{"id":231124,"date":"2016-05-18T12:08:46","date_gmt":"2016-05-18T19:08:46","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=231124"},"modified":"2025-08-06T12:00:43","modified_gmt":"2025-08-06T19:00:43","slug":"azure-research-training-cornell-2016","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/azure-research-training-cornell-2016\/","title":{"rendered":"Azure for Research Training \u2013 Cornell 2016"},"content":{"rendered":"\n\n

Time<\/b>: 9:00 A.M. to 5:00 P.M.
\nLocation<\/b>: Cornell University
\nBuilding\/room<\/b>: Gates Hall, Maxwell Room 114
\nAddress<\/b>: 107 Hoy Rd, Ithaca, NY 14850Opens in a new tab<\/span><\/p>\n

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This Azure for Research hands-on lab is offered to Cornell University faculty, staff and students who are using large data sets. This lab will help participants acquire an understanding of cloud computing with Microsoft Azure at scale, including an overview of services that enable powerful predictive analytics relevant to any research domain involving cloud-based data analytics. The one-day training will be delivered through a hands-on, scenario-based program<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

Opens in a new tab<\/span><\/p>\n

Azure for Research Training \u2013 Cornell 2016 – Microsoft Research Attendees will be able to access Microsoft Azure on their own laptop during the training and for evaluation purposes for up to six months after the event. The attendee\u2019s laptop does not need to have the Windows operating system installed\u2014Microsoft Azure is accessed via your Internet browser.<\/p>\n

This course is suitable for researchers using any language, framework, or platform. This includes Linux, Python, R, MATLAB, Java, Hadoop, STORM, SPARK, and Microsoft technologies such as C#, F#, Microsoft .NET, Microsoft\u00a0Azure SQL Database, and various Microsoft Azure services.<\/p>\n

Learning outcomes include:<\/p>\n

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\n
\n
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    \n
  • Gaining an understanding of cloud computing and why and when you would use it in scientific or other research<\/li>\n
  • Acquiring hands-on experience in the major design patterns for successful cloud applications<\/li>\n
  • Developing the skills to run your own application\/services on Microsoft Azure<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

    Opens in a new tab<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    8:30<\/td>\nCheck-in and Setup<\/td>\n<\/tr>\n
    9:00<\/td>\nWelcome and Logistics<\/td>\n<\/tr>\n
    9:15<\/td>\nIntroduction to Microsoft Azure<\/td>\n<\/tr>\n
    9:30<\/td>\nBreak<\/td>\n<\/tr>\n
    9:45<\/td>\nAzure Storage and Azure Cross Platform Tools<\/td>\n<\/tr>\n
    10:30<\/td>\nAzure Machine Learning<\/td>\n<\/tr>\n
    12:00<\/td>\n\u00a0Lunch and Group Discussion<\/td>\n<\/tr>\n
    01:00<\/td>\nAzure Internet of Things Using Stream Analytics<\/td>\n<\/tr>\n
    02:30<\/td>\nBreak<\/td>\n<\/tr>\n
    02:45<\/td>\nBig Data Analytics Using Hadoop, Spark, Power BI<\/td>\n<\/tr>\n
    3:45<\/td>\nHigh Performance Computing in Azure<\/td>\n<\/tr>\n
    5:00<\/td>\nDiscussion<\/td>\n<\/tr>\n
    5:15<\/td>\nDay 1 Concludes<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

     <\/p>\n

     Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    This Azure for Research hands-on lab is offered to Cornell University faculty, staff and students who are using large data sets. This lab will help participants acquire an understanding of cloud computing with Microsoft Azure at scale, including an overview of services that enable powerful predictive analytics relevant to any research domain involving cloud-based data analytics. The one-day training will be delivered through a hands-on, scenario-based program.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2016-02-25","msr_enddate":"","msr_location":"","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":true,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13547],"msr-region":[197900],"msr-event-type":[197947],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-231124","msr-event","type-msr-event","status-publish","hentry","msr-research-area-systems-and-networking","msr-region-north-america","msr-event-type-universities","msr-locale-en_us"],"msr_about":"\n\n

    Time<\/b>: 9:00 A.M. to 5:00 P.M.
    \nLocation<\/b>: Cornell University
    \nBuilding\/room<\/b>: Gates Hall, Maxwell Room 114
    \nAddress<\/b>: 107 Hoy Rd, Ithaca, NY 14850Opens in a new tab<\/span><\/p>\n

    \n
    \n
    \n
    \n
    \n
    \n
    \n

    This Azure for Research hands-on lab is offered to Cornell University faculty, staff and students who are using large data sets. This lab will help participants acquire an understanding of cloud computing with Microsoft Azure at scale, including an overview of services that enable powerful predictive analytics relevant to any research domain involving cloud-based data analytics. The one-day training will be delivered through a hands-on, scenario-based program<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

    Opens in a new tab<\/span><\/p>\n

    Azure for Research Training \u2013 Cornell 2016 – Microsoft Research Attendees will be able to access Microsoft Azure on their own laptop during the training and for evaluation purposes for up to six months after the event. The attendee\u2019s laptop does not need to have the Windows operating system installed\u2014Microsoft Azure is accessed via your Internet browser.<\/p>\n

    This course is suitable for researchers using any language, framework, or platform. This includes Linux, Python, R, MATLAB, Java, Hadoop, STORM, SPARK, and Microsoft technologies such as C#, F#, Microsoft .NET, Microsoft\u00a0Azure SQL Database, and various Microsoft Azure services.<\/p>\n

    Learning outcomes include:<\/p>\n

    \n
    \n
    \n
    \n
    \n
    \n
    \n
      \n
    • Gaining an understanding of cloud computing and why and when you would use it in scientific or other research<\/li>\n
    • Acquiring hands-on experience in the major design patterns for successful cloud applications<\/li>\n
    • Developing the skills to run your own application\/services on Microsoft Azure<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

      Opens in a new tab<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
      8:30<\/td>\nCheck-in and Setup<\/td>\n<\/tr>\n
      9:00<\/td>\nWelcome and Logistics<\/td>\n<\/tr>\n
      9:15<\/td>\nIntroduction to Microsoft Azure<\/td>\n<\/tr>\n
      9:30<\/td>\nBreak<\/td>\n<\/tr>\n
      9:45<\/td>\nAzure Storage and Azure Cross Platform Tools<\/td>\n<\/tr>\n
      10:30<\/td>\nAzure Machine Learning<\/td>\n<\/tr>\n
      12:00<\/td>\n\u00a0Lunch and Group Discussion<\/td>\n<\/tr>\n
      01:00<\/td>\nAzure Internet of Things Using Stream Analytics<\/td>\n<\/tr>\n
      02:30<\/td>\nBreak<\/td>\n<\/tr>\n
      02:45<\/td>\nBig Data Analytics Using Hadoop, Spark, Power BI<\/td>\n<\/tr>\n
      3:45<\/td>\nHigh Performance Computing in Azure<\/td>\n<\/tr>\n
      5:00<\/td>\nDiscussion<\/td>\n<\/tr>\n
      5:15<\/td>\nDay 1 Concludes<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

       <\/p>\n

       Opens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"Summary","content":"

      \r\n
      \r\n
      \r\n
      \r\n
      \r\n
      \r\n
      \r\n\r\nThis Azure for Research hands-on lab is offered to Cornell University faculty, staff and students who are using large data sets. This lab will help participants acquire an understanding of cloud computing with Microsoft Azure at scale, including an overview of services that enable powerful predictive analytics relevant to any research domain involving cloud-based data analytics. The one-day training will be delivered through a hands-on, scenario-based program\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>"},{"id":1,"name":"Attendees","content":"Azure for Research Training \u2013 Cornell 2016 - Microsoft Research Attendees will be able to access Microsoft Azure on their own laptop during the training and for evaluation purposes for up to six months after the event. The attendee\u2019s laptop does not need to have the Windows operating system installed\u2014Microsoft Azure is accessed via your Internet browser.\r\n\r\nThis course is suitable for researchers using any language, framework, or platform. This includes Linux, Python, R, MATLAB, Java, Hadoop, STORM, SPARK, and Microsoft technologies such as C#, F#, Microsoft .NET, Microsoft\u00a0Azure SQL Database, and various Microsoft Azure services.\r\n\r\nLearning outcomes include:\r\n
      \r\n
      \r\n
      \r\n
      \r\n
      \r\n
      \r\n
      \r\n
        \r\n \t
      • Gaining an understanding of cloud computing and why and when you would use it in scientific or other research<\/li>\r\n \t
      • Acquiring hands-on experience in the major design patterns for successful cloud applications<\/li>\r\n \t
      • Developing the skills to run your own application\/services on Microsoft Azure<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>"},{"id":2,"name":"Course Agenda","content":"\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
        8:30<\/td>\r\nCheck-in and Setup<\/td>\r\n<\/tr>\r\n
        9:00<\/td>\r\nWelcome and Logistics<\/td>\r\n<\/tr>\r\n
        9:15<\/td>\r\nIntroduction to Microsoft Azure<\/td>\r\n<\/tr>\r\n
        9:30<\/td>\r\nBreak<\/td>\r\n<\/tr>\r\n
        9:45<\/td>\r\nAzure Storage and Azure Cross Platform Tools<\/td>\r\n<\/tr>\r\n
        10:30<\/td>\r\nAzure Machine Learning<\/td>\r\n<\/tr>\r\n
        12:00<\/td>\r\n\u00a0Lunch and Group Discussion<\/td>\r\n<\/tr>\r\n
        01:00<\/td>\r\nAzure Internet of Things Using Stream Analytics<\/td>\r\n<\/tr>\r\n
        02:30<\/td>\r\nBreak<\/td>\r\n<\/tr>\r\n
        02:45<\/td>\r\nBig Data Analytics Using Hadoop, Spark, Power BI<\/td>\r\n<\/tr>\r\n
        3:45<\/td>\r\nHigh Performance Computing in Azure<\/td>\r\n<\/tr>\r\n
        5:00<\/td>\r\nDiscussion<\/td>\r\n<\/tr>\r\n
        5:15<\/td>\r\nDay 1 Concludes<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n \r\n\r\n "}],"msr_startdate":"2016-02-25","msr_enddate":"","msr_event_time":"","msr_location":"","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"February 25, 2016","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"This Azure for Research hands-on lab is offered to Cornell University faculty, staff and students who are using large data sets. This lab will help participants acquire an understanding of cloud computing with Microsoft Azure at scale, including an overview of services that enable powerful predictive analytics relevant to any research domain involving cloud-based data analytics. The one-day training will be delivered through a hands-on, scenario-based program.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/231124","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/231124\/revisions"}],"predecessor-version":[{"id":1147336,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/231124\/revisions\/1147336"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=231124"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=231124"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=231124"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=231124"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=231124"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=231124"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=231124"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=231124"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=231124"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}