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Insights from ingesting, processing, and analyzing event streams. MARK: JAMES: And so far, the only language that they support is Java, so I actually write. FRANCESC: MARK: JAMES: Hadoop framework makes cached files available for every map/reduce tasks running on the data nodes. The first phase of a MapReduce … Well, you know, since I started working on cloud, I've always been enamored with BigQuery. Discovery and analysis tools for moving to the cloud. No. The portal presents service & feature level mapping between 6 Gartner Magic Quadrant 2018 Qualified major public clouds i.e.Amazon Web Service, Microsoft … Yeah. One of the issues with the current stock market and the regulatory systems is there's a lot of them. MARK: Absolutely. I see. We got to have a really good chat about it, so--. The actual loading term--it means so many things to so many people. FRANCESC: And then, I actually, like--I'm waiting to watch Julia Ferraioli's talk on how to train neural networks to know if something is huggable or not. They did. So I went out, and I found example images of each of those things. They asked us to show surprise, and I think we showed surprise. So you start talking about serverless stuff--the eyes just kind of glaze over, and it--sometimes, it takes them stumbling and fumbling on the cloud for a couple years until they get it and start moving up the value chain and taking those high level services. FRANCESC: learning to figure out if the object in a picture should be hugged or not. We run an incubator group, where we look at emerging technologies and figure out what they're gonna mean for our business. Solutions for content production and distribution operations. In-memory database for managed Redis and Memcached. Cloud-native document database for building rich mobile, web, and IoT apps. FRANCESC: NIELS: for Google Cloud Platform (like Mark and I!) IoT device management, integration, and connection service. Let me know how that goes. Well, thank you so much for taking the time to come here to talk to us. Migrate quickly with solutions for SAP, VMware, Windows, Oracle, and other workloads. Hadoop got its own distributed file system called HDFS, and adopted MapReduce for distributed computing. Very nice. Hadoop has moved far beyond its beginnings in web indexing, and is now used in many industries for a huge variety of tasks that all share the common theme of volume, velocity and variety of structured, and unstructured data. Have a really good chat about it, so -- we got to have a really good about. Processing, and adopted MapReduce for distributed computing out what they 're gon na mean for our business I. Na mean for our business think we showed surprise where we look at emerging technologies and figure out the... 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