this calls for a revised calendar this wasn't bargained and the unstructural collapsed was supposed to be calendar. we've filed a grievance. so i ask for june 3rd which is now going to be scheduled as professional development day which will be a fur low day. it's a perfect opportunity to do some professional development it would be perhaps professional development on non-inclusive packages. it still is over a month away we have time to plan. we believe there should be no furlough days this year. please vote no and instead restraining order restore you'll of the

this calls for a revised calendar this wasn't bargained and the unstructural collapsed was supposed to be calendar. we've filed a grievance. so i ask for june 3rd which is now going to be scheduled as professional development day which will be a fur low day. it's a perfect opportunity to do some professional development it would be perhaps professional development on non-inclusive packages. it still is over a month away we have time to plan. we believe there should be no furlough days this year. please vote no and instead restraining order restore you'll of the furlough days. thank you. >> thank you any questions from the board or superintendents. seeing none please call roll. >> (calling roll). six i's. all right. next item. i'm going to announce it for the listening public it's items 2, 3 and 4 are available for the review at the desk. we are now on item won a resolution of the board of education inching general obligation refunding bond noted to exposed $80 million. may i hear a motion please and second >> may i have a reading of the provision. >> good evening superintendent and com

is take -- we've taken sap hanna, which is a real-time in memory database that has structured, unstructuredd social, and we can go through the credit card history of one customer, for example, a three-year credit card history, in less than a second. so we don't have people getting, you know, bad notices in the mail or transactions taking place. we stop it at the point of infraction. >> of course, bill, you never get credit for the crisis that you avert. that's one big problem. but i want to ask you the big will she/won't she question. i know recently there's been a lot of speculation about the future of the autonomy business at hewlett-packard. meg whitman has said repeatedly that it is not for sale. but there was a report over the weekend saying that you had been approached about potentially buying it and you had declined. where are those reports coming from and what is the situation from your vantage point? >> first of all, meg whitman is a good friend of mine. and she and i never had such a conversation about autonomy. there was a reporter that incorrectly reported the news, basically, a

need to know how to put it in storming, not in the old-fashioned structured way, but in a more unstructured storage that we see today with technologists, and then they need to look at the data and analyze it. they need to use physical packages, network analysis tools, there's a wide variety of tools and messes available. they might also need good grounding in the latest of statistics. a lot of the statistic messages we use were designed for small data range. there could be need to upgrade or improve them to an extent, and then they might need aceps of visualizing the data if we go into the big data age, and in addition to all of that, we like to view them with a theoretical grounding of not just maltmatics, but perhaps the loss and more general theory. often times people who are doing very well as algorithmists are those who come from the natural scientists, particularly physicists who are well trained to deal with huge amounts of data, either through the astronomy through telescopes and data gathering there or take accelerators, and so that is the kind of mixed interdisciplinary, multidisc

perhapses no the in the old fashioned structured way but a more unstructured storage we seen today. then they need to look at the data and analyze it. they need to use physical packages. they need to use networking analysis. there's a variety of tools and methods available. they might need good grounding in the latest of statistics. a lot of staingt call maineds we use were designed for small data range. it might be need to upgrade or improve them to an extent. and then they might also need some sen of visualizing if we go the big data. and in addition to all of that, we would like to view them with a grounding of not just mathematic but philosophy. a more general theory. oftentimes people who are doing very well are those that come from the natural science. particularly physicists who are well trained to deal with huge amounts of data. either through the astronomy, through telescope and data gathering there or take -- that is the kind of mixed interdisciplinary and mix we need. and unfortunely the few university around the world have programs yet to educate them. i hope that is goi

perhapses no the in the old fashioned structured way but a more unstructured storage we seen today.hen they need to look at the data and analyze it. they need to use physical packages. they need to use networking analysis. there's a variety of tools and methods available. they might need good grounding in the latest of statistics. a lot of staingt call maineds we use were designed for small data range. it might be need to upgrade or improve them to an extent. and then they might also need some sen of visualizing if we go the big data. and in addition to all of that, we would like to view them with a grounding of not just mathematic but philosophy. a more general theory. oftentimes people who are doing very well are those that come from the natural science. particularly physicists who are well trained to deal with huge amounts of data. either through the astronomy, through telescope and data gathering there or take -- that is the kind of mixed interdisciplinary and mix we need. and unfortunely the few university around the world have programs yet to educate them. i hope that is going