MARK: So we're gonna talk to them, and then we also have a question of the week from someone who came by and talked to us at the event as well. MARK: Okay. MARK: Interactive data suite for dashboarding, reporting, and analytics. FRANCESC: FRANCES: That is good. Processes and resources for implementing DevOps in your org. A year after Google published a white paper describing the MapReduce framework, Doug Cutting and Mike Cafarella created Apache Hadoop. MARK: Then, you will need to move to manage VMs, for instance. Did you get the chance to play a little bit with the playground activities? Very interesting. FRANCESC: MARK: And we do a lot of work on the Google platform. But it's nice to see where--you know, because right now, machine learning is an art and a science. Important thing is that all the Go routines will be stopped when the HTTP handler finishes. I'm pretty happy with how all that turned out. So in our talk yesterday, and Frances just mentioned this, the mapreduce paper kind of set off two parallel streams, and one at Google ultimately led to cloud Data Flow, and another was the open source community took the mapreduce paper and created just a whole ecosystem around it. Have you used it? MARK: AI with job search and talent acquisition capabilities. Well, thank you so much, Julia, for being here, taking the time to talk to us today. He was part of the GCP partner panel: Learnings from real world cloud migration. They sound great. NIELS: We run an incubator group, where we look at emerging technologies and figure out what they're gonna mean for our business. FRANCESC: MARK: This is a podcast, so you couldn’t see it anyway. The data from a MapReduce Job can be fed to a system for online processing. Object storage for storing and serving user-generated content. Thanks to Roman Irani for coming by the booth and asking such an interesting question. You know, and we built this stuff. So we really went deep on the right way to do data processing, but we were able to go very deep because we were very homogenous, whereas externally, the ecosystem looks very different. Yeah, yeah. ROMIN: So you still have the--that scalability and the close-to-zero management, but you're--but you're now using C or the file system or whatever you need, and otherwise, yeah. Encrypt data in use with Confidential VMs. MARK: Speech synthesis in 220+ voices and 40+ languages. Data archive that offers online access speed at ultra low cost. And the challenge is most of these enterprises are just figuring out what cloud is. You should touch--, JULIA: So these were things that people said that they would hug, and it was really important to get things that were organic and inorganic. I would love to say hi. Most videos from GCP Next 2016 are already available on YouTube. Sensitive data inspection, classification, and redaction platform. 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