chauhanbk1551

3 ms·

1.
Why is modern data architecture so confusing? And what made sense for me(exasol.com)
16 points by chauhanbk1551 1y ago|10 comments
2.
by chauhanbk1551 1y ago
I’m a data engineering student who recently decided to shift from a non-tech role into tech, and honestly, it’s been a bit overwhelming at times. This guide I found really helped me bridge the gap between all the “bookish” theory I’m studyi
3.
Why is modern data architecture so confusing? And what made sense for me(exasol.com)
1 points by chauhanbk1551 1y ago|1 comments
4.
by chauhanbk1551 1y ago
I’m a data engineering student who recently decided to shift from a non-tech role into tech, and honestly, it’s been a bit overwhelming at times. This guide I found really helped me bridge the gap between all the “bookish” theory I’m studyi
5.
by chauhanbk1551 1y ago
Totally agree—seeing such a gap in the PDS benchmark makes me wonder how things would look on a full TPC-H run in the future. If Exasol’s performance scales the same way, it could be eye-opening!
6.
by chauhanbk1551 1y ago
Absolutely! DuckDB’s reputation for single-machine speed is well-earned, but seeing Exasol outpace it—without even leveraging a cluster—really highlights how much thought has gone into its engine. It’s cool to see that “big league” architec
7.
by chauhanbk1551 1y ago
That’s a fair point—DuckDB’s lightweight design and intuitive UX are big reasons it’s gained traction, especially for analytics on the desktop or in embedded scenarios. But when it comes to “primetime” in the sense of enterprise-grade analy