{"id":9384,"date":"2025-04-14T15:21:32","date_gmt":"2025-04-14T14:21:32","guid":{"rendered":"https:\/\/sysmanagement.it\/cetra\/"},"modified":"2025-04-14T15:21:40","modified_gmt":"2025-04-14T14:21:40","slug":"cetra","status":"publish","type":"post","link":"https:\/\/sysmanagement.it\/en\/cetra\/","title":{"rendered":"CETRA"},"content":{"rendered":"\n
\"\"
General outline of the CETRA platform<\/figcaption><\/figure>\n\n
\n
TARGA<\/a><\/div>\n<\/div>\n\n

THE PROJECT.<\/h2>\n\n

The infrastructure<\/h2>\n\n

The CETRA Project has built an integrated infrastructure that performs:<\/p>\n\n

(a) the collection of visitor data<\/p>\n\n

(b) the analysis of data (Big Data).<\/p>\n\n

(c) authoring system of production, calendaring and distribution to museum apparatuses of cultural content.<\/p>\n\n

To access a demo on the entire implementation flow, it is necessary to contact the project coordinator(http:\/\/www.cetra-project.it\/contatti\/)<\/a> and book a session (demo 1 and demo 2 are accessible with use of Chrome browser, no authentication needed while, due to COVID-19, we will only conduct webinar sessions regarding demo 3)<\/p>\n\n

DEMONSTRATIVE<\/h2>\n\n

A. Demo 1\/Databooz (Web Reporting Analytics)<\/a><\/h2>\n\n

Intro demo<\/strong>: CETRA conducted monitoring for each Hall\/Area visited (quantity and durations of visits, correlations between museum entry times and visit durations; etc.) and through Data Science type modeling. It enables dynamic <\/strong> visualization<\/strong> of visitor utilization by offering detail-tabular or even mini-graphic<\/strong> information with point distributions relevant to the current selection.<\/p>\n\n

\"\"<\/a><\/figure>\n\n
\"\"<\/a><\/figure>\n\n

B. Demo 2\/Databooz (Zeppelin with Streaming Analytics).<\/a><\/h2>\n\n

intro<\/strong> demo: the demo exposes a Zeppelin notebook<\/strong> on the web, displaying data collected on both cumulative (batch) and ‘near-real time’ museum visit events with timeframes of set amplitude (e.g., every 5 minutes), produced by HADOOP-Spark Structured Streaming (Chrome recommended).<\/p>\n\n

C. Demo 3\/M.E.T.A. (demo only on demand delivered via webinar)<\/a><\/h2>\n\n

intro demo<\/strong>: CETRA created narrative paths<\/strong> centered on the following themes: Plastic of Pompeii, Villa of the Papyri, the Temple of Isis, the Mosaic Hall, and the Epigraphs. The demo consists of a live presentation of the authoring back-end for guidebook creation and management; museum apparatus; content scheduling.<\/p>\n\n

For this demo, it is necessary to request webinar with email request to M.E.T.A.: info@gruppometa.it <\/a>– subject: CETRA project demo request. You will be contacted by M.E.T.A. staff to schedule a demonstration session.<\/p>\n\n

\"\"<\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"

THE PROJECT. The infrastructure The CETRA Project has built an integrated infrastructure that performs: (a) the collection of visitor data (b) the analysis of data (Big Data). (c) authoring system of production, calendaring and distribution to museum apparatuses of cultural content. To access a demo on the entire implementation flow, it is necessary to contact […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-9384","post","type-post","status-publish","format-standard","hentry","category-non-categorizzato"],"yoast_head":"\nCETRA - System Management S.p.A.<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sysmanagement.it\/en\/cetra\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CETRA - System Management S.p.A.\" \/>\n<meta property=\"og:description\" content=\"THE PROJECT. The infrastructure The CETRA Project has built an integrated infrastructure that performs: (a) the collection of visitor data (b) the analysis of data (Big Data). (c) authoring system of production, calendaring and distribution to museum apparatuses of cultural content. 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