{"id":3629,"date":"2019-01-29T18:06:15","date_gmt":"2019-01-29T17:06:15","guid":{"rendered":"https:\/\/www.ch-open.ch\/?p=3629"},"modified":"2019-01-30T09:22:03","modified_gmt":"2019-01-30T08:22:03","slug":"obl-elasticsearch-in-finance-processing-lessons-learned-with-big-data","status":"publish","type":"post","link":"https:\/\/www.ch-open.ch\/fr\/obl-elasticsearch-in-finance-processing-lessons-learned-with-big-data\/","title":{"rendered":"OBL \u201eElasticsearch in Finance Processing \u2013 Lessons Learned with Big Data&#8221;"},"content":{"rendered":"<p>Elasticsearch ist ein beliebtes Open Source Produkt, das vielf\u00e4ltige L\u00f6sungsszenarien anbietet. Der Einsatz von umfangreichen Suchfunktionen ist nur ein Szenario im Elastic Stack. Ist Elasticsearch f\u00fcr Big Data und Hochverf\u00fcgbarkeit geeignet?<\/p>\n<p>Empfohlen von Elastic bietet sich Elasticsearch als Datenspeicher an. Sichte den Datenschatz, gewinne neue und unerwartete Einsichten. Kann Elasticsearch dieses Versprechen halten?<\/p>\n<p>An praktischen, interaktiven Beispielen aus dem Finanzwesen demonstrieren wir den vielf\u00e4ltigen Einsatz der Analyse und der Echtzeit\u00fcberwachung von prozesskritischen Abl\u00e4ufen. Insbesondere gehen wir darauf ein, wie schnell und einfach Resultate innerhalb von Tagen erzielt werden k\u00f6nnen und warum der Einsatz des Elastic Stack das operative Gesch\u00e4ft nicht behindert. Legacy Systeme oder obsolete Architekturen sind kein Hindernis f\u00fcr die Elasticsearch Integration. Die neu gewonnene Transparenz verhilft zu neuen H\u00f6henfl\u00fcgen.<\/p>\n<p>Der Referent Vinh Nguy\u00ean jongliert gerne mit Daten &#8211; als Certified Elastic Engineer bei der <a href=\"https:\/\/www.mimacom.com\/\" target=\"_blank\" rel=\"noopener\">mimacom ag<\/a> gerne mit den Open Source L\u00f6sungen des Elastic Stack oder Kafka. Schwerpunkte seiner Arbeiten sind die Transformationen von Daten und Integration von bestehenden Systemen. Skalierbare, zuverl\u00e4ssige und antwortfreudige Architekturen sind ihm eine Herzensangelegenheit, weil von Natur aus die anpassungsf\u00e4higsten Systeme immer \u00fcberleben.<\/p>\n<p><a href=\"https:\/\/www.ch-open.ch\/workinggroups\/open-business-lunch\/obl-zh-elasticsearch-in-finance-processing-lessons-learned-with-big-data\/\">Mehr Informationen<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Elasticsearch ist ein beliebtes Open Source Produkt, das vielf\u00e4ltige L\u00f6sungsszenarien anbietet. Der Einsatz von umfangreichen Suchfunktionen ist nur ein Szenario im Elastic Stack. Ist Elasticsearch f\u00fcr Big Data und Hochverf\u00fcgbarkeit geeignet? Empfohlen von Elastic bietet sich Elasticsearch als Datenspeicher an. Sichte den Datenschatz, gewinne neue und unerwartete Einsichten. Kann Elasticsearch dieses Versprechen halten? An praktischen,&hellip;<\/p>\n","protected":false},"author":14,"featured_media":2313,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[33],"tags":[],"class_list":["post-3629","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>OBL \u201eElasticsearch in Finance Processing \u2013 Lessons Learned with Big Data&quot; &#060; CH Open<\/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:\/\/www.ch-open.ch\/obl-elasticsearch-in-finance-processing-lessons-learned-with-big-data\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OBL \u201eElasticsearch in Finance Processing \u2013 Lessons Learned with Big Data&quot;\" \/>\n<meta property=\"og:description\" content=\"Elasticsearch ist ein beliebtes Open Source Produkt, das vielf\u00e4ltige L\u00f6sungsszenarien anbietet. Der Einsatz von umfangreichen Suchfunktionen ist nur ein Szenario im Elastic Stack. Ist Elasticsearch f\u00fcr Big Data und Hochverf\u00fcgbarkeit geeignet? Empfohlen von Elastic bietet sich Elasticsearch als Datenspeicher an. Sichte den Datenschatz, gewinne neue und unerwartete Einsichten. Kann Elasticsearch dieses Versprechen halten? 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