


{"id":882,"date":"2020-01-13T20:14:17","date_gmt":"2020-01-13T20:14:17","guid":{"rendered":"http:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/?p=882"},"modified":"2020-01-13T20:14:17","modified_gmt":"2020-01-13T20:14:17","slug":"sap-hana-sap-datahub-and-sap-analytics-cloud-for-real-time-analysis-of-household-electricity-consumption","status":"publish","type":"post","link":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/2020\/01\/13\/sap-hana-sap-datahub-and-sap-analytics-cloud-for-real-time-analysis-of-household-electricity-consumption\/","title":{"rendered":"SAP HANA, SAP Datahub and SAP Analytics Cloud for real-time analysis of household electricity consumption"},"content":{"rendered":"<p class=\"lead\">Public Presentation by: J\u00fcrgen Wiebe and Jason Pick \/ CONET<\/p>\n<p>Date: Thursday, 16.01.2020, 11:00 am<\/p>\n<p>Location: Technische Hochschule K\u00f6ln, Campus Gummersbach, Raum 2108<\/p>\n<p>Abstract: \u00a0Surveys of\u00a0 the research institute BARC rank real-time analytics among the top 10 BI-trends. A reason is that companies achieve additional value by incorporating data-based insights into business decision-making with minimal latency. Different providers rise to this challenge with different architectures and solutions. The presentation will discuss an approach for real-time analytics based on SAP Stack, SAP Hana, (SAP) Datahub and (SAP) Analytics Cloud.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Public Presentation by: J\u00fcrgen Wiebe and Jason Pick \/ CONET Date: Thursday, 16.01.2020, 11:00 am Location: Technische Hochschule K\u00f6ln, Campus Gummersbach, Raum 2108 Abstract: \u00a0Surveys of\u00a0 the research institute BARC rank real-time analytics among the top 10 BI-trends. A reason is that companies achieve additional value by incorporating data-based insights into business decision-making with minimal&#8230;  <a href=\"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/2020\/01\/13\/sap-hana-sap-datahub-and-sap-analytics-cloud-for-real-time-analysis-of-household-electricity-consumption\/\" class=\"more-link\" title=\"Read SAP HANA, SAP Datahub and SAP Analytics Cloud for real-time analysis of household electricity consumption\"><?php _e(\"Read more &raquo;\",\"wpbootstrap\"); ?><\/a><\/p>\n","protected":false},"author":27,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7255],"tags":[52],"class_list":["post-882","post","type-post","status-publish","format-standard","hentry","category-presentations","tag-bi"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/posts\/882","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/users\/27"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/comments?post=882"}],"version-history":[{"count":1,"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/posts\/882\/revisions"}],"predecessor-version":[{"id":883,"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/posts\/882\/revisions\/883"}],"wp:attachment":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/media?parent=882"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/categories?post=882"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/mastercomputerscience\/wp-json\/wp\/v2\/tags?post=882"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}