Looks like this field never took off the way it should have

Very nice demo..Tks..

Amazing

HI 👋

If someone can explain to me how you’re supposed to do a major version DB upgrade with a Debezium connector. It’s such an unbelievable pain that it’s a total dealbreaker. Unless I’m missing something

Dang, Miriah you are an AMAZING speaker, and as someone who works on data engineering systems but doesn't own them (MLOps), this is really valuable.

bullshit buzzwords "cognitive analytics" vomit and a saccharine exhortative tone "quantum computing + graphene + ai" come on

Nice talk! Thanks.

I loved this and wish there was more of it. Thank you! But as noted: 'invoice reconciliation is boring'. I feel like the survival of our species will pivot not on our curiosity, but on our capacity to constrain our desire for novelty enough to solve boring problems.

This is an excellent talk. Thank you, Abhi!

Pointer vs. Value discussion: Based on the Method vs. Function discussion, ADT should be strictly adhered to. Operations that modify the ADT are modeled as functions that take the old state as an argument and return the new state as part of the result. In other words, a function should enforce immutability. The ADT approach helps with concurrency, making the code cleaner and easier to read. As an API user, I shouldn't worry about the state changing when I pass a structure. Of course, the pure ADT model's problem is memory consumption. That's why ADT models are generally implemented in VMs that can routinely find old structures without references and remove them from memory.

The method vs. function debate is absurd. The presenter needs to learn or spend time with OO programming. Class methods don't have to be logically connected to states. I developed in C during the 80s. The problem with structs is that the data is the point of coupling. The class hides data. In OO, the focus is on behavior and not the state. The OO state can be anywhere and can change. The strategy allows the implementation of the module to be changed without disturbing the client programs.

Very interesting presentation. Looks like a very well thought out solution for managing data transformations. I wonder if it will take off like dbt.

Good presentation. Also nice to see that Jimmi Simpson is expanding his horizons.

Awesome presentation!

Thanks for the great presentation!

Really good and informative. I congratulate PeerDB for their recent seed round secured . I see there is a lot of potential in PeerDB where organisations are looking to stream their data to warehouse. I have had a very unique need , I wish PeerDB was a wonderful choice back then.

Great speaker 👏👏

This was super useful, I learned a lot, Thank you!

Great

I really enjoyed this. It was high-level, but hey, a hype-free, facts-only talk about working with generative models? I'll take it!

Best teacher ❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤

You should include LightDash

mother chods what doing here canot learn me detect leran mine concern your life risk at usa houston

This is great. Not the same context (not data), but I do 3 of the 4 roles under incident management, it can get messy!

Beautiful topic, ugly tune. Reason for less likes. Suggestion: improve your tune and try to relax and be calmed.

Is Clockworks still around? Can't seem to find any info :(

... Spark overlord has spoken

Some constructive feedback: you say "like" far too much.

Is content addressing how we store data as something other than files?

Poda patti

Grifter to the max ukposts.info/have/v-deo/g5ieiZ-vio6ppaM.html

very simple explanation but very clear

What is throughput limitation of embedded debezium?

Now I must agree that GPT4 is sentient ( as well)!!

So when you…actually work with production data, big data doesn’t just die simply because you wanna make it so. When you load any data locally faster. This isn’t a duckdb thing it’s a server thing… Just like when load SQL or pandas locally. It’s not SQL itself that’s slow, it’s connecting to it. Because it’s a static API inferences through a driver vs a URL. Like if duckdb even had the option to connect to it remotely, it would become the next “thing that’s dead” apparently.

🤯

Fantastic talk

Kimball

how about if we need the data for 5 mins of a day. Does this approach still works?

I face these exact issues at work. I needed this video

Great presentation. Content as well as aesthetics of slides. May I know how are the slides prepared ?

Great initiative

Great talk!

I did not understand what the sense of supporting Flink ETL in parallel with Spark ETL? Why don't just use Spark Streaming framework instead of Flink ETL? Thank you.

Thank you very much for this presentation. It was very well done and I appreciate the explanation of your choices.

Legendary talk! Loved it.

I hope Ryan Gosling sees this lecture

sums up quite a few nuances about the manifest, really good!

I liked the idea and the presentation. Conversational data analysis is the future. Keep up the great work Unscramble team