Transcript

Hi, everyone. Just when I tackle champion here at Comfort and I'm joined by Yahshua with one of our incredible product managers who manages our product table flow. So for the uninitiated, can you tell the audience what table flow is? Sure, table flower, I would say it's the easiest feature to convert streaming data into tabular data meet about work with Delta Lake. It is the easiest and the fastest route passing all the custom material, legacy pipelines and so on and so forth. So I know we have some new features. We introduced back in current in New Orleans. One of them is upsert support. So I know that's fantastic for anyone who's doing CDC wanna get that true update plus insert functionality. But there was also a couple features around dead letter queues and BY OK, don't tell the audience about those. Sure, we have launched a ton of exciting stuff at current New Orleans. So we start with upsert, which is the primary feature for CDC use cases. Then we have DLQ debt letter Q. The customer wants to like analyze the field data. You can send it to your custom topic and then see like why the serialization issue is present and then you can resend the data back to the Kafka talk back to the Kafka topic and then send it back, send it to the data lake or data warehouse. Then we have baby OK, which is very important for regulated and sensitive industries such as healthcare, financial services, insurance and so on and so forth. Apart from that, we are excited to launch. We launched like general availability of Delta Lake and Unity Catalog, which is a huge plus for our database customers, right? So now both. Iceberg tables and Delta tables are GA. Yes, that's got it. And now you said this is easy, but this seems really complicated. No, it does not. I can just show you a quick demo there. Alright, alright, why don't you put your money where your mouth is and show us how easy table flow actually is. OK, sure. So you can choose any topic. For example, we're choosing like the order topic. So you have the option of enable table flow right on the UI. So you just click Enable table flow so you have the option to choose. Either iceberg or Delta like cardboard and we have the added flexibility to choose both of these topics. Then you have to configure the storage. You can bring your own St. bucket. It's very simple. It's a typical way of how you configure external storage with Conflict Cloud and then done, you can see that Iceberg is syncing. It's as simple as few clicks. Yeah, so you're hurting here, folks. If you want to bridge your data in motion to your analytical state, there's no easier way than Table Flow. With the new features we have like DLQ and Upstart support, it's never been better. It's never been easier. I highly recommend you check it out today.