ago|0 comments

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