GCP partner panel: Learnings from real world cloud migration, Data Processing & OSS: The NEXT Generation, Build smart applications with your new superpower: cloud machine learning, Analyzing market events at 34M reads/sec and 22M writes/sec with NoOps on GCP. That's not something that we allow. Thank you. JULIA: I am great. Very cool. Right? Mine too. Yes. Computing, data management, and analytics tools for financial services. Service for running Apache Spark and Apache Hadoop clusters. FRANCESC: Yeah. They both spoke about the evolution of big data processing in the open source What else do we have? It'll be fun to watch. FRANCESC: MARK: FRANCESC: Have you used it? FRANCESC: HDFS was similar to the Google File System and they even called the data processing layer MapReduce, just like Google did. Theyâre local. That was very cool, and I heard the audience clapping to that. That's the inviter that they can go in on, and they'll be able to connect from there. IoT device management, integration, and connection service. We're also on slack. So we're here with Roman Irani, and he actually came to ask some good questions, and we decided that maybe this could be the question of the week. 28. Connectivity options for VPN, peering, and enterprise needs. Definitely gonna think there's some good stuff on the horizon. Components for migrating VMs into system containers on GKE. Romin Irani asked when to use App Engine with Go. Yeah. Migrate and run your VMware workloads natively on Google Cloud. Do you want to give us, like, a really quick, 30-second synopsis of what you just presented on stage? That sounds good. So we've got for our listeners today, I think, a bunch of interviews that we did with speakers at the event. FRANCESC: FRANCESC: I like--I like a lot of the machine learning prediction stuff. We had a lot of new ideas that we kept doing, but it was this really homogenous environment, right? We are also on Reddit, on the subreddit r/GCPPodcast. FRANCESC: So we've got five speakers, or actually more than that, because we have some people coming in past. NIELS: Streaming analytics for stream and batch processing. 2 presents an overview of MapReduce. That's great. Yeah, if you really needed to. Private Docker storage for container images on Google Cloud. Yeah. Thank you. What does that really mean? All right. Oh, my favorite announcement. You know, the usual suspects. MIKE: That sounds like a lot of information, so if anyone is more interested, the keynote was recorded, and you should definitely check that--the video. JAMES: MARK: Nice. But I think the realization comes--is you've got to get people on a platform first. JULIA: Well, okay. Thank you very much for joining me today and joining me for GCPNext. So I know you were speaking about some interesting stuff here at GCPNExt. Data warehouse to jumpstart your migration and unlock insights. Sect. 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