joined by satya nadella no tell us what about about your your your thoughts on this event in general you know last year was about Big Data this year it's a little bit more focused a little bit broader focus on the modern enterprise as they say what's your take on kind of >> this event it's a great event on this is my first time here as well and having a chance to even see a couple of panels and just participate i think this notion of a modern enterprise is for real i think that it is re-imagination of what does infrastructure mean what do applications mean inside of the enterprise and we're going through this kak tonic shift which we participate in and so to have a forum like this to >> discuss that was just great so let's dig into that a little bit what you know what makes the what makes the moderate enterprise it's it's certainly a cloud and virtualization you've got the Big Data piece kind of the DevOps model of application development how do you kind of define what all bring to bringing together all these different elements >> what makes a modern enterprise yeah one of the things that I like to sort of make sure we focus on I work on the infrastructure business at Microsoft so >> if you're in the infrastructure business the key thing is to be in touch with the applications and it turns out in our own case today we are building a pretty diverse set of applications both consumer and enterprise so we're building vein which is an applied machine learning application real in building office 365 which is an enterprise focus collaboration communication application we're building dynamics and another enterprise crm ERP in the cloud application and what have you so that diversity of applications makes you rethink what is the infrastructure needed from storage compute as well as the network and so we are building a new operating system for the modern enterprise to be able to deploy these modern applications so that's kind of how I conceptualize I would say there are four major elements to it the first one is it's inside of the data center you have much more of a software driven by descent where you're orchestrating your compute storage and network in support of your applications either at the data center or multi data center scale because there's not a single atom rise that's not using some public cloud provider or another service provider in addition to what they already are virtualizing inside their own private cloud so that is all a software control plane and so we are really thinking about what is the modern operating system that enables you to manage the data center a second dimension would be the what is driven through consumerization of IT I like to describe it as transforming IT to be much more people century so you want end-users to adopt the devices they want and still have access to all their applications and data and yet aighty needs to be able to set compliance and policy so how do you really reimagine that is another dimension big data is something you reference there's not going to be a single application that's not a big data application and so those are the major major teams and the last thing I would say is this DevOps so not only have you built the application but it's even the life cycle around the applications being reimagined how developers and operations professionals come together in support of an ongoing improvement and continuous integration these four megatrends I think constitute a modern enterprise >> infrastructure interesting so let's dig into a little bit about what you mentioned about the use of kind of public cloud infrastructure as well as your internal data center so you've got these hybrid environments they're starting to emerge again pretty much software lead a software led infrastructure is what we're calling it a wiki bond how do you go about actually making it possible for for CIOs and their teams and to actually manage those environments in as efficient way as possible you know making decisions about which applications are deployed in the public cloud which it deployed in your data center how they interact potentially applications that are drawing on data from both spots it's obviously can get very complex so you know Microsoft is one of those public cloud providers with windows so how do you approach that product so >> if you sort of take what you just described which is if you you sort of start with the design point that there will be a public cloud there will be a private cloud and a service provider cloud then how you think about the software control is going to be defined by that design so it's not going to be narrowly defined as bring everything into my data center and I'll help you manage it but it is actually distributed so I think of this is the true fruition of distributed computing and we believe in that so then what are the things that matter first is identity so anything whenever things get distributed the most important thing that brings back things together is actually identity of users and identity for resources so active directory was a great resource for many enterprises in terms of how they came the complexity of the previous generation of client server now we have replumbed and reimagined active directory with Azure Active Directory so this consistency in directories helps IT administrators manage this complexity the next one is virtualization so not only would you be able to virtualize on your private cloud you should be able to move the same work cloud workload which is virtualized to any of these other clouds so you need a degree of guarantee that the performance characteristics of a virtualized workload get maintained across all so that's another thing that with our hyper-v investments and our add your investments we are in a making sure that happens the other one would be management so with if you can be sitting on the system center management console in the orchestrator and looking at a workload which could be in fact in 11 of these clouds or in fact the tears of a single app could be split which is the front end is on azure the back end is back in on premise and so that's also very very important to have a management tier which is the control plane that allows you to manage this complexity and lastly it's the consistency of the application platform Excel so if you're building and development you never want to be in the state where you build a great app but you can never check out so if you build it in the public cloud in the case of azure you should be able to take it and run it on a private cloud or on a service provider so these four things are on identity management virtualization and application platform I think is the core investment you've got to make to help enterprises truly adopt the cloud while you know it's >> complex but you gotta tame the complexity and then of course be what you're talking about it really is a lot of data being generated companies of course want to want to start taking an end of that data they want to analyze it they want to actually take those insights and turn them into either applications or perhaps convey them to executives and others in terms of visualization and of course one of those underlying platforms is to do talk about Microsoft's approach to Hadoop I know you're working with Hortonworks you actually kind of discontinued working on your own Big Data technology when you realize I think that you know who Duke was gonna is going to become the de facto standard so talk about how you're making it possible to bring the dip into this environment where more and more companies are looking to ring that it may be as a big data hub kind of store a lot of data and then feeds out to applications different workloads what is your approach to actually making that I guess enterprise ready yep and making it easy to get it get started and then term you know maybe science projects into really production whether the quantity I >> mean this notion of being able to take data and convert it into insights in support of enterprise goals is sort of the holy grail of this moment and so one of the things that we are actively doing is to bring a lot of the traditional value we've always had if you think about the momentum we have with our self-service bi capabilities on the edge of data which is Excel SharePoint sequel analysis services is where all data goes to in order to be able to drive in sites within and you know with it with end users because at the end of the day humans will be involved to be able to drive inside out of all of this data so now the question is how do we take that edge loop and connected with the information production which is upstream and that is where we are completing the story with having HD inside haven't even a relational interface on top of HT insight for in-memory ad-hoc query analysis like a data warehouse on top of it which i think the Hadoop community itself is adopting which is a sequel interface on Hadoop is probably one of the more talked about things nowadays and so this notion of having a complete data platform everything from MapReduce to stream processing to sequel like query interactively and then empowering end-users and workflows with data around their users which share for in Excel where we've invested in things like a power pivot and Power View which are actually powerful in-memory databases in fact I would say the most powerful in-memory database now is power view inside of Excel from where you can issue a sequel I mean basically a hive query to HD inside and populate millions of rows in a tabular column form that you're very familiar with we think that that democratization of big data is going to be very very important to acceptance of it as you said it from science projects or just being in the data science department to bring ubiquitous so we've only got time for >> one more question so just love to get your kind of future outlook what are some of the key priorities for you and your group over the next day 6 to 12 >> months I mean the key thing for us is really bootstrapping our cloud business we've got some fantastic traction with office 365 it's really doing very well in the q3 earnings we talked about how we have known a run rate basis a billion dollars in revenue going to office 365 and many customers who are to office 365 never bought an exchange server from so we're even it's not even zero something really in the short run it please and so we're very glad with that and there is a sure is just a natural complement to any customer who's already got office 365 sharepoint extensions the end user bi Active Directory administration all of these are sort of very natural extensions but agile itself now has got very very significant momentum yesterday we talked about how as urine as your services with all of our service provider partners has also got a billion dollars in revenue so that means when it comes to the core of the enterprise and their move to the cloud which is going to be complimenting a lot of what they're already doing in on premise is something that we're a pretty major player on and if anything we want to be solving the here and now practical problems with a forward-looking vision around identity around consistency of the management plane around virtualization compatibility around the application platforms and I think that that's what we're really up to in the immediate future all right yeah I think you really hit on something there with these gonna be high route deployments they're going to you know just much like in big data you know dupe isn't going to come in and replace your database your relational database and neither is the cloud whenever place your internal data center they've got to work together it sounds like you guys are working hard to kind of make that as seamless of the proposal as possible for your clients so I slept in Delaware Microsoft appreciate you coming on the cube thanks very much well hope you come back and join us about 39 thank you so much we'll be right back from the excel at Stanford symposium with our next guest writing for this

hi everybody welcome back to the Q we're here live at the Stanford accel partners summit I should say event here at Stanford University I am joined by Satya Nadella who is the president of server and tools baby Scholars Program with the Q I thanks so much for coming on appreciate it I think first time here on the cube we've had of course lots of folks on Microsoft on in the past and always a great to get your your take so tell us a little bit about your your your thoughts on this event in general you know last year was about big data this year it's a little bit more focused a little bit broader focus on the modern enterprise as they say what's your take on kind of this events it's a great event down this is my first time here as well and um having a chance to even see a couple of panels and just participate I think this notion of a modern enterprise is for real I think that it is a reimagining of what does infrastructure mean what do applications mean inside of the enterprise and we're going through this tectonic shift which we participate in and so to have a forum like this to discuss that was just great so let's dig into that a little bit what you know what makes the what makes the modern enterprise it's it's certainly a cloud and virtualization you've got the big data piece kind of the DevOps model of application development how do you kind of define what all bring to bringing together all these different elements what makes a modern enterprise yeah one of the things that I like to sort of make sure we focus on I work on the infrastructure business at Microsoft so you're in the infrastructure business the key thing is to be in touch with the applique and it turns out in our own case today we are building a pretty diverse set of applications both consumer and enterprise so they're building Bane which is an applied machine learning application we learn building office 365 which is an enterprise focused collaboration communication application we're building dynamics and another Enterprise CRM ERP in the cloud application and what have you so that diversity of applications makes you rethink what is the infrastructure needed from storage compute as well as the network and so we are building a new operating system for the modern enterprise to be able to deploy these modern applications so that's kind of how I conceptualize I would say there are four major elements to it the first one is it's inside of the data center you have much more of a software driven data set where you're orchestrating your compute storage and network in support of your applications either at the data center or multi data center scale because there's not a single enterprise that's not using some public cloud provider or another service provider in addition to what they already are virtualizing inside their own private cloud so that is all a software control plane and so we are really thinking about what is the modern operating system that enables you to manage the data center a second dimension would be the what is driven through consumerization of IT I like to describe it as transforming IT to be much more people central so you want end-users to adopt the devices they want and still have access to all their applications and data and yet IT needs to be able to set compliance and policy so how do you really arean that is in another dimension big data is something you referenced there's not going to be a single application that's not a big data application and so those are the major Keane's and the last thing I would say is this DevOps so not only have you built the application but it's even the lifecycle around the application is being reimagined how developers and operations professionals come together in support of an ongoing improvement and continuous integration these four mega trends I think constitute a modern enterprise infrastructure matrix so let's dig into a little bit about what you mentioned about the use of kind of public cloud infrastructure as well as your internal data center so you've got these hybrid environments that are starting to emerge again pretty much software lead a software led infrastructure is what we're calling it a wiki bond how do you go about actually making it possible for for CIOs and their teams and to actually manage those environments in an efficient way as possible you know making decisions about which applications are deployed in the public cloud which are deployed in your data center how they interact potentially applications that are drawing on data from both spots it's obviously can get very complex so you know Microsoft is one of those public cloud providers with Windows Azure so how do you approach that problem so if you sort of take what you just described which is if you you sort of start with the design point that there will be a public cloud there will be a private cloud and a service provider cloud then how you think about the software control is going to be defined by that design so it's not going to be narrowly defined as bring everything into my data center and I'll help you manage it but it is actually distributed so if I think of this is the true fruition of distributed computing and we believe in that so then what are the things that matter first is identity so anything whenever things get distributed the most important thing that brings back things together is actually identity of users and identity for resources so Active Directory was a great resource for many enterprises in terms of how they came the complexity of the previous generation of client server now we've replumbed and we my Active Directory with Azure Active Directory so this consistency in directories helps IT administrators manage this complexity the next one is virtualization so not only will you be able to virtualize on your private cloud you should be able to move the same work cloud workload which is virtualized to any of these other clouds so you need a degree of guarantee that the performance characteristics of a virtualized workload get maintained across all so that's another thing that with our hyper-v investments and our agile investments we are making sure that happens the other one would be management so with if you can be sitting on the system center management console and the orchestrator and looking at a workload which could be in fact in one one of these clouds or in fact the tears of a single application could be split which is the front end is on Azure the back end is back in on-premise and so that's also very very important to have a management tier which is the control plane that allows you to manage this complexity and lastly it's the consistency of the application platform itself so if you're building a development you never want to be in the state where you build a great app but you can never check out so you if you build it in the public cloud in the case of azure you should be able to take it and run it on a private cloud or on a service provider cloud so these four things are on identity management virtualization and application platform I think is the core investment you've got to make to help enterprises truly adopt the cloud while you know it's complex but you gotta tame the complexity and then of course what you're talking about it really is a lot of data being generated companies of course want to want to start taking advantage of that data they want to analyze it they want to actually take those insights and turn them into either applications or perhaps convey them to executives and others in terms of visualization and of course one of those underlying platforms is to do talk about Microsoft's approach to Hadoop I know you're working with Hortonworks you actually kind of discontinued working on your own big data technology when you as I think that you know Hadoop was given is going to become the de facto standard so talk about how you're making it possible to bring the dupe into this environment where more and more companies are looking to bring that in maybe as a big data hub kind of store a lot of data and then feeds out to applications different workloads what is your approach actually making that I guess Enterprise ready yeah and making it easy to get and get started and then turn you know maybe science projects into really production whether the point is right I mean this notion of being able to take data and convert it into insights in support of enterprise goals is sort of the holy grail of this moment and so one of the things that we are actively doing is to bring a lot of the traditional value we've always had if you think about the momentum we have with our self-service bi capabilities on the edge of data which is Excel sharepoint sequel analysis services is where all data goes to in order to be able to drive insights within and you know with it with end users because at the end of the day humans will be involved to be able to drive inside out of all of this data so now the question is how do we take that edge loop and connected with the information production which is upstream and that is where we are completing the story with having HD inside having even a relational interface on top of HD insight for in-memory ad hoc query analysis like a data warehouse on top of it which I think the Hadoop community itself is adopting which is a sequel interface on Hadoop is probably one of the more talked about things nowadays and so this notion of having a complete data platform everything from MapReduce to stream processing to sequel like query interactively and then empowering end-users and workflows with data around end users which share or in Excel where we've invested in things like a power pivot and Power View which are actually powerful in-memory databases in fact I would say the most powerful in-memory database now is Power View inside of Excel from where you can issue a sequel I mean basically a hive query to HD inside and populate millions of in a tabular column form that you're very familiar with we think that that democratization of big data is going to be very very important to acceptance of it as you said it from science projects or just being in the data science department to bring ubiquitous so we've only got time for one more question so just love to get your kind of future outlook what are some of the key priorities for you and your group over the next say six to twelve months I mean the key thing for us is really bootstrapping our cloud business we've got some fantastic traction with office 365 it's really doing very well in the q3 earnings we talked about how we have a moving on a run rate basis of billion dollars a revenue going to office 365 and many customers who are coming to office 365 never bought an exchange server from so we're even it's not even 0 some really in the short run at least and so we're very glad with that and there is a j''r is just a natural complement to any customer who's already got office 365 SharePoint extensions the end user bi Active Directory administration all of these are sort of very natural extensions but Azure itself now has got very very significant momentum yesterday we talked about how Azure and Azure services with all of our service provider partners has also got a billion dollars of revenue so that means when it comes to the core of the enterprise and their move to the cloud which is going to be complementing a lot of what they're already doing in on-premise is something that we're a pretty major player on and if anything we want to be solving the here and now practical problems with a forward-looking vision around identity around consistency of the management plane around virtualization compatibility around the application platforms and I think that that's what we are up to in the immediate future alright yeah I think you really hit on something there with these gonna be hybrid deployments they're going to you know just much like in big data you know doop isn't going to come in and replace your database your relational database and neither is the cloud going to replace your internal data center they've got to work together it sounds like you guys are working hard to kind of make that as seamless of the proposal as possible for your clients so Satya Nadella for Microsoft we appreciate you coming on the queue thanks very much well hope you come back and join us about three thank you so much we'll be right back from the Excel Stanford symposium with our next guests ready for this

>> Wait. Okay, We're back. Live here at Stanford University Alumni Center. What a great day. Stanford loved this place. A lot of brilliant minds here. And this is the Stanford Excel Seventeenth annual symposium called Excel Enterprise. That's the hashtag falls on Twitter here with Jeff Kelly. Silicon angles. Exclusive coverage is too cute. Our flagship program about the events extract the signal from the noise. And our next guest is Amanda Richardson, the head of product. That president. Welcome to the Cube. >> Thank you. Awesome. >> So really amazing event. I'LL see a lot of big minds here, and we're also live in San Francisco at the age of us somewhere all the developers air geeking out with Amazon and all the tools you the head of product President, tell us what is President. Tell us what you're doing here. >> So, President, a collaborative presentations will. So we look forward, Teo, helping our users create idea, share ideas and really have a platform for uh, putting. Their message is out there and better sharing with the audience is So we're here because we love excel. I'm here because I'm a GSP alum and any reason to get back to the farm is a good one, and we just think it's a great place to meet people piers and share ideas and hopefully learn from each other's mistakes. >> So what? You're the new business school president? >> So I got you a job before the new business school. It's pretty awesome, but I kind of want to go back. I was joking with my husband this morning. I think it may be time for a phD. >> Yeah, Sanford's Grace, but as the head of product, you can. You still get the geek out? >> Yeah, >> And look at also the market side. You gotta look into engineering also product. So in this whole enterprise two point Oh, thank you just never happened. It's still happening. It's like going and going. But now with cloud with mobile, it's all happening right? So I got that cloud mobile social thing going on. We've been covering. So knowing it's looking angle. What are you seeing now as the market drivers for those two forces cloud and mobile and social is all that coming together? >> Um, it is all coming together, and I think you know, we call it like the consumerism ation of enterprise. Right. So, um people have one phone, one device, one presence. I think five years ago you probably tried to keep your world separated between your enterprise, professional life and your personal life, and now it really all comes together. So you've gotta solve the problems for the enterprise users in the same way you solve problems for consumers, right? What are their big needs? What are their pain points? Where do they find value, focus on those areas and make it easy to use on DH? I think that's what's finally accelerating on bringing really cool, sexy problems to the enterprise users. You just bring a consumer approach. One >> of the biggest barriers that you see in that adopts House of consumer ization of consideration of the enterprise has been talked about for many, many years and finally was seeing a ray of hope. >> Yeah, wave and making the lives the end of the tunnel >> sunrise a face. So it's there, it's there. So one of the key drivers that are helping this go faster now versus years before Oh yes, next two years next year. >> Um so I think I think mobile is actually a great point, so you can't keep pieces like Evernote, Dropbox President out of your users hands. I mean, I remember being in meetings with manager meetings five, seven years ago, talking about how we're gonna ban Facebook, and that just seems quaint now because it's all in your phone and you can't tell people not to bring their phones to work. So I think Mobil's had a huge impact and getting more of these products and tools into the hands of the consumers and out of really this kind of big brother control type situation, Thie Other thing I think that's happening is just worlds are blending together and the availability of of tools on the Internet. It sounds silly to say, but, you know, you can remember five, ten years ago, you couldn't access your perhaps it's near p program. Or perhaps this even productivity tools from home. There was a time when we all had to remote in and yeah, I mean, I'm dating myself and showing why I color my hair. But it really is. You know, the world is changing, and I think, thank goodness for the Internet, thanking us for the Web and thank goodness for >> Mo. It's interesting you mention the dating yourselves first. You look fabulous, you know, you know world. I mean, I'm older, I know how old I am. And I just had the twenty seven year old kid on drop box. So you know, that's young. But, you know, it's a lot of senior folks now. This enterprise market is shifting from consumer. You seeing some of the leaders are those experienced managers because they've lived through the right client server that lived through the that first wave. So is that just because we're more, there's more people that know that market more amusing? You're seeing a lot more cos they're not not the twenty something. It's over thirty five over forty. >> Yeah, eso no comment on age. But Thea, I think what excites me about the space I can just talk about myself is you know, I have a consumer background. So it was super fun to be in consumer five ten years ago when you know Internet was taking off. He finally have a platform on which you have millions of users to test and learn and grow. And now that you can apply that to enterprise, I mean, I think it's new challenges but similar challenges. And I really think one of the more interesting things is that it's actually solving really compelling problems. One of the you know, um, I think there are a lot of opportunities out there around photo sharing and, um, Geo location and, you know, putting together your social graph. But you know, where I find passion and energy is actually providing value and solving problems and really being a key part of someone's someone's life, That's what gets me here. Hope that keeps others here. >> So let's talk about you're solving really interesting problem. What is the mean? What is your wife? What is president about? Why are you doing what you're doing? Is it simply, you know, we've talked. We hear a lot about the concerns around power point and right death by the PowerPoint slide and that kind of thing is that really, uh, the issue you've set out to overcome our tell us a little about what you do and why you do it. >> So, um, we certainly get compared to power point a lot, but where we, uh problem we really like to solve on on a more grand scale is that we believe ideas are best shared and best collaborated about. So if you think of ideas like jeans, they can come together. They can be built on each other. A great example of president uses. There is an organization in Syria rebel organization that used President to really be the platform to explain their ideas and what the issues really were in a quick, meaningful, impactful way. I think having a platform by which you can share ideas and better understand each other can apply Teo making the world a better place but can also apply Teo helping scientists share their information around the globe, building on ideas and I know even within president, we use the tool. Teo better communicate product road maps to engineering so that we can better align. I think it's all about communication. Helping ideas grow faster and helping the world to be a more understanding place. I mean, it's a little peace, love and happiness, but it it is why we get out of bed every morning. We really think because he's a great tool for people to be the platform for them to share their ideas. And >> so I'm actually president User. I've started using recently. Actually, I downloaded. You can see here about the kind of downloaded the desktop version, and I were working on the plane that was coming out here from Boston. But, you know, it's certainly a very interesting platform. It's very different from Power. Point certainly creates much, much more compelling type of way to present information. Uh, what are some of the design principles that's had a product? What are some of the things that you really kind of court your philosophy in terms of design, find it and and implementing our should say, creating the kind of user interface and the way people interact with information? >> Yes. So I'm really proud of President of the co founders have really doubled down, if you will, on our design effort. So we have a full time user research staff. We have a full time data research that we have a full time design staff, all three different roles, all three big teams. I'm really focused on understanding our users. So we saw for key user problems in terms of design principles, specifically that we focus on, we like to, uh, help users understand structure of their ideas. So one of the challenges of President. For those who come from a power point model is everything should be linear. And one of our principles is that not all ideas are linear. There may be areas where we consume into different pieces. So helping to communicate that that is particularly important for us and how to provide simple structure. Um, I think the other ideas, uh, helping to make it beautiful. We believe that words are better. What are? Excuse me? Pictures are better. Way to communicate in words. Um, you know, death by bullet point >> thing is a common affliction, >> eh? So how can you, uh, say something with a picture that would have taken a hundred words? And that's what we try to do. >> So you know what? Your problem is? Both kind of software service, but also down with stop version. Right? Mentioned. But you know what? The software service Mom, you're able, I assume, to collect data on the way people are using your product, right. How does kind of that type of information do you incorporate that into the design process and making changes to the product come to talk about how you used data analysis really >> product. Yeah. So, you know, I believe the role of product managers to understand the user intimately have a point of view on a strategy, but then early validate through data. So not to Pripyat. We do have data about your desktop PC, which is what >> I covered. Big data for what? You have no problem with that. >> So we focus a lot on one or user stew. Do what makes them successful way try toe. Have measurable outcomes for all of our initiatives, whether its user behavior or defining what a good presidents are really helping users to solve their problems. We use data tio, on the small level, optimized and on a big level really define an objective and a goal. So how can we really push things through the funnel to get to the user to their success point, which we measure is giving a presentation. >> So both find ten of tactical issues, but also a kind of inform your larger >> are big company KP eyes. They're all based on data. >> Okay, thanks for coming on The tears. We gotta break that. Their next guest coming in lining up all of the crowd's breaking up the Silicon Angles Exclusive coverage of Stanford Excel seventeen Annual symposium. Hashtag Excel Enterprise Where it sells Doing a lot of great enterprises is Cuba's looking angles. Coverage of Stanford Excel Symposium right back with our next guest after this short break.